mba thesis number of words

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The MBA Thesis Explained

Before you are awarded the degree of Master of Business Administration , you must exhibit your capacity to tackle an investigation of a particular management issue and mull over and write about it in a profound manner. This is the very purpose of the MBA thesis.

What is a Thesis?

A thesis is a long piece of article that you write about a specific subject or research and is particularly done for a university degree or higher college accolade.

When you write your MBA thesis, your writing skills are put to the test. This is also your chance to present the interests, ideas, and skills that you have learned in your MBA program in a satisfying but challenging piece of writing.

As you develop your thesis, you need to investigate and analyze a specific management issue from two perspectives, the practical side and the theoretical side, using business research methods. Through your case study, you get to conduct your own research in a field you like (pending approval of a thesis adviser) that will further sharpen your skills and knowledge of that field.

The Objectives of an MBA Thesis

An MBA thesis has the following objectives:

• To authorize students to apply the knowledge they gained in their MBA studies to a particular management issue.
• To give students the chance to study and write about a specific topic that is of relevance and interest to them in a thorough, detailed, and well-researched manner.
• To expose students to the principle of the entire thesis and the process of business research and academic inquiry.
• To allow students to establish their capacity to think conceptually, communicate, and develop rational and structured thinking.

MBA Thesis: The Learning Outcomes

Knowledge and understanding, cognitive and intellectual skills, behavioral skills.

• Initiate a critical and comprehensive understanding of your thesis topic. Ideally, you should have a level of practical experience and expertise within your topic field.
• Obtain an understanding of the application of business research. When you write your research paper, you should have a clear understanding of the limitations and uses of data analysis techniques that may be used in evaluating outcomes in the business management field.
• Before you start to work and write your own ideas for your research paper, make sure you are able to critically analyze evidence and information from both practitioner and academic sources. You should communicate and develop a cohesive argument to support theoretical models and positions.
• Students must know how to argue and evaluate alternative approaches to models and theories
• Your MBA course is also a good way for you to appreciate your skills and competencies in relation to the organization and planning of your research project. Business schools are also perfect venues for students to master their time management skills.
• As you work on your research requirements, you will understand the importance of working autonomously and how to exercise personal responsibility and initiative in achieving your stated objectives.

Thesis vs Dissertation: Is there a difference?

Are you interested in continuing your education after you complete your bachelor’s degree? If so, have you ever wondered if there is a difference between an MBA thesis and a dissertation; the papers that are usually required in master’s schools? Both generally have similarities. However, there are some differences that set both apart.

Similarities

Before looking for the differences between a thesis and a dissertation, know that both are actually very similar. Some schools, in fact, often used these terms interchangeably.

A thesis and a dissertation are simply papers given to master’s students. Because the structure of these papers is generally extensive, students are given larger windows of time to focus, develop, and write the paper they are assigned. The idea is to complete the papers during the last year of master’s study.

Before you get your graduate degree, you have to obtain a passing grade on your papers. The great news is that although you will not be working with other students, you can still get help from your thesis adviser and peers. With this many people helping you with your final paper, passing your dissertations or theses is very achievable.

But in case you fail the first time, most business schools allow you to resubmit your papers after doing more work to finally meet the requirements.

Type of Graduate Program

One difference between a thesis and a dissertation is that a thesis is required for a master’s program, while dissertations are required for a doctorate program. However, this is not always the case. There are some master’s degree programs that no longer require theses or dissertations. Instead, they are offered in two separate paths: the thesis options and the non-thesis options.

Students who later on plan to obtain a doctorate degree are encouraged to go for the thesis option to prepare them for the dissertations that they will have to write as doctorate students.

The biggest difference between theses and dissertations are the intended purpose. Usually required to get a master’s degree, the thesis is designed to test your skills and understanding of your chosen field of study. 

Most business universities require students to create and write a proposition based on the previous work created by others. The idea is to analyze and present these previous works on your paper and make a case for a particular point of view.

Dissertations are done by students in a doctorate program and focus mainly on original research. Students assigned with dissertations are required to think of a subject in the field they’re interested in but haven’t been researched yet. They have to come up with a concept and hypothesis and make original research papers to prove (or disprove) a hypothesis.

MBA Thesis: The Thesis Topic

When you begin working on your thesis topic, you can choose one in any area/industry as long as it is related to a management or business issue. You can create a new topic or develop ideas you have previously worked on in the program, an elective you studied before in various disciplines, or a module assignment. You need to establish a topic that is relevant to contemporary business and academic thinking.

There are also MBA business degree students who are provided with thesis topics by their sponsoring organization. But if this doesn’t work for you, then the development of an original one is required. You need to think about your areas of interest that you can work on. 

Since choosing a topic is already challenging and hard work itself, it’s best to go for something that will sustain your enthusiasm and motivation throughout the long process of making a thesis.

To have an idea as to what topic you can work on, here are guide questions to get you started:

• Is there a managerial/business issue/problem relating to your organization or job that you’re interested to study?
• Do you have a subject area you’re interested in that, if one day you’ll become an expert, would further improve your career?
• Have you come across a business problem that you believe you can help through your research paper?

MBA Thesis: The Research Proposal

The research proposal is the heart of the thesis. This is the outline of the research work you plan on doing for your research. It is a roadmap on which your professional and academic career depends.

The proposal stage of MBA programs will normally require you to answer these questions:

• What are the boundaries and focus of the MBA thesis topic you choose? What will it include? What won’t?
• What are the objectives and aims of your business plan/research?
• Is your proposed thesis topic feasible? Can you handle the terms of scale and scope?
• What topics will you utilize in doing your research?
• Do you have the resources, competencies, and skills to do the research and study the findings?
• What resources do you need to complete your paper?

Research Aim and Objectives

This is your general statement of your paper’s intent or direction. What are you trying to achieve?

These are the clear and specific writing of your paper’s outcomes and intentions. This must be followed by your justification (the rationale behind doing your research).

Literature Review of an MBA Thesis

In this section, you will summarize the key subject and literature that you have read so far. You will indicate the findings, business principles, and ideas you’ve read have relevance to your subject topic. You should also provide the raw data of at least 25 major academic literature references. All in all, your MBA thesis should cite at least 50 credible and relevant references.

The purpose of your literature review is to critically analyze and review documented theories and evidence relative to your topic and recognize what is and is not known in the field.

MBA Thesis: Conducting the Research

In an MBA program, the nature of your thesis will affect what type of final paper you will be writing. Although there are alternative research designs, they are usually categorized into three types:

Exploratory Research

You use this on your MBA thesis when you have a few existing ideas about the topic you are writing about. This involves observation of a previously under-researched or new topic. The research design of exploratory study uses qualitative methods and is generally not designed to test defined study hypotheses.

Descriptive Research

This is where you define a situation or phenomenon and has a very good structure. Your starting point for this paper starts with your ideas on existing hypotheses that you can then use in identifying variables to be measured. You can use quantitative methods and descriptive statistics in this type of writing.

Explanatory Research

Also called causal study, your presentation here is more on identifying and explaining the relationship between variables that affect a situation. You come up with hypotheses and collect data that supports or negates these hypotheses.

Tips To Help You Prepare and Write a Good MBA Thesis

Whether you have a thesis adviser or you get professional assistance on your analysis for your MBA thesis, making your paper is very challenging. You need the right structure and all the freshest ideas to help you complete your final paper.

To help you complete your MBA degree and its corresponding thesis and capstone projects, you need practical steps to make your business school education truly rewarding in the end. For both local and international students all over the world, here are some helpful tips to make a good MBA thesis.

Choose a topic you’re interested in.

It takes a great deal of work, time, and dedication to finish an MBA thesis successfully. So why would you want to write something you’re least interested in? One of the great benefits of an MBA thesis is that you can choose and work on your own ideas about a specific subject. From there, build a solid structure and work on your writing skills to prove to everybody how bright your ideas are.

Select a topic that has a lot of information available.

Just like the significance of choosing a topic you love, you should also go for a topic that has lots of information available. Of course, your MBA thesis is not just a mere presentation of facts and figures. You need to have readily available facts to draw conclusions.

Be creative and methodical.

An MBA thesis requires a lot of analysis so you can gather enough data to support your argument. As you gather information, be open-minded. Avoid limiting yourself to the usual methods of compiling data. We are now in a digital world where anybody can compile data in so many ways. Simply put, diversify the way you present data in your MBA thesis.

Recheck facts and details, and recheck twice!

When you’re done with your MBA thesis, make sure you recheck your facts, twice! In a business school, your thesis is the most critical part of your entire graduate school journey. Check, then re-check every detail, fact, or figure in your work.

If you can, ask a university mentor to go over your thesis: from the introduction down to the conclusion. Maybe he/she can contribute more to the effectiveness of your writing.

MBA Thesis: When Should You Pursue?

How do you stand out and make real companies feel that you can be a great addition to them? Is having a business administration education enough? What are the implications if you want to pursue a master’s? And if you do, when is a thesis-based MBA right for you?

• If you are planning to get a doctorate in business and you also want to make the most of your master’s program experience, go for a thesis-based MBA.
• If you love to write, you want to further your education, or you plan to teach, a thesis-based MBA should be considered.

How Long is the Thesis for an MBA Program?

An MBA thesis usually ranges from 100 to 300 pages– from the introduction down to the last page, excluding the bibliography. However, the length generally depends on different factors, like the method of study or the subject matter.

There is no ‘correct’ word count or page length to aim for. Your MBA thesis, instead, has to be long enough for you to correctly convey the information you need to convey in a clear manner.

Overall, the MBA thesis is designed to support the professional and academic qualifications of graduate students.

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Understanding the length of an mba thesis: duration and word count insights.

An MBA thesis represents a significant undertaking that marks the culmination of a graduate student's learning journey. It is a detailed document that requires extensive research, a clear understanding of the subject matter, and a commitment to academic excellence. This article aims to demystify the length of an MBA thesis by exploring its duration and word count, providing insights into the scope and structure of the thesis, and offering practical guidance for navigating the thesis-writing process.

Key Takeaways

• An MBA thesis typically ranges from 10,000 to 25,000 words, requiring several months to complete, depending on the topic's complexity and the student's dedication.
• The structure of an MBA thesis includes an introduction, literature review, methodology, findings, and conclusion, with each section contributing to the overall argument and research objectives.
• Effective strategies for thesis writing include selecting a viable topic, adhering to a structured research methodology, and implementing rigorous writing and revision processes to overcome common challenges.

The Scope and Structure of an MBA Thesis

Defining the academic expectations.

When you embark on the journey of writing your MBA thesis, understanding the academic expectations is crucial. This is not just another assignment; it is a comprehensive demonstration of your critical thinking and research skills, which will contribute significantly to your professional development. Master thesis writing is essential for graduate programs , and it is expected that you will engage with a wide range of reading materials and demonstrate an understanding of innovative research within the business community.

The structure of your thesis will typically include sections such as the Introduction, Literature Review, Research Objectives, Methodology, Data Analysis, and Conclusion. Each section serves a distinct purpose and requires a clear set of objectives to ensure focused research. It's important to note that the length of your thesis could vary depending on your chosen topic and the depth of analysis required. However, a graduate thesis typically comprises 70 to 100 pages , excluding the bibliography.

As you take on the role of a real researcher , remember that the MBA thesis is a paper based on your findings and their analysis. The process will challenge your time management and organization skills, but seeking assistance can greatly enhance the quality and success of your work. Below is a list of key components that you should include in your MBA thesis:

• Introduction
• Literature Review
• Research Objectives
• Methodology
• Data Analysis

By adhering to these components and maintaining a rigorous approach to your research, you will be well on your way to producing a thesis that meets the high standards of an MBA program.

Typical Duration for Completion

Embarking on your MBA thesis is a commitment that requires both time and dedication. The journey from topic selection to final submission typically spans 12 to 24 months , depending on various factors such as the complexity of your research, the requirements of your MBA program, and your personal time management. During this period, you will engage in a rigorous process of research, analysis, and writing.

To help you navigate this journey, many resources are available, including worksheets, tools, and personalized guidance. Websites like Research Rebels offer a suite of tools designed to support students and professors throughout the thesis process. Their Thesis Action Plan , for example, provides a structured approach to thesis writing, emphasizing organization and effective completion strategies. Additionally, they offer valuable tips for overcoming thesis writing anxiety , ensuring you maintain a healthy work-life balance while pursuing your academic goals.

Remember, the duration of your thesis is not just about meeting deadlines; it's about immersing yourself in your topic, mastering your subject, and contributing valuable knowledge to your field of study. Stay focused, utilize available resources, and approach each phase of your thesis with a clear plan and determination.

Standard Word Count and Content Requirements

When embarking on your MBA thesis, understanding the word count and content requirements is crucial for planning and structuring your work effectively. Typically, an MBA thesis ranges from 10,000 to 25,000 words , encompassing a comprehensive exploration of your chosen topic. The exact length may vary depending on your institution's guidelines and the complexity of your research.

Your thesis will include several key components: an introduction, literature review, methodology, results, discussion, and a conclusion. The conclusion should represent approximately 5-10% of the total word count , ensuring a succinct yet impactful final statement on your findings. It's essential to adhere to the standard structure, as it provides a clear and logical framework for your research.

To assist you in the writing process, consider utilizing available resources such as worksheets, guides, and templates . These tools can help bridge the gap between academic expectations and your writing, making the journey less daunting. Remember, the thesis is a significant part of your academic journey , and with the right approach, you can craft a document that meets all necessary criteria and showcases your analytical and reasoning skills.

Comparative Analysis with Other Academic Papers

When you embark on the journey of writing your MBA thesis, it's beneficial to understand how it stacks up against other academic papers. A master's thesis, as reported by Masterstudies.com, is a long and tedious process , often taking about a year from topic selection to research completion. In terms of length, a master's thesis typically ranges from 40-80 pages , and sometimes extends to 100 pages, while a dissertation can span from 100 to 300 pages, indicating a more in-depth exploration of the subject matter.

Your MBA thesis will also include a dissertation proposal, which serves as a concise outline of your proposed research project. This proposal usually spans 2000 to 4000 words , or approximately 8 to 16 pages. The structure of an MBA thesis generally aligns with that of other academic papers, including essential components such as the title, abstract, literature review, and methodology. However, the emphasis on original work or thought, particularly in the form of data collection or analytical processes, is a distinctive feature of an MBA thesis.

To give you a clearer picture, here's a comparative overview:

Remember, while these figures provide a general guideline, the actual length of your thesis may vary based on your academic institution's requirements and the scope of your research.

Navigating the MBA Thesis Journey

Selecting a viable topic.

Embarking on your MBA thesis begins with the pivotal step of selecting a viable topic . It's essential to choose a subject that not only sparks your interest but also meets academic expectations and contributes to your field of study. Remember, there is no point in choosing a topic that may not be feasible or practical . To ensure the viability of your idea, engage with your peers, mentors, and the wider audience to gather feedback before finalizing your decision.

While it may seem daunting, don't fret if your initial ideas have been explored before . The key lies in approaching them from a fresh perspective or applying them to new contexts. Here are some steps to guide you through the process:

• Identify your areas of interest and passion
• Conduct a preliminary literature review to understand the current discourse
• Evaluate the feasibility and scope of potential topics
• Seek advice from faculty and industry professionals

Choose something that will hold your interest throughout the journey of your thesis. A topic that resonates with you will not only be more enjoyable to research but will also reflect in the quality of your work.

Research Methodology and Data Analysis

Once you have selected a viable topic for your MBA thesis, the next critical step is to determine the appropriate research methodology and perform data analysis. Your choice of research methodology will significantly impact the direction and efficacy of your study. It is essential to understand the difference between qualitative and quantitative methods, as each serves a different research purpose. Qualitative research methodology involves exploring and understanding complex phenomena through non-numeric data, often utilizing methods like interviews and focus groups. In contrast, quantitative research employs statistical techniques to test hypotheses and analyze numerical data.

When it comes to data analysis, mastering tools and techniques is crucial for interpreting your findings accurately. For instance, K-Means clustering is a popular machine learning algorithm used for grouping data points with similar characteristics, which can be particularly useful in market basket analysis to understand customer purchasing patterns. Additionally, employing statistical storytelling can help in presenting your data in a compelling and understandable manner. Below is a list of steps to guide you through this phase:

• Design effective studies to address your research questions.
• Collect and analyze data, whether qualitative or quantitative.
• Apply research findings to solve real-world business problems .
• Define the purpose of your thesis to maintain research focus and motivation.

Remember, the methodology and analysis are not just about collecting data; they are about providing comprehensive insights that can inform management decisions and strategies.

Writing and Revision Strategies

Embarking on the writing phase of your MBA thesis can be daunting, but with the right strategies, you can navigate this journey with greater ease. Begin by establishing a clear outline that reflects the structure of your thesis, including all the necessary sections from the introduction to the conclusion. This will serve as a roadmap, guiding your writing process and ensuring that you cover all critical points.

Utilize available resources to streamline your writing. Websites offer tools for thesis writing , including worksheets and templates, which can significantly enhance your efficiency and satisfaction. These tools can help you maintain a consistent structure and format, which are crucial for academic writing. Moreover, they provide guidance on crafting effective proposals and managing your time effectively, which are essential aspects of the thesis journey.

Revision is an integral part of writing your thesis. It's not just about correcting grammar or spelling errors; it's about refining your arguments, ensuring clarity, and strengthening the overall coherence of your work. Create a revision checklist that includes feedback from professors and peers, and be prepared to revise multiple drafts. Remember, a well-revised thesis is a testament to your dedication and scholarly rigor.

Lastly, consider the following table that outlines the common stages of thesis writing and revision, along with estimated timeframes:

Overcoming Common Challenges

Embarking on your MBA thesis can be a daunting endeavor, with numerous challenges that may seem insurmountable. Understanding your supervisor's perspective is crucial; they are your ally in this academic journey. By aligning your expectations with theirs, you can navigate the path to a successful thesis more smoothly. It's also essential to purchase study guides and other resources that can provide immediate access to valuable insights, helping to reduce anxiety and improve your writing skills.

Maintaining a social life is often overlooked but is vital for your overall well-being and academic success. Here are some strategies to help you balance your commitments:

• Set clear boundaries between work and personal time.
• Practice self-discipline to adhere to your study schedule.
• Implement effective time management to ensure productivity without burnout.

Remember, producing original work and ensuring the quality of your report are the cornerstones of your thesis. Avoid common pitfalls such as improper referencing and plagiarism, which can undermine your hard work. Stay informed about the latest resources and strategies by following academic blogs and engaging with student communities. Together, these steps will empower you to overcome the challenges of thesis writing and emerge victorious in your academic pursuits.

Embarking on your MBA thesis can be a daunting task, but you don't have to navigate it alone. Research Rebels offers a proven step-by-step Thesis Action Plan to guide you through the process, ensuring a stress-free journey to success. Our innovative approach, developed by Prof. Jan and tested by students worldwide, provides clarity and transforms complex concepts into manageable steps. Don't let anxiety and sleepless nights dominate your academic experience. Visit our website now to claim your special offer and take the first step towards mastering your thesis with confidence and ease.

In conclusion, the journey of crafting an MBA thesis is both a rigorous academic endeavor and a significant milestone in a student's educational journey. The duration and word count of an MBA thesis can vary widely, reflecting the depth and scope of research required by different institutions and disciplines. Typically, an MBA thesis may span from 80 to 100 pages, with a word count that can range from 15,000 to 25,000 words. However, these figures are not set in stone and should be viewed as guidelines rather than strict requirements. Students must engage with their advisors to understand the expectations and standards specific to their program. Ultimately, the quality and scholarly contribution of the thesis hold more weight than mere length. It is the student's ability to demonstrate comprehensive knowledge, critical thinking, and scholarly rigor that will determine the success of their thesis.

Frequently Asked Questions

What is the typical duration for completing an mba thesis.

The typical duration for completing an MBA thesis varies by institution but generally ranges from 1 to 2 years, depending on whether the student is enrolled full-time or part-time, and the complexity of the research topic.

How many words should an MBA thesis typically contain?

The word count for an MBA thesis can vary widely, but it generally falls between 15,000 to 25,000 words. This includes all main text, footnotes, and appendices, but does not include the bibliography or reference section.

How does an MBA thesis differ from other academic papers?

An MBA thesis is more comprehensive and in-depth than most other academic papers. It requires original research or a new application of existing research, a literature review, methodology, data analysis, and a discussion of findings, culminating in a set of conclusions or recommendations.

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• Formatting Your Dissertation
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On this page:

Language of the Dissertation

Page and text requirements, body of text, tables, figures, and captions, dissertation acceptance certificate, copyright statement.

• Table of Contents

Front and Back Matter

Supplemental material, dissertations comprising previously published works, top ten formatting errors, further questions.

• Related Contacts and Forms

When preparing the dissertation for submission, students must follow strict formatting requirements. Any deviation from these requirements may lead to rejection of the dissertation and delay in the conferral of the degree.

The language of the dissertation is ordinarily English, although some departments whose subject matter involves foreign languages may accept a dissertation written in a language other than English.

Most dissertations are 100 to 300 pages in length. All dissertations should be divided into appropriate sections, and long dissertations may need chapters, main divisions, and subdivisions.

• 8½ x 11 inches, unless a musical score is included
• At least 1 inch for all margins
• Body of text: double spacing
• Block quotations, footnotes, and bibliographies: single spacing within each entry but double spacing between each entry
• Table of contents, list of tables, list of figures or illustrations, and lengthy tables: single spacing may be used

Fonts and Point Size

Use 10-12 point size. Fonts must be embedded in the PDF file to ensure all characters display correctly. 

Recommended Fonts

If you are unsure whether your chosen font will display correctly, use one of the following fonts: 

If fonts are not embedded, non-English characters may not appear as intended. Fonts embedded improperly will be published to DASH as-is. It is the student’s responsibility to make sure that fonts are embedded properly prior to submission. 

Instructions for Embedding Fonts

To embed your fonts in recent versions of Word, follow these instructions from Microsoft:

• Click the File tab and then click Options .
• In the left column, select the Save tab.
• Clear the Do not embed common system fonts check box.

For reference, below are some instructions from ProQuest UMI for embedding fonts in older file formats:

To embed your fonts in Microsoft Word 2010:

• In the File pull-down menu click on Options .
• Choose Save on the left sidebar.
• Check the box next to Embed fonts in the file.
• Click the OK button.
• Save the document.

Note that when saving as a PDF, make sure to go to “more options” and save as “PDF/A compliant”

To embed your fonts in Microsoft Word 2007:

• Click the circular Office button in the upper left corner of Microsoft Word.
• A new window will display. In the bottom right corner select Word Options . 
• Choose Save from the left sidebar.

Using Microsoft Word on a Mac:

Microsoft Word 2008 on a Mac OS X computer will automatically embed your fonts while converting your document to a PDF file.

If you are converting to PDF using Acrobat Professional (instructions courtesy of the Graduate Thesis Office at Iowa State University):  

• Open your document in Microsoft Word. 
• Click on the Adobe PDF tab at the top. Select "Change Conversion Settings." 
• Click on Advanced Settings. 
• Click on the Fonts folder on the left side of the new window. In the lower box on the right, delete any fonts that appear in the "Never Embed" box. Then click "OK." 
• If prompted to save these new settings, save them as "Embed all fonts." 
• Now the Change Conversion Settings window should show "embed all fonts" in the Conversion Settings drop-down list and it should be selected. Click "OK" again. 
• Click on the Adobe PDF link at the top again. This time select Convert to Adobe PDF. Depending on the size of your document and the speed of your computer, this process can take 1-15 minutes. 
• After your document is converted, select the "File" tab at the top of the page. Then select "Document Properties." 
• Click on the "Fonts" tab. Carefully check all of your fonts. They should all show "(Embedded Subset)" after the font name. 
•  If you see "(Embedded Subset)" after all fonts, you have succeeded.

The font used in the body of the text must also be used in headers, page numbers, and footnotes. Exceptions are made only for tables and figures created with different software and inserted into the document.

Tables and figures must be placed as close as possible to their first mention in the text. They may be placed on a page with no text above or below, or they may be placed directly into the text. If a table or a figure is alone on a page (with no narrative), it should be centered within the margins on the page. Tables may take up more than one page as long as they obey all rules about margins. Tables and figures referred to in the text may not be placed at the end of the chapter or at the end of the dissertation.

• Given the standards of the discipline, dissertations in the Department of History of Art and Architecture and the Department of Architecture, Landscape Architecture, and Urban Planning often place illustrations at the end of the dissertation.

Figure and table numbering must be continuous throughout the dissertation or by chapter (e.g., 1.1, 1.2, 2.1, 2.2, etc.). Two figures or tables cannot be designated with the same number. If you have repeating images that you need to cite more than once, label them with their number and A, B, etc. 

Headings should be placed at the top of tables. While no specific rules for the format of table headings and figure captions are required, a consistent format must be used throughout the dissertation (contact your department for style manuals appropriate to the field).

Captions should appear at the bottom of any figures. If the figure takes up the entire page, the caption should be placed alone on the preceding page, centered vertically and horizontally within the margins.

Each page receives a separate page number. When a figure or table title is on a preceding page, the second and subsequent pages of the figure or table should say, for example, “Figure 5 (Continued).” In such an instance, the list of figures or tables will list the page number containing the title. The word “figure” should be written in full (not abbreviated), and the “F” should be capitalized (e.g., Figure 5). In instances where the caption continues on a second page, the “(Continued)” notation should appear on the second and any subsequent page. The figure/table and the caption are viewed as one entity and the numbering should show correlation between all pages. Each page must include a header.

Landscape orientation figures and tables must be positioned correctly and bound at the top so that the top of the figure or table will be at the left margin. Figure and table headings/captions are placed with the same orientation as the figure or table when on the same page. When on a separate page, headings/captions are always placed in portrait orientation, regardless of the orientation of the figure or table. Page numbers are always placed as if the figure were vertical on the page.

If a graphic artist does the figures, Harvard Griffin GSAS will accept lettering done by the artist only within the figure. Figures done with software are acceptable if the figures are clear and legible. Legends and titles done by the same process as the figures will be accepted if they too are clear, legible, and run at least 10 or 12 characters per inch. Otherwise, legends and captions should be printed with the same font used in the text.

Original illustrations, photographs, and fine arts prints may be scanned and included, centered between the margins on a page with no text above or below.

Use of Third-Party Content

In addition to the student's own writing, dissertations often contain third-party content or in-copyright content owned by parties other than you, the student who authored the dissertation. The Office for Scholarly Communication recommends consulting the information below about fair use, which allows individuals to use in-copyright content, on a limited basis and for specific purposes, without seeking permission from copyright holders.

Because your dissertation will be made available for online distribution through DASH , Harvard's open-access repository, it is important that any third-party content in it may be made available in this way.

Fair Use and Copyright 

What is fair use?

Fair use is a provision in copyright law that allows the use of a certain amount of copyrighted material without seeking permission. Fair use is format- and media-agnostic. This means fair use may apply to images (including photographs, illustrations, and paintings), quoting at length from literature, videos, and music regardless of the format. 

How do I determine whether my use of an image or other third-party content in my dissertation is fair use?  

There are four factors you will need to consider when making a fair use claim.

1) For what purpose is your work going to be used?

• Nonprofit, educational, scholarly, or research use favors fair use. Commercial, non-educational uses, often do not favor fair use.
• A transformative use (repurposing or recontextualizing the in-copyright material) favors fair use. Examining, analyzing, and explicating the material in a meaningful way, so as to enhance a reader's understanding, strengthens your fair use argument. In other words, can you make the point in the thesis without using, for instance, an in-copyright image? Is that image necessary to your dissertation? If not, perhaps, for copyright reasons, you should not include the image.  

2) What is the nature of the work to be used?

• Published, fact-based content favors fair use and includes scholarly analysis in published academic venues. 
• Creative works, including artistic images, are afforded more protection under copyright, and depending on your use in light of the other factors, may be less likely to favor fair use; however, this does not preclude considerations of fair use for creative content altogether.

3) How much of the work is going to be used?  

• Small, or less significant, amounts favor fair use. A good rule of thumb is to use only as much of the in-copyright content as necessary to serve your purpose. Can you use a thumbnail rather than a full-resolution image? Can you use a black-and-white photo instead of color? Can you quote select passages instead of including several pages of the content? These simple changes bolster your fair use of the material.

4) What potential effect on the market for that work may your use have?

• If there is a market for licensing this exact use or type of educational material, then this weighs against fair use. If however, there would likely be no effect on the potential commercial market, or if it is not possible to obtain permission to use the work, then this favors fair use. 

For further assistance with fair use, consult the Office for Scholarly Communication's guide, Fair Use: Made for the Harvard Community and the Office of the General Counsel's Copyright and Fair Use: A Guide for the Harvard Community .

What are my options if I don’t have a strong fair use claim? 

Consider the following options if you find you cannot reasonably make a fair use claim for the content you wish to incorporate:

• Seek permission from the copyright holder. 
• Use openly licensed content as an alternative to the original third-party content you intended to use. Openly-licensed content grants permission up-front for reuse of in-copyright content, provided your use meets the terms of the open license.
• Use content in the public domain, as this content is not in-copyright and is therefore free of all copyright restrictions. Whereas third-party content is owned by parties other than you, no one owns content in the public domain; everyone, therefore, has the right to use it.

For use of images in your dissertation, please consult this guide to Finding Public Domain & Creative Commons Media , which is a great resource for finding images without copyright restrictions. 

Who can help me with questions about copyright and fair use?

Contact your Copyright First Responder . Please note, Copyright First Responders assist with questions concerning copyright and fair use, but do not assist with the process of obtaining permission from copyright holders.

Pages should be assigned a number except for the Dissertation Acceptance Certificate . Preliminary pages (abstract, table of contents, list of tables, graphs, illustrations, and preface) should use small Roman numerals (i, ii, iii, iv, v, etc.). All pages must contain text or images.  

Count the title page as page i and the copyright page as page ii, but do not print page numbers on either page .

For the body of text, use Arabic numbers (1, 2, 3, 4, 5, etc.) starting with page 1 on the first page of text. Page numbers must be centered throughout the manuscript at the top or bottom. Every numbered page must be consecutively ordered, including tables, graphs, illustrations, and bibliography/index (if included); letter suffixes (such as 10a, 10b, etc.) are not allowed. It is customary not to have a page number on the page containing a chapter heading.

• Check pagination carefully. Account for all pages.

A copy of the Dissertation Acceptance Certificate (DAC) should appear as the first page. This page should not be counted or numbered. The DAC will appear in the online version of the published dissertation. The author name and date on the DAC and title page should be the same. 

The dissertation begins with the title page; the title should be as concise as possible and should provide an accurate description of the dissertation. The author name and date on the DAC and title page should be the same. 

• Do not print a page number on the title page. It is understood to be page  i  for counting purposes only.

A copyright notice should appear on a separate page immediately following the title page and include the copyright symbol ©, the year of first publication of the work, and the name of the author:

© [ year ] [ Author’s Name ] All rights reserved.

Alternatively, students may choose to license their work openly under a  Creative Commons  license. The author remains the copyright holder while at the same time granting up-front permission to others to read, share, and (depending on the license) adapt the work, so long as proper attribution is given. (By default, under copyright law, the author reserves all rights; under a Creative Commons license, the author reserves some rights.)

• Do  not  print a page number on the copyright page. It is understood to be page  ii  for counting purposes only.

An abstract, numbered as page  iii , should immediately follow the copyright page and should state the problem, describe the methods and procedures used, and give the main results or conclusions of the research. The abstract will appear in the online and bound versions of the dissertation and will be published by ProQuest. There is no maximum word count for the abstract. 

• double-spaced
• left-justified
• indented on the first line of each paragraph
• The author’s name, right justified
• The words “Dissertation Advisor:” followed by the advisor’s name, left-justified (a maximum of two advisors is allowed)
• Title of the dissertation, centered, several lines below author and advisor

Dissertations divided into sections must contain a table of contents that lists, at minimum, the major headings in the following order:

• Front Matter
• Body of Text
• Back Matter

Front matter includes (if applicable):

• acknowledgements of help or encouragement from individuals or institutions
• a dedication
• a list of illustrations or tables
• a glossary of terms
• one or more epigraphs.

Back matter includes (if applicable):

• bibliography
• supplemental materials, including figures and tables
• an index (in rare instances).

Supplemental figures and tables must be placed at the end of the dissertation in an appendix, not within or at the end of a chapter. If additional digital information (including audio, video, image, or datasets) will accompany the main body of the dissertation, it should be uploaded as a supplemental file through ProQuest ETD . Supplemental material will be available in DASH and ProQuest and preserved digitally in the Harvard University Archives.

As a matter of copyright, dissertations comprising the student's previously published works must be authorized for distribution from DASH. The guidelines in this section pertain to any previously published material that requires permission from publishers or other rightsholders before it may be distributed from DASH. Please note:

• Authors whose publishing agreements grant the publisher exclusive rights to display, distribute, and create derivative works will need to seek the publisher's permission for nonexclusive use of the underlying works before the dissertation may be distributed from DASH.
• Authors whose publishing agreements indicate the authors have retained the relevant nonexclusive rights to the original materials for display, distribution, and the creation of derivative works may distribute the dissertation as a whole from DASH without need for further permissions.

It is recommended that authors consult their publishing agreements directly to determine whether and to what extent they may have transferred exclusive rights under copyright. The Office for Scholarly Communication (OSC) is available to help the author determine whether she has retained the necessary rights or requires permission. Please note, however, the Office of Scholarly Communication is not able to assist with the permissions process itself.

• Missing Dissertation Acceptance Certificate.  The first page of the PDF dissertation file should be a scanned copy of the Dissertation Acceptance Certificate (DAC). This page should not be counted or numbered as a part of the dissertation pagination.
• Conflicts Between the DAC and the Title Page.  The DAC and the dissertation title page must match exactly, meaning that the author name and the title on the title page must match that on the DAC. If you use your full middle name or just an initial on one document, it must be the same on the other document.  
• Abstract Formatting Errors. The advisor name should be left-justified, and the author's name should be right-justified. Up to two advisor names are allowed. The Abstract should be double spaced and include the page title “Abstract,” as well as the page number “iii.” There is no maximum word count for the abstract. 
•  The front matter should be numbered using Roman numerals (iii, iv, v, …). The title page and the copyright page should be counted but not numbered. The first printed page number should appear on the Abstract page (iii). 
• The body of the dissertation should be numbered using Arabic numbers (1, 2, 3, …). The first page of the body of the text should begin with page 1. Pagination may not continue from the front matter. 
• All page numbers should be centered either at the top or the bottom of the page.
• Figures and tables Figures and tables must be placed within the text, as close to their first mention as possible. Figures and tables that span more than one page must be labeled on each page. Any second and subsequent page of the figure/table must include the “(Continued)” notation. This applies to figure captions as well as images. Each page of a figure/table must be accounted for and appropriately labeled. All figures/tables must have a unique number. They may not repeat within the dissertation.
• Any figures/tables placed in a horizontal orientation must be placed with the top of the figure/ table on the left-hand side. The top of the figure/table should be aligned with the spine of the dissertation when it is bound. 
• Page numbers must be placed in the same location on all pages of the dissertation, centered, at the bottom or top of the page. Page numbers may not appear under the table/ figure.
• Supplemental Figures and Tables. Supplemental figures and tables must be placed at the back of the dissertation in an appendix. They should not be placed at the back of the chapter. 
• Permission Letters Copyright. permission letters must be uploaded as a supplemental file, titled ‘do_not_publish_permission_letters,” within the dissertation submission tool.
•  DAC Attachment. The signed Dissertation Acceptance Certificate must additionally be uploaded as a document in the "Administrative Documents" section when submitting in Proquest ETD . Dissertation submission is not complete until all documents have been received and accepted.
• Overall Formatting. The entire document should be checked after all revisions, and before submitting online, to spot any inconsistencies or PDF conversion glitches.
• You can view dissertations successfully published from your department in DASH . This is a great place to check for specific formatting and area-specific conventions.
• Contact the  Office of Student Affairs  with further questions.

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MBA dissertation help: how to choose a topic, plan, and write your dissertation

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MBA dissertations and consultancy projects are the final modules on most MBA programmes . Our participants can opt for either a traditional dissertation (with a theoretical focus) or a hands-on project, which will see you consulting for a real organisation alongside a team of peers.  

Whether you choose a dissertation or consultancy project, you will still be required to submit a written exploration of a research question that is relevant to the world of business as part of the module. This guide offers MBA dissertation help that remains applicable whichever route you take on your Full-time MBA.

Read on to learn about the early stages of the process, choosing a topic, planning out your workload, and how to write an MBA dissertation or individual consulting report. Written by the MBA team here at Warwick Business School (WBS), this article also features some helpful first-hand advice from one of our MBA graduates, Kristen Rossi who studied our Full-time MBA.

An introduction to MBA dissertations and consultancy projects

Completing either an MBA dissertation or consultancy project is a requirement on Full-time MBA courses ; alternatively, participants at WBS can opt for an internship to satisfy the Capstone module .

Although this work will be completed towards the end of your programme, it’s worth getting ahead of the game. Given that your dissertation or project will contribute significantly towards your final result, we recommend learning about the requirements and how the process works even before you apply for an MBA.

As Full-time Warwick MBA graduate, Kristen Rossi, puts it: 

From the second the MBA started, there was talk of “The Project & Dissertation” – the part of the MBA that is worth the most credit, which will probably involve an outside company, and (gasp) that you will do alone!

Unless you take part in an internship in place of the module, your first port of call is to choose between an MBA dissertation or a consultancy project. Seem like a daunting decision to make? We’ve outlined the key points of difference to help you get off on the right track.

What is an MBA dissertation?

An MBA dissertation is an independent, yet supervised, research project. It is designed to demonstrate that you have assimilated your learning throughout the MBA course and that you can explore a business issue thoroughly, considering multiple perspectives on the subject.

The output from an MBA dissertation is a piece of written work that explores a research question relevant to the world of business. You could explore any one of a wide range of different topics as part of the dissertation, but your writing should have an academic focus with a strong grounding in theory and your own independent research.

At WBS, you may also choose to focus on Entrepreneurship as part of your MBA dissertation, which is a requirement if you choose the Entrepreneurship Specialism. This allows you to take a deep dive into a new business idea, tackle an existing issue, or use the opportunity to help launch your own venture.

What is a strategic consultancy project?

A strategic consultancy project provides you with hands-on experience of consulting on behalf of a real organisation and investigating a specific business challenge that it faces. Taking place for 10 to 12 weeks over the summer period, you’ll work alongside a group of your peers at the same organisation.

WBS participants can choose their own groups and, as Kristen comments, are given support in sourcing a project: 

The consultancy project and dissertation is usually supported by a client who has a topic or question that they would like to know more about. WBS provides specific, mandatory careers sessions dedicated to the consultancy project and dissertation.

The Business School has partnered with many global industry leaders as part of the consultancy projects, from Barclays to Sony and Microsoft. 

Once you’ve chosen a group and organisation, each participant selects their own distinct research question. The deliverable is then an individual consulting report addressing this question.

You can find out more about consultancy projects from Antonia in the film below:

The differences between an MBA dissertation and consultancy project

A consultancy project still requires you to produce an extended piece of written work in the form of your individual consulting report, but it differs from an MBA dissertation in a number of ways:

• A strategic consultancy project is hands-on, requiring you to engage with a business issue faced by a real organisation, whereas an MBA dissertation is more theoretical.
• The scope of the issue you explore as part of a project will typically be much narrower and more focused than a dissertation, which can investigate a much broader topic area.
• An MBA dissertation should aim to further the academic community’s understanding of a particular area of business; a consultancy project is geared towards solving a real-world business problem for a specific organisation or group of organisations.

How will a dissertation or project benefit you?

This final phase of your MBA course gives you the opportunity to explore a particular topic in great depth, enhancing your academic or practical understanding of an area of business. 

For many participants the dissertation or project is a formative experience that has a tangible impact on their future career paths, supporting their professional ambitions.

But don’t just take it from us. What does Kristen have to say?

“I can only speak for myself, but with the project and dissertation, I gained three things. Firstly, slightly superficial, I now have a fabulous new brand on my CV, Aston Martin Lagonda. 

“Secondly, through the interviews I conducted for my primary research I had the privilege to learn a lot about the luxury automotive sector, which I would otherwise have not had the opportunity to learn as much about. Writing to and setting up a conversation with the CMO of a major firm is made easier when you have WBS and the justification of a dissertation, and the information they share is priceless. 

“Thirdly, although tedious, I had the opportunity to deep-dive into a particular topic – marketing ROI best practices. This really helped me to understand the challenges and remedies of this topic in depth and will certainly help me as I make my career jump in the coming months.”

Choosing an MBA dissertation topic

Like many participants, you may feel nervous about the thought of choosing a suitable MBA dissertation topic. In reality, however, this is nothing to worry about.

As you progress through the early stages of your MBA programme, you’ll undoubtedly find yourself drawn to a particular area of study or type of business problem. The direction you take is also likely to be influenced by your pre-existing career goals and professional experience. 

On this point, Kristen recommends that you make the project work for you:

When choosing your client project and dissertation, try to focus on an industry and topic that you hope to transition into. If you are looking to move into finance, work on a project that will provide you with the knowledge to help you land the job!

It’s also worth noting that you’ll be given extensive support when it comes to picking a research question or sourcing a project. You’ll attend sessions dedicated to selecting the right topic in the run-up to the start of the dissertation or project module — and there is always additional help available at WBS.

How to write an MBA dissertation

Once you’ve chosen a topic for your MBA dissertation or project, your work on the module can begin in earnest.

As a Warwick Business School participant, you’ll be guided through the process from the outset. But if you’re still at the stage of wondering whether this is something you’d want to pursue in the first place, here’s a brief overview packed with MBA dissertation advice from one of our graduates.

Making contact with your supervisor

Kristen’s top tip for writing an MBA dissertation is not to wait to be assigned a supervisor:

“Once your project applications have been whittled down to interviews (early May for the Full-time MBA), look at the topics and seek out an academic in the school whose knowledge (and personality) you think would match the project and you. The sooner you do this the better.

“I had finalised my supervisor by the beginning of June and this head start was extremely beneficial. It allowed me to better project manage the different chapters of the dissertation and be more in control of the process.”

The planning phase

Delivering a successful MBA dissertation or consulting report is an exercise in sound project management; just one of the many ways in which it sets you up well for later working life. And it’s universally acknowledged that the best approach to take with any large-scale project is to break it down into bite-size chunks.

Kristen suggests seeking support to divide up the dissertation into smaller components, from the draft of your first chapter through to the final submission:

With the help of your supervisor, work backwards and set up a timeline to tackle each section of the dissertation. Include milestones where you will check-in with your supervisor (face-to-face is recommended) as well.

Preparing your literature review

The literature review is the all-important foundation of any dissertation – MBA-level or otherwise. 

Kristen’s experience speaks to the value of starting your research early and keeping a record of all the papers and publications you encounter along the way:

“Once you roughly know the topic of your project and dissertation, start researching. Do not wait until you have a supervisor or until your elective modules are finished. Start immediately! I recommend this for three reasons.

“Firstly, the initial articles you find will most likely not be the gems you hope them to be and it will take a lot of speed-reading and trial and error before you uncover the wisdom that will actually inform your research. 

“Secondly, once you find relevant research, it will take time to read it and most academic literature is not a page-turning detective novel (I can attest to falling asleep mid-read on several occasions). 

“Finally, I am a believer that to truly understand and process new material, you need time. Give yourself the time to read, step away and think, and come back to it. In the end, you will be grateful that you did.

Further to this point, when reading journal publications look at the references the author cites. Seek out these additional authors and their publications.”

Communicating with your client contact on a consulting project

Should you opt for a strategic consulting project, the way you manage the relationship with your client organisation is just as important as the write-up of the final report. Kristen offers this final piece of advice:

“If you are not going to their office, then from the beginning of your relationship set in place weekly 30-minute Skype sessions to keep the client up-to-date with what you are doing. This will allow you to build a relationship with them and will help you to address any hiccups along the way. 

“Sometimes after starting your research, you may find that the client’s initial request is too broad. This is okay, but you will need to bring it up and negotiate a more realistic deliverable. The weekly updates are also beneficial. As you research, you may find yourself going off in the wrong direction. Checking in with your client on a weekly basis will help you stay on track.”

------------------------

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How Many Words In A Dissertation? [A Word Count Guide]

/ By Alan Reiner

/ September 6, 2022

When students begin writing a dissertation, the first thing they look for is the dissertation’s structure and breakdown.

It can be much easier to write a dissertation if you are aware of how many words each chapter should contain. 

One of the most frequent mistakes students make when writing their dissertations is underwriting or overwriting. 

Because of this, it’s critical to establish up front the recommended word count for each chapter of the dissertation. 

Because it gives you the foundation for writing a dissertation, the format and breakdown of the number of words are as crucial to dissertation writing as a building’s plan or a map.

Each institution also has its own standards and regulations.

Your professor should provide you a dissertation writing prompt or dissertation template if you are required to write a dissertation. 

You may then create your schedule taking into account the specifics of the word count for each of the sections.

The university where you are enrolled sets the dissertation word limit, and the length of a master’s dissertation may differ from that of a doctoral dissertation or an undergraduate dissertation.

Most dissertations have a word count of between 10,000 and 15,000 words, however some can exceed 30,000 words.

This article will discuss how to format and complete your dissertation according to word count guidelines based on a 10,000 word dissertation.

What Is A Dissertation?

In comparison to essays or reports, a dissertation is a longer piece of writing that calls for more research and wider reading.

The dissertation gives you the chance to explore a subject that interests you from planning to conclusion. 

Additionally, it will provide you the chance to show off and develop particular abilities that are highly valued by both prospective companies and university admissions.

Along with critical thinking and writing skills, this also involves problem-solving and time-management abilities.

There are two main sorts of dissertations: those with primary research components, which call for you to collect your own data, and those with secondary research components, which rely on data gathered by other researchers.

You get the chance to conduct study on a subject that interests you in a dissertation.

You can get ideas from a variety of places, such as a recent news story you watched, recent advancements in your area of study, an experience at work, or a personal agenda. 

Whatever the subject, you need to make absolutely sure it will hold your interest for a long time, that you can finish it by the deadline, and that you are able to contribute something unique to your industry. 

Now you know the basics of what a dissertation is, let’s look at how to structure it in terms of the word count.

Introduction: 1000 Words

An introduction is the first major chapter of a dissertation. A dissertation’s initial chapter makes up 10% of the entire document.

The first section of the dissertation should be 1000 words long if it will be 10,000 words in length. 

You must establish your study topic, present your research questions, declare the dissertation’s aims, and give a general summary of the dissertation’s structure in these 1000 words.

Literature Review: 3000 Words

A dissertation’s literature review chapter makes up 30% of the entire document.

The dissertation’s chapter on literature review will be 3000 words long in a 10,000 word dissertation. 

You must explore the gap in the existing literature, adopt a methodological stance toward the subject, suggest potential answers to unanswered issues, and, with the aid of the new data, strengthen the body of current knowledge pertinent to the dissertation topic idea in these 3000 words.

Research Methodology: 1500 Words

A dissertation’s research technique chapter makes up 15% of the entire document.

The research technique chapter of a 10,000 word dissertation should be 1500 words long. 

You must describe the dissertation’s overall format and organization in around 1500 words, as well as examine the data in great detail and give a thorough explanation of how the research techniques were evaluated.

Results: 500 Words

A dissertation’s results or findings chapter makes up 5% of the entire document.

The conclusions or results part of a 10,000 word dissertation is 500 words long.

A student’s analysis of a dissertation’s findings must go into great detail in these 500 words.

Analysis/Discussion: 3000 Words

A dissertation’s analysis and discussion chapter makes up 30% of the entire document.

The analysis and discussion chapter of the dissertation should be 3000 words long, just like the literature review.

You must give a thorough overview of the consequences of the findings that are pertinent to the dissertation’s central issue in these 3000 words.

Conclusion And Suggestions: 1000 Words

A dissertation’s conclusions and suggestions chapter makes up 10% of the entire dissertation.

The conclusions and suggestions chapter of a 10,000 word dissertation is 1000 words long.

You must summarize your dissertation’s main ideas in these 1000 words. The dissertation’s last chapter should leave the reader with a clear comprehension of the thesis.

References Section

To prevent plagiarism, students must cite reliable sources in their writing. The references section is not usually included in the word count specified by the university. 

The amount of references is typically not capped by universities because it relies on the body of literature on a particular subject. 

You shouldn’t, however, overlook any study or research project in your field.

To support your theory and demonstrate the importance and necessity of your study topic, you must verify the most recent references. 

For the literature review chapter, you also require books, journals, research papers, and previously published pieces.

Final Thoughts

A major and extensive research project on a particular subject is the dissertation.

A dissertation is typically required of a student during his final year of study. The topic for the student’s dissertation might be chosen in accordance with his interests. 

After deciding on a topic for your dissertation, you must thoroughly research it. Working with an advisor is essential for students completing undergraduate dissertations. 

The requirements and instructions of the advisor must therefore be followed by the students as they create their dissertation, including the word count limitations. 

When you’re asked to complete a dissertation, instructions on how to do so are given. The word limit of the dissertation is mentioned in these recommendations. 

Reading your advisor’s prerequisites and guidelines and following the structure outlined above is the best way to adhere to the word count specified.

Alan Reiner

Hi, my name is Alan Reiner and I have been in the writing industry for almost seven years. I write articles that can span from 200 words all the way to 20,000 words every single day. How do I do it? With a lot of determination. All my way through school and college, I hated long-form assignments. I could never get into the groove of working on one piece for an extended period of time. My pieces were always late because I didn’t have the motivation to type them, let alone edit them.

Allusion Explained, With Examples

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Formatting Your Thesis or Dissertation with Microsoft Word

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• Headings and Subheadings
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Table of contents

If you created your headings and subheadings with styles, and numbered your pages as demonstrated in the Page Numbers tutorial, Microsoft Word can be used to automatically generate a table of contents. Automatic generation of the table of contents has 2 advantages:

• You don't have to manually type the table of contents. Since the entries in the Table of Content must match exactly the headings, subheadings, and page numbers in the thesis, manually creating a table of contents can lead to unintended errors.
• You don't have to go back and edit the table of contents if something moves from one page to another. A couple of clicks and Word will automatically update the table of contents for you.

Below is a tutorial demonstrating how to create the table of contents.

Note: You should create the table of contents last to avoid needing to update the table of contents too often.

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• Introduction

Copyright Page

Dedication, acknowledgements, preface (optional), table of contents.

• List of Tables, Figures, and Illustrations

List of Abbreviations

List of symbols.

• Non-Traditional Formats
• Font Type and Size
• Spacing and Indentation
• Tables, Figures, and Illustrations
• Formatting Previously Published Work
• Internet Distribution
• Open Access
• Registering Copyright
• Using Copyrighted Materials
• Use of Your Own Previously Published Materials
• Submission Steps
• Submission Checklist
• Sample Pages

I. Order and Components

Please see the sample thesis or dissertation pages throughout and at the end of this document for illustrations. The following order is required for components of your thesis or dissertation:

• Dedication, Acknowledgements, and Preface (each optional)
• Table of Contents, with page numbers
• List of Tables, List of Figures, or List of Illustrations, with titles and page numbers (if applicable)
• List of Abbreviations (if applicable)
• List of Symbols (if applicable)
• Introduction, if any
• Main body, with consistent subheadings as appropriate
• Appendices (if applicable)
• Endnotes (if applicable)
• References (see section on References for options)

Many of the components following the title and copyright pages have required headings and formatting guidelines, which are described in the following sections.

Please consult the Sample Pages to compare your document to the requirements. A Checklist is provided to assist you in ensuring your thesis or dissertation meets all formatting guidelines.

The title page of a thesis or dissertation must include the following information:

• The title of the thesis or dissertation in all capital letters and centered 2″ below the top of the page.
• Your name, centered 1″ below the title. Do not include titles, degrees, or identifiers. The name you use here does not need to exactly match the name on your university records, but we recommend considering how you will want your name to appear in professional publications in the future.

Notes on this statement:

• When indicating your degree in the second bracketed space, use the full degree name (i.e., Doctor of Philosophy, not Ph.D. or PHD; Master of Public Health, not M.P.H. or MPH; Master of Social Work, not M.S.W. or MSW).
• List your department, school, or curriculum rather than your subject area or specialty discipline in the third bracketed space. You may include your subject area or specialty discipline in parentheses (i.e., Department of Romance Languages (French); School of Pharmacy (Molecular Pharmaceutics); School of Education (School Psychology); or similar official area).
• If you wish to include both your department and school names, list the school at the end of the statement (i.e., Department of Pharmacology in the School of Medicine).
• A dissertation submitted to the faculty at the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Public Policy.
• A thesis submitted to the faculty at the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Master of Science in the School of Dentistry (Endodontics).
• A thesis submitted to the faculty at the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Master of Science in the Department of Nutrition in the Gillings School of Global Public Health.
• A dissertation submitted to the faculty at the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the School of Education (Cultural Studies and Literacies).
• The words “Chapel Hill” must be centered 1″ below the statement.
• One single-spaced line below that, center the year in which your committee approves the completed thesis or dissertation. This need not be the year you graduate.
• Approximately 2/3 of the way across the page on the right-hand side of the page, 1″ below the year, include the phrase “Approved by:” (with colon) followed by each faculty member's name on subsequent double-spaced lines. Do not include titles such as Professor, Doctor, Dr., PhD, or any identifiers such as “chair” or “advisor” before or after any names. Line up the first letter of each name on the left under the “A” in the “Approved by:” line. If a name is too long to fit on one line, move this entire section of text slightly to the left so that formatting can be maintained.
• No signatures, signature lines, or page numbers should be included on the title page.

Include a copyright page with the following information single-spaced and centered 2″ above the bottom of the page:

© Year Author's Full Name (as it appears on the title page) ALL RIGHTS RESERVED

This page immediately follows the title page. It should be numbered with the lower case Roman numeral ii centered with a 1/2″ margin from the bottom edge.

Inclusion of this page offers you, as the author, additional protection against copyright infringement as it eliminates any question of authorship and copyright ownership. You do not need to file for copyright in order to include this statement in your thesis or dissertation. However, filing for copyright can offer other protections.

See Section IV for more information on copyrighting your thesis or dissertation.

Include an abstract page following these guidelines:

• Include the heading “ABSTRACT” in all capital letters, and center it 2″ below the top of the page.
• One double-spaced line below “ABSTRACT”, center your name, followed by a colon and the title of the thesis or dissertation. Use as many lines as necessary. Be sure that your name and the title exactly match the name and title used on the Title page.
• One single-spaced line below the title, center the phrase “(Under the direction of [advisor's name])”. Include the phrase in parentheses. Include the first and last name(s) of your advisor or formal co-advisors. Do not include the name of other committee members. Use the advisor's name only; do not include any professional titles such as PhD, Professor, or Dr. or any identifiers such as “chair” or “advisor”.
• Skip one double-spaced line and begin the abstract. The text of your abstract must be double-spaced and aligned with the document's left margin with the exception of indenting new paragraphs. Do not center or right-justify the abstract.
• Abstracts cannot exceed 150 words for a thesis or 350 words for a dissertation.
• Number the abstract page with the lower case Roman numeral iii (and iv, if more than one page) centered with a 1/2″ margin from the bottom edge.

Please write and proofread your abstract carefully. When possible, avoid including symbols or foreign words in your abstract, as they cannot be indexed or searched. Avoid mathematical formulas, diagrams, and other illustrative materials in the abstract. Offer a brief description of your thesis or dissertation and a concise summary of its conclusions. Be sure to describe the subject and focus of your work with clear details and avoid including lengthy explanations or opinions.

Your title and abstract will be used by search engines to help potential audiences locate your work, so clarity will help to draw the attention of your targeted readers.

You have an option to include a dedication, acknowledgements, or preface. If you choose to include any or all of these elements, give each its own page(s).

A dedication is a message from the author prefixed to a work in tribute to a person, group, or cause. Most dedications are short statements of tribute beginning with “To…” such as “To my family”.

Acknowledgements are the author's statement of gratitude to and recognition of the people and institutions that helped the author's research and writing.

A preface is a statement of the author's reasons for undertaking the work and other personal comments that are not directly germane to the materials presented in other sections of the thesis or dissertation. These reasons tend to be of a personal nature.

Any of the pages must be prepared following these guidelines:

• Do not place a heading on the dedication page.
• The text of short dedications must be centered and begin 2″ from the top of the page.
• Headings are required for the “ACKNOWLEDGEMENTS” and “PREFACE” pages. Headings must be in all capital letters and centered 2″ below the top of the page.
• The text of the acknowledgements and preface pages must begin one double-spaced line below the heading, be double-spaced, and be aligned with the document's left margin with the exception of indenting new paragraphs.
• Subsequent pages of text return to the 1″ top margin.
• The page(s) must be numbered with consecutive lower case Roman numerals (starting with the page number after the abstract) centered with a 1/2″ margin from the bottom edge.

Include a table of contents following these guidelines:

• Include the heading “TABLE OF CONTENTS” in all capital letters, and center it 2″ below the top of the page.
• Include one double-spaced line between the heading and the first entry.
• The table of contents should not contain listings for the pages that precede it, but it must list all parts of the thesis or dissertation that follow it.
• If relevant, be sure to list all appendices and a references section in your table of contents. Include page numbers for these items but do not assign separate chapter numbers.
• Entries must align with the document's left margin or be indented to the right of the left page margin using consistent tabs.
• Major subheadings within chapters must be included in the table of contents. The subheading(s) should be indented to the right of the left page margin using consistent tabs.
• If an entry takes up more than one line, break up the entry about three-fourths of the way across the page and place the rest of the text on a second line, single-spacing the two lines.
• Include one double-spaced line between each entry.
• Page numbers listed in the table of contents must be located just inside the right page margin with leaders (lines of periods) filling out the space between the end of the entry and the page number. The last digit of each number must line up on the right margin.
• Information included in the table of contents must match the headings, major subheadings, and numbering used in the body of the thesis or dissertation.
• The Table of Contents page(s) must be numbered with consecutive lower case Roman numerals centered with a 1/2″ margin from the bottom edge.

Lists of Tables, Figures, and Illustrations

If applicable, include a list of tables, list of figures, and/or list of illustrations following these guidelines:

• Include the heading(s) in all capital letters, centered 1″ below the top of the page.
• Each entry must include a number, title, and page number.
• Assign each table, figure, or illustration in your thesis or dissertation an Arabic numeral. You may number consecutively throughout the entire work (e.g., Figure 1, Figure 2, etc.), or you may assign a two-part Arabic numeral with the first number designating the chapter in which it appears, separated by a period, followed by a second number to indicate its consecutive placement in the chapter (e.g., Table 3.2 is the second table in Chapter Three).
• Numerals and titles must align with the document's left margin or be indented to the right of the left page margin using consistent tabs.
• Page numbers must be located just inside the right page margin with leaders (lines of periods) filling out the space between the end of the entry and the page number. The last digit of each number must line up on the right margin.
• Numbers, titles, and page numbers must each match the corresponding numbers, titles, and page numbers appearing in the thesis or dissertation.
• All Lists of Tables, Figures, and Illustrations page(s) must be numbered with consecutive lower case Roman numerals centered with a 1/2″ margin from the bottom edge.

If you use abbreviations extensively in your thesis or dissertation, you must include a list of abbreviations and their corresponding definitions following these guidelines:

• Include the heading “LIST OF ABBREVIATIONS” in all capital letters, and center it 1″ below the top of the page.
• Arrange your abbreviations alphabetically.
• Abbreviations must align with the document's left margin or be indented to the right of the left page margin using consistent tabs.
• If an entry takes up more than one line, single-space between the two lines.
• The List of Abbreviations page(s) must be numbered with consecutive lower case Roman numerals centered with a 1/2″ margin from the bottom edge.

If you use symbols in your thesis or dissertation, you may combine them with your abbreviations, titling the section “LIST OF ABBREVIATIONS AND SYMBOLS”, or you may set up a separate list of symbols and their definitions by following the formatting instructions above for abbreviations. The heading you choose must be in all capital letters and centered 1″ below the top of the page.

Previous: Introduction

Next: Format

Frequently asked questions

How long is a dissertation.

Dissertation word counts vary widely across different fields, institutions, and levels of education:

• An undergraduate dissertation is typically 8,000–15,000 words
• A master’s dissertation is typically 12,000–50,000 words
• A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

Frequently asked questions: Knowledge Base

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research , you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

There are several reasons to conduct a literature review at the beginning of a research project:

• To familiarise yourself with the current state of knowledge on your topic
• To ensure that you’re not just repeating what others have already done
• To identify gaps in knowledge and unresolved problems that your research can address
• To develop your theoretical framework and methodology
• To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a dissertation , thesis, research paper , or proposal .

The literature review usually comes near the beginning of your  dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

Harvard referencing uses an author–date system. Sources are cited by the author’s last name and the publication year in brackets. Each Harvard in-text citation corresponds to an entry in the alphabetised reference list at the end of the paper.

Vancouver referencing uses a numerical system. Sources are cited by a number in parentheses or superscript. Each number corresponds to a full reference at the end of the paper.

A Harvard in-text citation should appear in brackets every time you quote, paraphrase, or refer to information from a source.

The citation can appear immediately after the quotation or paraphrase, or at the end of the sentence. If you’re quoting, place the citation outside of the quotation marks but before any other punctuation like a comma or full stop.

In Harvard referencing, up to three author names are included in an in-text citation or reference list entry. When there are four or more authors, include only the first, followed by ‘ et al. ’

A bibliography should always contain every source you cited in your text. Sometimes a bibliography also contains other sources that you used in your research, but did not cite in the text.

MHRA doesn’t specify a rule about this, so check with your supervisor to find out exactly what should be included in your bibliography.

Footnote numbers should appear in superscript (e.g. 11 ). You can use the ‘Insert footnote’ button in Word to do this automatically; it’s in the ‘References’ tab at the top.

Footnotes always appear after the quote or paraphrase they relate to. MHRA generally recommends placing footnote numbers at the end of the sentence, immediately after any closing punctuation, like this. 12

In situations where this might be awkward or misleading, such as a long sentence containing multiple quotations, footnotes can also be placed at the end of a clause mid-sentence, like this; 13 note that they still come after any punctuation.

When a source has two or three authors, name all of them in your MHRA references . When there are four or more, use only the first name, followed by ‘and others’:

Note that in the bibliography, only the author listed first has their name inverted. The names of additional authors and those of translators or editors are written normally.

A citation should appear wherever you use information or ideas from a source, whether by quoting or paraphrasing its content.

In Vancouver style , you have some flexibility about where the citation number appears in the sentence – usually directly after mentioning the author’s name is best, but simply placing it at the end of the sentence is an acceptable alternative, as long as it’s clear what it relates to.

In Vancouver style , when you refer to a source with multiple authors in your text, you should only name the first author followed by ‘et al.’. This applies even when there are only two authors.

In your reference list, include up to six authors. For sources with seven or more authors, list the first six followed by ‘et al.’.

The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:

• In the UK, you write a dissertation at the end of a bachelor’s or master’s degree, and you write a thesis to complete a PhD.
• In the US, it’s the other way around: you may write a thesis at the end of a bachelor’s or master’s degree, and you write a dissertation to complete a PhD.

The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.

Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).

At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.

A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.

References should be included in your text whenever you use words, ideas, or information from a source. A source can be anything from a book or journal article to a website or YouTube video.

If you don’t acknowledge your sources, you can get in trouble for plagiarism .

Your university should tell you which referencing style to follow. If you’re unsure, check with a supervisor. Commonly used styles include:

• Harvard referencing , the most commonly used style in UK universities.
• MHRA , used in humanities subjects.
• APA , used in the social sciences.
• Vancouver , used in biomedicine.
• OSCOLA , used in law.

Your university may have its own referencing style guide.

If you are allowed to choose which style to follow, we recommend Harvard referencing, as it is a straightforward and widely used style.

To avoid plagiarism , always include a reference when you use words, ideas or information from a source. This shows that you are not trying to pass the work of others off as your own.

You must also properly quote or paraphrase the source. If you’re not sure whether you’ve done this correctly, you can use the Scribbr Plagiarism Checker to find and correct any mistakes.

In Harvard style , when you quote directly from a source that includes page numbers, your in-text citation must include a page number. For example: (Smith, 2014, p. 33).

You can also include page numbers to point the reader towards a passage that you paraphrased . If you refer to the general ideas or findings of the source as a whole, you don’t need to include a page number.

When you want to use a quote but can’t access the original source, you can cite it indirectly. In the in-text citation , first mention the source you want to refer to, and then the source in which you found it. For example:

It’s advisable to avoid indirect citations wherever possible, because they suggest you don’t have full knowledge of the sources you’re citing. Only use an indirect citation if you can’t reasonably gain access to the original source.

In Harvard style referencing , to distinguish between two sources by the same author that were published in the same year, you add a different letter after the year for each source:

• (Smith, 2019a)
• (Smith, 2019b)

Add ‘a’ to the first one you cite, ‘b’ to the second, and so on. Do the same in your bibliography or reference list .

To create a hanging indent for your bibliography or reference list :

• Highlight all the entries
• Click on the arrow in the bottom-right corner of the ‘Paragraph’ tab in the top menu.
• In the pop-up window, under ‘Special’ in the ‘Indentation’ section, use the drop-down menu to select ‘Hanging’.
• Then close the window with ‘OK’.

Though the terms are sometimes used interchangeably, there is a difference in meaning:

• A reference list only includes sources cited in the text – every entry corresponds to an in-text citation .
• A bibliography also includes other sources which were consulted during the research but not cited.

It’s important to assess the reliability of information found online. Look for sources from established publications and institutions with expertise (e.g. peer-reviewed journals and government agencies).

The CRAAP test (currency, relevance, authority, accuracy, purpose) can aid you in assessing sources, as can our list of credible sources . You should generally avoid citing websites like Wikipedia that can be edited by anyone – instead, look for the original source of the information in the “References” section.

You can generally omit page numbers in your in-text citations of online sources which don’t have them. But when you quote or paraphrase a specific passage from a particularly long online source, it’s useful to find an alternate location marker.

For text-based sources, you can use paragraph numbers (e.g. ‘para. 4’) or headings (e.g. ‘under “Methodology”’). With video or audio sources, use a timestamp (e.g. ‘10:15’).

In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.

Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation .

Even if you feel your supervisor did not contribute greatly to the final product, you still should acknowledge them, if only for a very brief thank you. If you do not include your supervisor, it may be seen as a snub.

The acknowledgements are generally included at the very beginning of your thesis or dissertation, directly after the title page and before the abstract .

In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.

You may acknowledge God in your thesis or dissertation acknowledgements , but be sure to follow academic convention by also thanking the relevant members of academia, as well as family, colleagues, and friends who helped you.

All level 1 and 2 headings should be included in your table of contents . That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list .

Do not include the acknowledgements or abstract   in the table of contents.

To automatically insert a table of contents in Microsoft Word, follow these steps:

• Apply heading styles throughout the document.
• In the references section in the ribbon, locate the Table of Contents group.
• Click the arrow next to the Table of Contents icon and select Custom Table of Contents.
• Select which levels of headings you would like to include in the table of contents.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.

The table of contents in a thesis or dissertation always goes between your abstract and your introduction.

An abbreviation is a shortened version of an existing word, such as Dr for Doctor. In contrast, an acronym uses the first letter of each word to create a wholly new word, such as UNESCO (an acronym for the United Nations Educational, Scientific and Cultural Organization).

Your dissertation sometimes contains a list of abbreviations .

As a rule of thumb, write the explanation in full the first time you use an acronym or abbreviation. You can then proceed with the shortened version. However, if the abbreviation is very common (like UK or PC), then you can just use the abbreviated version straight away.

Be sure to add each abbreviation in your list of abbreviations !

If you only used a few abbreviations in your thesis or dissertation, you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimising confusion about abbreviations unfamiliar to your reader.

A list of abbreviations is a list of all the abbreviations you used in your thesis or dissertation. It should appear at the beginning of your document, immediately after your table of contents . It should always be in alphabetical order.

Fishbone diagrams have a few different names that are used interchangeably, including herringbone diagram, cause-and-effect diagram, and Ishikawa diagram.

These are all ways to refer to the same thing– a problem-solving approach that uses a fish-shaped diagram to model possible root causes of problems and troubleshoot solutions.

Fishbone diagrams (also called herringbone diagrams, cause-and-effect diagrams, and Ishikawa diagrams) are most popular in fields of quality management. They are also commonly used in nursing and healthcare, or as a brainstorming technique for students.

Some synonyms and near synonyms of among include:

• In the company of
• In the middle of
• Surrounded by

Some synonyms and near synonyms of between  include:

• In the space separating
• In the time separating

In spite of   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s always used in a subordinate clause to contrast with the information given in the main clause of a sentence (e.g., ‘Amy continued to watch TV, in spite of the time’).

Despite   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s used in a subordinate clause to contrast with information given in the main clause of a sentence (e.g., ‘Despite the stress, Joe loves his job’).

‘Log in’ is a phrasal verb meaning ‘connect to an electronic device, system, or app’. The preposition ‘to’ is often used directly after the verb; ‘in’ and ‘to’ should be written as two separate words (e.g., ‘ log in to the app to update privacy settings’).

‘Log into’ is sometimes used instead of ‘log in to’, but this is generally considered incorrect (as is ‘login to’).

Some synonyms and near synonyms of ensure include:

• Make certain

Some synonyms and near synonyms of assure  include:

Rest assured is an expression meaning ‘you can be certain’ (e.g., ‘Rest assured, I will find your cat’). ‘Assured’ is the adjectival form of the verb assure , meaning ‘convince’ or ‘persuade’.

Some synonyms and near synonyms for council include:

There are numerous synonyms and near synonyms for the two meanings of counsel :

AI writing tools can be used to perform a variety of tasks.

Generative AI writing tools (like ChatGPT ) generate text based on human inputs and can be used for interactive learning, to provide feedback, or to generate research questions or outlines.

These tools can also be used to paraphrase or summarise text or to identify grammar and punctuation mistakes. Y ou can also use Scribbr’s free paraphrasing tool , summarising tool , and grammar checker , which are designed specifically for these purposes.

Using AI writing tools (like ChatGPT ) to write your essay is usually considered plagiarism and may result in penalisation, unless it is allowed by your university. Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.

However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions ). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.

The Scribbr Knowledge Base is a collection of free resources to help you succeed in academic research, writing, and citation. Every week, we publish helpful step-by-step guides, clear examples, simple templates, engaging videos, and more.

The Knowledge Base is for students at all levels. Whether you’re writing your first essay, working on your bachelor’s or master’s dissertation, or getting to grips with your PhD research, we’ve got you covered.

As well as the Knowledge Base, Scribbr provides many other tools and services to support you in academic writing and citation:

• Create your citations and manage your reference list with our free Reference Generators in APA and MLA style.
• Scan your paper for in-text citation errors and inconsistencies with our innovative APA Citation Checker .
• Avoid accidental plagiarism with our reliable Plagiarism Checker .
• Polish your writing and get feedback on structure and clarity with our Proofreading & Editing services .

Yes! We’re happy for educators to use our content, and we’ve even adapted some of our articles into ready-made lecture slides .

You are free to display, distribute, and adapt Scribbr materials in your classes or upload them in private learning environments like Blackboard. We only ask that you credit Scribbr for any content you use.

We’re always striving to improve the Knowledge Base. If you have an idea for a topic we should cover, or you notice a mistake in any of our articles, let us know by emailing [email protected] .

The consequences of plagiarism vary depending on the type of plagiarism and the context in which it occurs. For example, submitting a whole paper by someone else will have the most severe consequences, while accidental citation errors are considered less serious.

If you’re a student, then you might fail the course, be suspended or expelled, or be obligated to attend a workshop on plagiarism. It depends on whether it’s your first offence or you’ve done it before.

As an academic or professional, plagiarising seriously damages your reputation. You might also lose your research funding or your job, and you could even face legal consequences for copyright infringement.

Paraphrasing without crediting the original author is a form of plagiarism , because you’re presenting someone else’s ideas as if they were your own.

However, paraphrasing is not plagiarism if you correctly reference the source . This means including an in-text referencing and a full reference , formatted according to your required citation style (e.g., Harvard , Vancouver ).

As well as referencing your source, make sure that any paraphrased text is completely rewritten in your own words.

Accidental plagiarism is one of the most common examples of plagiarism . Perhaps you forgot to cite a source, or paraphrased something a bit too closely. Maybe you can’t remember where you got an idea from, and aren’t totally sure if it’s original or not.

These all count as plagiarism, even though you didn’t do it on purpose. When in doubt, make sure you’re citing your sources . Also consider running your work through a plagiarism checker tool prior to submission, which work by using advanced database software to scan for matches between your text and existing texts.

Scribbr’s Plagiarism Checker takes less than 10 minutes and can help you turn in your paper with confidence.

The accuracy depends on the plagiarism checker you use. Per our in-depth research , Scribbr is the most accurate plagiarism checker. Many free plagiarism checkers fail to detect all plagiarism or falsely flag text as plagiarism.

Plagiarism checkers work by using advanced database software to scan for matches between your text and existing texts. Their accuracy is determined by two factors: the algorithm (which recognises the plagiarism) and the size of the database (with which your document is compared).

To avoid plagiarism when summarising an article or other source, follow these two rules:

• Write the summary entirely in your own words by   paraphrasing the author’s ideas.
• Reference the source with an in-text citation and a full reference so your reader can easily find the original text.

Plagiarism can be detected by your professor or readers if the tone, formatting, or style of your text is different in different parts of your paper, or if they’re familiar with the plagiarised source.

Many universities also use   plagiarism detection software like Turnitin’s, which compares your text to a large database of other sources, flagging any similarities that come up.

It can be easier than you think to commit plagiarism by accident. Consider using a   plagiarism checker prior to submitting your essay to ensure you haven’t missed any citations.

Some examples of plagiarism include:

• Copying and pasting a Wikipedia article into the body of an assignment
• Quoting a source without including a citation
• Not paraphrasing a source properly (e.g. maintaining wording too close to the original)
• Forgetting to cite the source of an idea

The most surefire way to   avoid plagiarism is to always cite your sources . When in doubt, cite!

Global plagiarism means taking an entire work written by someone else and passing it off as your own. This can include getting someone else to write an essay or assignment for you, or submitting a text you found online as your own work.

Global plagiarism is one of the most serious types of plagiarism because it involves deliberately and directly lying about the authorship of a work. It can have severe consequences for students and professionals alike.

Verbatim plagiarism means copying text from a source and pasting it directly into your own document without giving proper credit.

If the structure and the majority of the words are the same as in the original source, then you are committing verbatim plagiarism. This is the case even if you delete a few words or replace them with synonyms.

If you want to use an author’s exact words, you need to quote the original source by putting the copied text in quotation marks and including an   in-text citation .

Patchwork plagiarism , also called mosaic plagiarism, means copying phrases, passages, or ideas from various existing sources and combining them to create a new text. This includes slightly rephrasing some of the content, while keeping many of the same words and the same structure as the original.

While this type of plagiarism is more insidious than simply copying and pasting directly from a source, plagiarism checkers like Turnitin’s can still easily detect it.

To avoid plagiarism in any form, remember to reference your sources .

Yes, reusing your own work without citation is considered self-plagiarism . This can range from resubmitting an entire assignment to reusing passages or data from something you’ve handed in previously.

Self-plagiarism often has the same consequences as other types of plagiarism . If you want to reuse content you wrote in the past, make sure to check your university’s policy or consult your professor.

If you are reusing content or data you used in a previous assignment, make sure to cite yourself. You can cite yourself the same way you would cite any other source: simply follow the directions for the citation style you are using.

Keep in mind that reusing prior content can be considered self-plagiarism , so make sure you ask your instructor or consult your university’s handbook prior to doing so.

Most institutions have an internal database of previously submitted student assignments. Turnitin can check for self-plagiarism by comparing your paper against this database. If you’ve reused parts of an assignment you already submitted, it will flag any similarities as potential plagiarism.

Online plagiarism checkers don’t have access to your institution’s database, so they can’t detect self-plagiarism of unpublished work. If you’re worried about accidentally self-plagiarising, you can use Scribbr’s Self-Plagiarism Checker to upload your unpublished documents and check them for similarities.

Plagiarism has serious consequences and can be illegal in certain scenarios.

While most of the time plagiarism in an undergraduate setting is not illegal, plagiarism or self-plagiarism in a professional academic setting can lead to legal action, including copyright infringement and fraud. Many scholarly journals do not allow you to submit the same work to more than one journal, and if you do not credit a coauthor, you could be legally defrauding them.

Even if you aren’t breaking the law, plagiarism can seriously impact your academic career. While the exact consequences of plagiarism vary by institution and severity, common consequences include a lower grade, automatically failing a course, academic suspension or probation, and even expulsion.

Self-plagiarism means recycling work that you’ve previously published or submitted as an assignment. It’s considered academic dishonesty to present something as brand new when you’ve already gotten credit and perhaps feedback for it in the past.

If you want to refer to ideas or data from previous work, be sure to cite yourself.

Academic integrity means being honest, ethical, and thorough in your academic work. To maintain academic integrity, you should avoid misleading your readers about any part of your research and refrain from offences like plagiarism and contract cheating, which are examples of academic misconduct.

Academic dishonesty refers to deceitful or misleading behavior in an academic setting. Academic dishonesty can occur intentionally or unintentionally, and it varies in severity.

It can encompass paying for a pre-written essay, cheating on an exam, or committing plagiarism . It can also include helping others cheat, copying a friend’s homework answers, or even pretending to be sick to miss an exam.

Academic dishonesty doesn’t just occur in a classroom setting, but also in research and other academic-adjacent fields.

Consequences of academic dishonesty depend on the severity of the offence and your institution’s policy. They can range from a warning for a first offence to a failing grade in a course to expulsion from your university.

For those in certain fields, such as nursing, engineering, or lab sciences, not learning fundamentals properly can directly impact the health and safety of others. For those working in academia or research, academic dishonesty impacts your professional reputation, leading others to doubt your future work.

Academic dishonesty can be intentional or unintentional, ranging from something as simple as claiming to have read something you didn’t to copying your neighbour’s answers on an exam.

You can commit academic dishonesty with the best of intentions, such as helping a friend cheat on a paper. Severe academic dishonesty can include buying a pre-written essay or the answers to a multiple-choice test, or falsifying a medical emergency to avoid taking a final exam.

Plagiarism means presenting someone else’s work as your own without giving proper credit to the original author. In academic writing, plagiarism involves using words, ideas, or information from a source without including a citation .

Plagiarism can have serious consequences , even when it’s done accidentally. To avoid plagiarism, it’s important to keep track of your sources and cite them correctly.

Common knowledge does not need to be cited. However, you should be extra careful when deciding what counts as common knowledge.

Common knowledge encompasses information that the average educated reader would accept as true without needing the extra validation of a source or citation.

Common knowledge should be widely known, undisputed, and easily verified. When in doubt, always cite your sources.

Most online plagiarism checkers only have access to public databases, whose software doesn’t allow you to compare two documents for plagiarism.

However, in addition to our Plagiarism Checker , Scribbr also offers an Self-Plagiarism Checker . This is an add-on tool that lets you compare your paper with unpublished or private documents. This way you can rest assured that you haven’t unintentionally plagiarised or self-plagiarised .

Compare two sources for plagiarism

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
• If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organisations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organise your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

There are five common approaches to qualitative research :

• Grounded theory involves collecting data in order to develop new theories.
• Ethnography involves immersing yourself in a group or organisation to understand its culture.
• Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
• Phenomenological research involves investigating phenomena through people’s lived experiences.
• Action research links theory and practice in several cycles to drive innovative changes.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

Triangulation in research means using multiple datasets, methods, theories and/or investigators to address a research question. It’s a research strategy that can help you enhance the validity and credibility of your findings.

Triangulation is mainly used in qualitative research , but it’s also commonly applied in quantitative research . Mixed methods research always uses triangulation.

These are four of the most common mixed methods designs :

• Convergent parallel: Quantitative and qualitative data are collected at the same time and analysed separately. After both analyses are complete, compare your results to draw overall conclusions. 
• Embedded: Quantitative and qualitative data are collected at the same time, but within a larger quantitative or qualitative design. One type of data is secondary to the other.
• Explanatory sequential: Quantitative data is collected and analysed first, followed by qualitative data. You can use this design if you think your qualitative data will explain and contextualise your quantitative findings.
• Exploratory sequential: Qualitative data is collected and analysed first, followed by quantitative data. You can use this design if you think the quantitative data will confirm or validate your qualitative findings.

An observational study could be a good fit for your research if your research question is based on things you observe. If you have ethical, logistical, or practical concerns that make an experimental design challenging, consider an observational study. Remember that in an observational study, it is critical that there be no interference or manipulation of the research subjects. Since it’s not an experiment, there are no control or treatment groups either.

The key difference between observational studies and experiments is that, done correctly, an observational study will never influence the responses or behaviours of participants. Experimental designs will have a treatment condition applied to at least a portion of participants.

Exploratory research explores the main aspects of a new or barely researched question.

Explanatory research explains the causes and effects of an already widely researched question.

Experimental designs are a set of procedures that you plan in order to examine the relationship between variables that interest you.

To design a successful experiment, first identify:

• A testable hypothesis
• One or more independent variables that you will manipulate
• One or more dependent variables that you will measure

When designing the experiment, first decide:

• How your variable(s) will be manipulated
• How you will control for any potential confounding or lurking variables
• How many subjects you will include
• How you will assign treatments to your subjects

There are four main types of triangulation :

• Data triangulation : Using data from different times, spaces, and people
• Investigator triangulation : Involving multiple researchers in collecting or analysing data
• Theory triangulation : Using varying theoretical perspectives in your research
• Methodological triangulation : Using different methodologies to approach the same topic

Triangulation can help:

• Reduce bias that comes from using a single method, theory, or investigator
• Enhance validity by approaching the same topic with different tools
• Establish credibility by giving you a complete picture of the research problem

But triangulation can also pose problems:

• It’s time-consuming and labour-intensive, often involving an interdisciplinary team.
• Your results may be inconsistent or even contradictory.

A confounding variable , also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design , it’s important to identify potential confounding variables and plan how you will reduce their impact.

In a between-subjects design , every participant experiences only one condition, and researchers assess group differences between participants in various conditions.

In a within-subjects design , each participant experiences all conditions, and researchers test the same participants repeatedly for differences between conditions.

The word ‘between’ means that you’re comparing different conditions between groups, while the word ‘within’ means you’re comparing different conditions within the same group.

A quasi-experiment is a type of research design that attempts to establish a cause-and-effect relationship. The main difference between this and a true experiment is that the groups are not randomly assigned.

In experimental research, random assignment is a way of placing participants from your sample into different groups using randomisation. With this method, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

Quasi-experimental design is most useful in situations where it would be unethical or impractical to run a true experiment .

Quasi-experiments have lower internal validity than true experiments, but they often have higher external validity  as they can use real-world interventions instead of artificial laboratory settings.

Within-subjects designs have many potential threats to internal validity , but they are also very statistically powerful .

Advantages:

• Only requires small samples
• Statistically powerful
• Removes the effects of individual differences on the outcomes

Disadvantages:

• Internal validity threats reduce the likelihood of establishing a direct relationship between variables
• Time-related effects, such as growth, can influence the outcomes
• Carryover effects mean that the specific order of different treatments affect the outcomes

Yes. Between-subjects and within-subjects designs can be combined in a single study when you have two or more independent variables (a factorial design). In a mixed factorial design, one variable is altered between subjects and another is altered within subjects.

In a factorial design, multiple independent variables are tested.

If you test two variables, each level of one independent variable is combined with each level of the other independent variable to create different conditions.

While a between-subjects design has fewer threats to internal validity , it also requires more participants for high statistical power than a within-subjects design .

• Prevents carryover effects of learning and fatigue.
• Shorter study duration.
• Needs larger samples for high power.
• Uses more resources to recruit participants, administer sessions, cover costs, etc.
• Individual differences may be an alternative explanation for results.

Samples are used to make inferences about populations . Samples are easier to collect data from because they are practical, cost-effective, convenient, and manageable.

Probability sampling means that every member of the target population has a known chance of being included in the sample.

Probability sampling methods include simple random sampling , systematic sampling , stratified sampling , and cluster sampling .

In non-probability sampling , the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.

Common non-probability sampling methods include convenience sampling , voluntary response sampling, purposive sampling , snowball sampling , and quota sampling .

In multistage sampling , or multistage cluster sampling, you draw a sample from a population using smaller and smaller groups at each stage.

This method is often used to collect data from a large, geographically spread group of people in national surveys, for example. You take advantage of hierarchical groupings (e.g., from county to city to neighbourhood) to create a sample that’s less expensive and time-consuming to collect data from.

Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others.

Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population . Each member of the population has an equal chance of being selected. Data are then collected from as large a percentage as possible of this random subset.

The American Community Survey  is an example of simple random sampling . In order to collect detailed data on the population of the US, the Census Bureau officials randomly select 3.5 million households per year and use a variety of methods to convince them to fill out the survey.

If properly implemented, simple random sampling is usually the best sampling method for ensuring both internal and external validity . However, it can sometimes be impractical and expensive to implement, depending on the size of the population to be studied,

If you have a list of every member of the population and the ability to reach whichever members are selected, you can use simple random sampling.

Cluster sampling is more time- and cost-efficient than other probability sampling methods , particularly when it comes to large samples spread across a wide geographical area.

However, it provides less statistical certainty than other methods, such as simple random sampling , because it is difficult to ensure that your clusters properly represent the population as a whole.

There are three types of cluster sampling : single-stage, double-stage and multi-stage clustering. In all three types, you first divide the population into clusters, then randomly select clusters for use in your sample.

• In single-stage sampling , you collect data from every unit within the selected clusters.
• In double-stage sampling , you select a random sample of units from within the clusters.
• In multi-stage sampling , you repeat the procedure of randomly sampling elements from within the clusters until you have reached a manageable sample.

Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.

The clusters should ideally each be mini-representations of the population as a whole.

In multistage sampling , you can use probability or non-probability sampling methods.

For a probability sample, you have to probability sampling at every stage. You can mix it up by using simple random sampling , systematic sampling , or stratified sampling to select units at different stages, depending on what is applicable and relevant to your study.

Multistage sampling can simplify data collection when you have large, geographically spread samples, and you can obtain a probability sample without a complete sampling frame.

But multistage sampling may not lead to a representative sample, and larger samples are needed for multistage samples to achieve the statistical properties of simple random samples .

In stratified sampling , researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment).

Once divided, each subgroup is randomly sampled using another probability sampling method .

You should use stratified sampling when your sample can be divided into mutually exclusive and exhaustive subgroups that you believe will take on different mean values for the variable that you’re studying.

Using stratified sampling will allow you to obtain more precise (with lower variance ) statistical estimates of whatever you are trying to measure.

For example, say you want to investigate how income differs based on educational attainment, but you know that this relationship can vary based on race. Using stratified sampling, you can ensure you obtain a large enough sample from each racial group, allowing you to draw more precise conclusions.

Yes, you can create a stratified sample using multiple characteristics, but you must ensure that every participant in your study belongs to one and only one subgroup. In this case, you multiply the numbers of subgroups for each characteristic to get the total number of groups.

For example, if you were stratifying by location with three subgroups (urban, rural, or suburban) and marital status with five subgroups (single, divorced, widowed, married, or partnered), you would have 3 × 5 = 15 subgroups.

There are three key steps in systematic sampling :

• Define and list your population , ensuring that it is not ordered in a cyclical or periodic order.
• Decide on your sample size and calculate your interval, k , by dividing your population by your target sample size.
• Choose every k th member of the population as your sample.

Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling .

Populations are used when a research question requires data from every member of the population. This is usually only feasible when the population is small and easily accessible.

A statistic refers to measures about the sample , while a parameter refers to measures about the population .

A sampling error is the difference between a population parameter and a sample statistic .

There are eight threats to internal validity : history, maturation, instrumentation, testing, selection bias , regression to the mean, social interaction, and attrition .

Internal validity is the extent to which you can be confident that a cause-and-effect relationship established in a study cannot be explained by other factors.

Attrition bias is a threat to internal validity . In experiments, differential rates of attrition between treatment and control groups can skew results.

This bias can affect the relationship between your independent and dependent variables . It can make variables appear to be correlated when they are not, or vice versa.

The external validity of a study is the extent to which you can generalise your findings to different groups of people, situations, and measures.

The two types of external validity are population validity (whether you can generalise to other groups of people) and ecological validity (whether you can generalise to other situations and settings).

There are seven threats to external validity : selection bias , history, experimenter effect, Hawthorne effect , testing effect, aptitude-treatment, and situation effect.

Attrition bias can skew your sample so that your final sample differs significantly from your original sample. Your sample is biased because some groups from your population are underrepresented.

With a biased final sample, you may not be able to generalise your findings to the original population that you sampled from, so your external validity is compromised.

Construct validity is about how well a test measures the concept it was designed to evaluate. It’s one of four types of measurement validity , which includes construct validity, face validity , and criterion validity.

There are two subtypes of construct validity.

• Convergent validity : The extent to which your measure corresponds to measures of related constructs
• Discriminant validity: The extent to which your measure is unrelated or negatively related to measures of distinct constructs

When designing or evaluating a measure, construct validity helps you ensure you’re actually measuring the construct you’re interested in. If you don’t have construct validity, you may inadvertently measure unrelated or distinct constructs and lose precision in your research.

Construct validity is often considered the overarching type of measurement validity ,  because it covers all of the other types. You need to have face validity , content validity, and criterion validity to achieve construct validity.

Statistical analyses are often applied to test validity with data from your measures. You test convergent validity and discriminant validity with correlations to see if results from your test are positively or negatively related to those of other established tests.

You can also use regression analyses to assess whether your measure is actually predictive of outcomes that you expect it to predict theoretically. A regression analysis that supports your expectations strengthens your claim of construct validity .

Face validity is about whether a test appears to measure what it’s supposed to measure. This type of validity is concerned with whether a measure seems relevant and appropriate for what it’s assessing only on the surface.

Face validity is important because it’s a simple first step to measuring the overall validity of a test or technique. It’s a relatively intuitive, quick, and easy way to start checking whether a new measure seems useful at first glance.

Good face validity means that anyone who reviews your measure says that it seems to be measuring what it’s supposed to. With poor face validity, someone reviewing your measure may be left confused about what you’re measuring and why you’re using this method.

It’s often best to ask a variety of people to review your measurements. You can ask experts, such as other researchers, or laypeople, such as potential participants, to judge the face validity of tests.

While experts have a deep understanding of research methods , the people you’re studying can provide you with valuable insights you may have missed otherwise.

There are many different types of inductive reasoning that people use formally or informally.

Here are a few common types:

• Inductive generalisation : You use observations about a sample to come to a conclusion about the population it came from.
• Statistical generalisation: You use specific numbers about samples to make statements about populations.
• Causal reasoning: You make cause-and-effect links between different things.
• Sign reasoning: You make a conclusion about a correlational relationship between different things.
• Analogical reasoning: You make a conclusion about something based on its similarities to something else.

Inductive reasoning is a bottom-up approach, while deductive reasoning is top-down.

Inductive reasoning takes you from the specific to the general, while in deductive reasoning, you make inferences by going from general premises to specific conclusions.

In inductive research , you start by making observations or gathering data. Then, you take a broad scan of your data and search for patterns. Finally, you make general conclusions that you might incorporate into theories.

Inductive reasoning is a method of drawing conclusions by going from the specific to the general. It’s usually contrasted with deductive reasoning, where you proceed from general information to specific conclusions.

Inductive reasoning is also called inductive logic or bottom-up reasoning.

Deductive reasoning is a logical approach where you progress from general ideas to specific conclusions. It’s often contrasted with inductive reasoning , where you start with specific observations and form general conclusions.

Deductive reasoning is also called deductive logic.

Deductive reasoning is commonly used in scientific research, and it’s especially associated with quantitative research .

In research, you might have come across something called the hypothetico-deductive method . It’s the scientific method of testing hypotheses to check whether your predictions are substantiated by real-world data.

A dependent variable is what changes as a result of the independent variable manipulation in experiments . It’s what you’re interested in measuring, and it ‘depends’ on your independent variable.

In statistics, dependent variables are also called:

• Response variables (they respond to a change in another variable)
• Outcome variables (they represent the outcome you want to measure)
• Left-hand-side variables (they appear on the left-hand side of a regression equation)

An independent variable is the variable you manipulate, control, or vary in an experimental study to explore its effects. It’s called ‘independent’ because it’s not influenced by any other variables in the study.

Independent variables are also called:

• Explanatory variables (they explain an event or outcome)
• Predictor variables (they can be used to predict the value of a dependent variable)
• Right-hand-side variables (they appear on the right-hand side of a regression equation)

A correlation is usually tested for two variables at a time, but you can test correlations between three or more variables.

On graphs, the explanatory variable is conventionally placed on the x -axis, while the response variable is placed on the y -axis.

• If you have quantitative variables , use a scatterplot or a line graph.
• If your response variable is categorical, use a scatterplot or a line graph.
• If your explanatory variable is categorical, use a bar graph.

The term ‘ explanatory variable ‘ is sometimes preferred over ‘ independent variable ‘ because, in real-world contexts, independent variables are often influenced by other variables. This means they aren’t totally independent.

Multiple independent variables may also be correlated with each other, so ‘explanatory variables’ is a more appropriate term.

The difference between explanatory and response variables is simple:

• An explanatory variable is the expected cause, and it explains the results.
• A response variable is the expected effect, and it responds to other variables.

There are 4 main types of extraneous variables :

• Demand characteristics : Environmental cues that encourage participants to conform to researchers’ expectations
• Experimenter effects : Unintentional actions by researchers that influence study outcomes
• Situational variables : Eenvironmental variables that alter participants’ behaviours
• Participant variables : Any characteristic or aspect of a participant’s background that could affect study results

An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study.

A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.

‘Controlling for a variable’ means measuring extraneous variables and accounting for them statistically to remove their effects on other variables.

Researchers often model control variable data along with independent and dependent variable data in regression analyses and ANCOVAs . That way, you can isolate the control variable’s effects from the relationship between the variables of interest.

Control variables help you establish a correlational or causal relationship between variables by enhancing internal validity .

If you don’t control relevant extraneous variables , they may influence the outcomes of your study, and you may not be able to demonstrate that your results are really an effect of your independent variable .

A control variable is any variable that’s held constant in a research study. It’s not a variable of interest in the study, but it’s controlled because it could influence the outcomes.

In statistics, ordinal and nominal variables are both considered categorical variables .

Even though ordinal data can sometimes be numerical, not all mathematical operations can be performed on them.

In scientific research, concepts are the abstract ideas or phenomena that are being studied (e.g., educational achievement). Variables are properties or characteristics of the concept (e.g., performance at school), while indicators are ways of measuring or quantifying variables (e.g., yearly grade reports).

The process of turning abstract concepts into measurable variables and indicators is called operationalisation .

There are several methods you can use to decrease the impact of confounding variables on your research: restriction, matching, statistical control, and randomisation.

In restriction , you restrict your sample by only including certain subjects that have the same values of potential confounding variables.

In matching , you match each of the subjects in your treatment group with a counterpart in the comparison group. The matched subjects have the same values on any potential confounding variables, and only differ in the independent variable .

In statistical control , you include potential confounders as variables in your regression .

In randomisation , you randomly assign the treatment (or independent variable) in your study to a sufficiently large number of subjects, which allows you to control for all potential confounding variables.

A confounding variable is closely related to both the independent and dependent variables in a study. An independent variable represents the supposed cause , while the dependent variable is the supposed effect . A confounding variable is a third variable that influences both the independent and dependent variables.

Failing to account for confounding variables can cause you to wrongly estimate the relationship between your independent and dependent variables.

To ensure the internal validity of your research, you must consider the impact of confounding variables. If you fail to account for them, you might over- or underestimate the causal relationship between your independent and dependent variables , or even find a causal relationship where none exists.

Yes, but including more than one of either type requires multiple research questions .

For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more. Each of these is its own dependent variable with its own research question.

You could also choose to look at the effect of exercise levels as well as diet, or even the additional effect of the two combined. Each of these is a separate independent variable .

To ensure the internal validity of an experiment , you should only change one independent variable at a time.

No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both.

You want to find out how blood sugar levels are affected by drinking diet cola and regular cola, so you conduct an experiment .

• The type of cola – diet or regular – is the independent variable .
• The level of blood sugar that you measure is the dependent variable – it changes depending on the type of cola.

Determining cause and effect is one of the most important parts of scientific research. It’s essential to know which is the cause – the independent variable – and which is the effect – the dependent variable.

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age).

Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

You need to know what type of variables you are working with to choose the right statistical test for your data and interpret your results .

Discrete and continuous variables are two types of quantitative variables :

• Discrete variables represent counts (e.g., the number of objects in a collection).
• Continuous variables represent measurable amounts (e.g., water volume or weight).

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause , while a dependent variable is the effect .

In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable. For example, in an experiment about the effect of nutrients on crop growth:

• The  independent variable  is the amount of nutrients added to the crop field.
• The  dependent variable is the biomass of the crops at harvest time.

Defining your variables, and deciding how you will manipulate and measure them, is an important part of experimental design .

Including mediators and moderators in your research helps you go beyond studying a simple relationship between two variables for a fuller picture of the real world. They are important to consider when studying complex correlational or causal relationships.

Mediators are part of the causal pathway of an effect, and they tell you how or why an effect takes place. Moderators usually help you judge the external validity of your study by identifying the limitations of when the relationship between variables holds.

If something is a mediating variable :

• It’s caused by the independent variable
• It influences the dependent variable
• When it’s taken into account, the statistical correlation between the independent and dependent variables is higher than when it isn’t considered

A confounder is a third variable that affects variables of interest and makes them seem related when they are not. In contrast, a mediator is the mechanism of a relationship between two variables: it explains the process by which they are related.

A mediator variable explains the process through which two variables are related, while a moderator variable affects the strength and direction of that relationship.

When conducting research, collecting original data has significant advantages:

• You can tailor data collection to your specific research aims (e.g., understanding the needs of your consumers or user testing your website).
• You can control and standardise the process for high reliability and validity (e.g., choosing appropriate measurements and sampling methods ).

However, there are also some drawbacks: data collection can be time-consuming, labour-intensive, and expensive. In some cases, it’s more efficient to use secondary data that has already been collected by someone else, but the data might be less reliable.

A structured interview is a data collection method that relies on asking questions in a set order to collect data on a topic. They are often quantitative in nature. Structured interviews are best used when:

• You already have a very clear understanding of your topic. Perhaps significant research has already been conducted, or you have done some prior research yourself, but you already possess a baseline for designing strong structured questions.
• You are constrained in terms of time or resources and need to analyse your data quickly and efficiently
• Your research question depends on strong parity between participants, with environmental conditions held constant

More flexible interview options include semi-structured interviews , unstructured interviews , and focus groups .

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

A semi-structured interview is a blend of structured and unstructured types of interviews. Semi-structured interviews are best used when:

• You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uncomfortable.
• Your research question is exploratory in nature. Participant answers can guide future research questions and help you develop a more robust knowledge base for future research.

An unstructured interview is the most flexible type of interview, but it is not always the best fit for your research topic.

Unstructured interviews are best used when:

• You are an experienced interviewer and have a very strong background in your research topic, since it is challenging to ask spontaneous, colloquial questions
• Your research question is exploratory in nature. While you may have developed hypotheses, you are open to discovering new or shifting viewpoints through the interview process.
• You are seeking descriptive data, and are ready to ask questions that will deepen and contextualise your initial thoughts and hypotheses
• Your research depends on forming connections with your participants and making them feel comfortable revealing deeper emotions, lived experiences, or thoughts

The four most common types of interviews are:

• Structured interviews : The questions are predetermined in both topic and order.
• Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.
• Unstructured interviews : None of the questions are predetermined.
• Focus group interviews : The questions are presented to a group instead of one individual.

A focus group is a research method that brings together a small group of people to answer questions in a moderated setting. The group is chosen due to predefined demographic traits, and the questions are designed to shed light on a topic of interest. It is one of four types of interviews .

Social desirability bias is the tendency for interview participants to give responses that will be viewed favourably by the interviewer or other participants. It occurs in all types of interviews and surveys , but is most common in semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias can be mitigated by ensuring participants feel at ease and comfortable sharing their views. Make sure to pay attention to your own body language and any physical or verbal cues, such as nodding or widening your eyes.

This type of bias in research can also occur in observations if the participants know they’re being observed. They might alter their behaviour accordingly.

As a rule of thumb, questions related to thoughts, beliefs, and feelings work well in focus groups . Take your time formulating strong questions, paying special attention to phrasing. Be careful to avoid leading questions , which can bias your responses.

Overall, your focus group questions should be:

• Open-ended and flexible
• Impossible to answer with ‘yes’ or ‘no’ (questions that start with ‘why’ or ‘how’ are often best)
• Unambiguous, getting straight to the point while still stimulating discussion
• Unbiased and neutral

The third variable and directionality problems are two main reasons why correlation isn’t causation .

The third variable problem means that a confounding variable affects both variables to make them seem causally related when they are not.

The directionality problem is when two variables correlate and might actually have a causal relationship, but it’s impossible to conclude which variable causes changes in the other.

Controlled experiments establish causality, whereas correlational studies only show associations between variables.

• In an experimental design , you manipulate an independent variable and measure its effect on a dependent variable. Other variables are controlled so they can’t impact the results.
• In a correlational design , you measure variables without manipulating any of them. You can test whether your variables change together, but you can’t be sure that one variable caused a change in another.

In general, correlational research is high in external validity while experimental research is high in internal validity .

A correlation coefficient is a single number that describes the strength and direction of the relationship between your variables.

Different types of correlation coefficients might be appropriate for your data based on their levels of measurement and distributions . The Pearson product-moment correlation coefficient (Pearson’s r ) is commonly used to assess a linear relationship between two quantitative variables.

A correlational research design investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them. It’s a non-experimental type of quantitative research .

A correlation reflects the strength and/or direction of the association between two or more variables.

• A positive correlation means that both variables change in the same direction.
• A negative correlation means that the variables change in opposite directions.
• A zero correlation means there’s no relationship between the variables.

Longitudinal studies can last anywhere from weeks to decades, although they tend to be at least a year long.

The 1970 British Cohort Study , which has collected data on the lives of 17,000 Brits since their births in 1970, is one well-known example of a longitudinal study .

Longitudinal studies are better to establish the correct sequence of events, identify changes over time, and provide insight into cause-and-effect relationships, but they also tend to be more expensive and time-consuming than other types of studies.

Longitudinal studies and cross-sectional studies are two different types of research design . In a cross-sectional study you collect data from a population at a specific point in time; in a longitudinal study you repeatedly collect data from the same sample over an extended period of time.

Cross-sectional studies cannot establish a cause-and-effect relationship or analyse behaviour over a period of time. To investigate cause and effect, you need to do a longitudinal study or an experimental study .

Cross-sectional studies are less expensive and time-consuming than many other types of study. They can provide useful insights into a population’s characteristics and identify correlations for further research.

Sometimes only cross-sectional data are available for analysis; other times your research question may only require a cross-sectional study to answer it.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess. It should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyse your data.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviours. It is made up of four or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with five or seven possible responses, to capture their degree of agreement.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analysing data from people using questionnaires.

A true experiment (aka a controlled experiment) always includes at least one control group that doesn’t receive the experimental treatment.

However, some experiments use a within-subjects design to test treatments without a control group. In these designs, you usually compare one group’s outcomes before and after a treatment (instead of comparing outcomes between different groups).

For strong internal validity , it’s usually best to include a control group if possible. Without a control group, it’s harder to be certain that the outcome was caused by the experimental treatment and not by other variables.

An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas a control group does not. They should be identical in all other ways.

In a controlled experiment , all extraneous variables are held constant so that they can’t influence the results. Controlled experiments require:

• A control group that receives a standard treatment, a fake treatment, or no treatment
• Random assignment of participants to ensure the groups are equivalent

Depending on your study topic, there are various other methods of controlling variables .

Questionnaires can be self-administered or researcher-administered.

Self-administered questionnaires can be delivered online or in paper-and-pen formats, in person or by post. All questions are standardised so that all respondents receive the same questions with identical wording.

Researcher-administered questionnaires are interviews that take place by phone, in person, or online between researchers and respondents. You can gain deeper insights by clarifying questions for respondents or asking follow-up questions.

You can organise the questions logically, with a clear progression from simple to complex, or randomly between respondents. A logical flow helps respondents process the questionnaire easier and quicker, but it may lead to bias. Randomisation can minimise the bias from order effects.

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. These questions are easier to answer quickly.

Open-ended or long-form questions allow respondents to answer in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered.

Naturalistic observation is a qualitative research method where you record the behaviours of your research subjects in real-world settings. You avoid interfering or influencing anything in a naturalistic observation.

You can think of naturalistic observation as ‘people watching’ with a purpose.

Naturalistic observation is a valuable tool because of its flexibility, external validity , and suitability for topics that can’t be studied in a lab setting.

The downsides of naturalistic observation include its lack of scientific control , ethical considerations , and potential for bias from observers and subjects.

You can use several tactics to minimise observer bias .

• Use masking (blinding) to hide the purpose of your study from all observers.
• Triangulate your data with different data collection methods or sources.
• Use multiple observers and ensure inter-rater reliability.
• Train your observers to make sure data is consistently recorded between them.
• Standardise your observation procedures to make sure they are structured and clear.

The observer-expectancy effect occurs when researchers influence the results of their own study through interactions with participants.

Researchers’ own beliefs and expectations about the study results may unintentionally influence participants through demand characteristics .

Observer bias occurs when a researcher’s expectations, opinions, or prejudices influence what they perceive or record in a study. It usually affects studies when observers are aware of the research aims or hypotheses. This type of research bias is also called detection bias or ascertainment bias .

Data cleaning is necessary for valid and appropriate analyses. Dirty data contain inconsistencies or errors , but cleaning your data helps you minimise or resolve these.

Without data cleaning, you could end up with a Type I or II error in your conclusion. These types of erroneous conclusions can be practically significant with important consequences, because they lead to misplaced investments or missed opportunities.

Data cleaning involves spotting and resolving potential data inconsistencies or errors to improve your data quality. An error is any value (e.g., recorded weight) that doesn’t reflect the true value (e.g., actual weight) of something that’s being measured.

In this process, you review, analyse, detect, modify, or remove ‘dirty’ data to make your dataset ‘clean’. Data cleaning is also called data cleansing or data scrubbing.

Data cleaning takes place between data collection and data analyses. But you can use some methods even before collecting data.

For clean data, you should start by designing measures that collect valid data. Data validation at the time of data entry or collection helps you minimize the amount of data cleaning you’ll need to do.

After data collection, you can use data standardisation and data transformation to clean your data. You’ll also deal with any missing values, outliers, and duplicate values.

Clean data are valid, accurate, complete, consistent, unique, and uniform. Dirty data include inconsistencies and errors.

Dirty data can come from any part of the research process, including poor research design , inappropriate measurement materials, or flawed data entry.

Random assignment is used in experiments with a between-groups or independent measures design. In this research design, there’s usually a control group and one or more experimental groups. Random assignment helps ensure that the groups are comparable.

In general, you should always use random assignment in this type of experimental design when it is ethically possible and makes sense for your study topic.

Random selection, or random sampling , is a way of selecting members of a population for your study’s sample.

In contrast, random assignment is a way of sorting the sample into control and experimental groups.

Random sampling enhances the external validity or generalisability of your results, while random assignment improves the internal validity of your study.

To implement random assignment , assign a unique number to every member of your study’s sample .

Then, you can use a random number generator or a lottery method to randomly assign each number to a control or experimental group. You can also do so manually, by flipping a coin or rolling a die to randomly assign participants to groups.

Exploratory research is often used when the issue you’re studying is new or when the data collection process is challenging for some reason.

You can use exploratory research if you have a general idea or a specific question that you want to study but there is no preexisting knowledge or paradigm with which to study it.

Exploratory research is a methodology approach that explores research questions that have not previously been studied in depth. It is often used when the issue you’re studying is new, or the data collection process is challenging in some way.

Explanatory research is used to investigate how or why a phenomenon occurs. Therefore, this type of research is often one of the first stages in the research process , serving as a jumping-off point for future research.

Explanatory research is a research method used to investigate how or why something occurs when only a small amount of information is available pertaining to that topic. It can help you increase your understanding of a given topic.

Blinding means hiding who is assigned to the treatment group and who is assigned to the control group in an experiment .

Blinding is important to reduce bias (e.g., observer bias , demand characteristics ) and ensure a study’s internal validity .

If participants know whether they are in a control or treatment group , they may adjust their behaviour in ways that affect the outcome that researchers are trying to measure. If the people administering the treatment are aware of group assignment, they may treat participants differently and thus directly or indirectly influence the final results.

• In a single-blind study , only the participants are blinded.
• In a double-blind study , both participants and experimenters are blinded.
• In a triple-blind study , the assignment is hidden not only from participants and experimenters, but also from the researchers analysing the data.

Many academic fields use peer review , largely to determine whether a manuscript is suitable for publication. Peer review enhances the credibility of the published manuscript.

However, peer review is also common in non-academic settings. The United Nations, the European Union, and many individual nations use peer review to evaluate grant applications. It is also widely used in medical and health-related fields as a teaching or quality-of-care measure.

Peer assessment is often used in the classroom as a pedagogical tool. Both receiving feedback and providing it are thought to enhance the learning process, helping students think critically and collaboratively.

Peer review can stop obviously problematic, falsified, or otherwise untrustworthy research from being published. It also represents an excellent opportunity to get feedback from renowned experts in your field.

It acts as a first defence, helping you ensure your argument is clear and that there are no gaps, vague terms, or unanswered questions for readers who weren’t involved in the research process.

Peer-reviewed articles are considered a highly credible source due to this stringent process they go through before publication.

In general, the peer review process follows the following steps:

• First, the author submits the manuscript to the editor.
• Reject the manuscript and send it back to author, or
• Send it onward to the selected peer reviewer(s)
• Next, the peer review process occurs. The reviewer provides feedback, addressing any major or minor issues with the manuscript, and gives their advice regarding what edits should be made.
• Lastly, the edited manuscript is sent back to the author. They input the edits, and resubmit it to the editor for publication.

Peer review is a process of evaluating submissions to an academic journal. Utilising rigorous criteria, a panel of reviewers in the same subject area decide whether to accept each submission for publication.

For this reason, academic journals are often considered among the most credible sources you can use in a research project – provided that the journal itself is trustworthy and well regarded.

Anonymity means you don’t know who the participants are, while confidentiality means you know who they are but remove identifying information from your research report. Both are important ethical considerations .

You can only guarantee anonymity by not collecting any personally identifying information – for example, names, phone numbers, email addresses, IP addresses, physical characteristics, photos, or videos.

You can keep data confidential by using aggregate information in your research report, so that you only refer to groups of participants rather than individuals.

Research misconduct means making up or falsifying data, manipulating data analyses, or misrepresenting results in research reports. It’s a form of academic fraud.

These actions are committed intentionally and can have serious consequences; research misconduct is not a simple mistake or a point of disagreement but a serious ethical failure.

Research ethics matter for scientific integrity, human rights and dignity, and collaboration between science and society. These principles make sure that participation in studies is voluntary, informed, and safe.

Ethical considerations in research are a set of principles that guide your research designs and practices. These principles include voluntary participation, informed consent, anonymity, confidentiality, potential for harm, and results communication.

Scientists and researchers must always adhere to a certain code of conduct when collecting data from others .

These considerations protect the rights of research participants, enhance research validity , and maintain scientific integrity.

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The two main types of social desirability bias are:

• Self-deceptive enhancement (self-deception): The tendency to see oneself in a favorable light without realizing it.
• Impression managemen t (other-deception): The tendency to inflate one’s abilities or achievement in order to make a good impression on other people.

Demand characteristics are aspects of experiments that may give away the research objective to participants. Social desirability bias occurs when participants automatically try to respond in ways that make them seem likeable in a study, even if it means misrepresenting how they truly feel.

Participants may use demand characteristics to infer social norms or experimenter expectancies and act in socially desirable ways, so you should try to control for demand characteristics wherever possible.

Response bias refers to conditions or factors that take place during the process of responding to surveys, affecting the responses. One type of response bias is social desirability bias .

When your population is large in size, geographically dispersed, or difficult to contact, it’s necessary to use a sampling method .

This allows you to gather information from a smaller part of the population, i.e. the sample, and make accurate statements by using statistical analysis. A few sampling methods include simple random sampling , convenience sampling , and snowball sampling .

Stratified and cluster sampling may look similar, but bear in mind that groups created in cluster sampling are heterogeneous , so the individual characteristics in the cluster vary. In contrast, groups created in stratified sampling are homogeneous , as units share characteristics.

Relatedly, in cluster sampling you randomly select entire groups and include all units of each group in your sample. However, in stratified sampling, you select some units of all groups and include them in your sample. In this way, both methods can ensure that your sample is representative of the target population .

A sampling frame is a list of every member in the entire population . It is important that the sampling frame is as complete as possible, so that your sample accurately reflects your population.

Convenience sampling and quota sampling are both non-probability sampling methods. They both use non-random criteria like availability, geographical proximity, or expert knowledge to recruit study participants.

However, in convenience sampling, you continue to sample units or cases until you reach the required sample size.

In quota sampling, you first need to divide your population of interest into subgroups (strata) and estimate their proportions (quota) in the population. Then you can start your data collection , using convenience sampling to recruit participants, until the proportions in each subgroup coincide with the estimated proportions in the population.

Random sampling or probability sampling is based on random selection. This means that each unit has an equal chance (i.e., equal probability) of being included in the sample.

On the other hand, convenience sampling involves stopping people at random, which means that not everyone has an equal chance of being selected depending on the place, time, or day you are collecting your data.

Stratified sampling and quota sampling both involve dividing the population into subgroups and selecting units from each subgroup. The purpose in both cases is to select a representative sample and/or to allow comparisons between subgroups.

The main difference is that in stratified sampling, you draw a random sample from each subgroup ( probability sampling ). In quota sampling you select a predetermined number or proportion of units, in a non-random manner ( non-probability sampling ).

Snowball sampling is best used in the following cases:

• If there is no sampling frame available (e.g., people with a rare disease)
• If the population of interest is hard to access or locate (e.g., people experiencing homelessness)
• If the research focuses on a sensitive topic (e.g., extra-marital affairs)

Snowball sampling relies on the use of referrals. Here, the researcher recruits one or more initial participants, who then recruit the next ones. 

Participants share similar characteristics and/or know each other. Because of this, not every member of the population has an equal chance of being included in the sample, giving rise to sampling bias .

Snowball sampling is a non-probability sampling method , where there is not an equal chance for every member of the population to be included in the sample .

This means that you cannot use inferential statistics and make generalisations – often the goal of quantitative research . As such, a snowball sample is not representative of the target population, and is usually a better fit for qualitative research .

Snowball sampling is a non-probability sampling method . Unlike probability sampling (which involves some form of random selection ), the initial individuals selected to be studied are the ones who recruit new participants.

Because not every member of the target population has an equal chance of being recruited into the sample, selection in snowball sampling is non-random.

Reproducibility and replicability are related terms.

• Reproducing research entails reanalysing the existing data in the same manner.
• Replicating (or repeating ) the research entails reconducting the entire analysis, including the collection of new data . 
• A successful reproduction shows that the data analyses were conducted in a fair and honest manner.
• A successful replication shows that the reliability of the results is high.

The reproducibility and replicability of a study can be ensured by writing a transparent, detailed method section and using clear, unambiguous language.

Convergent validity and discriminant validity are both subtypes of construct validity . Together, they help you evaluate whether a test measures the concept it was designed to measure.

• Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct.
• Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related

You need to assess both in order to demonstrate construct validity. Neither one alone is sufficient for establishing construct validity.

Construct validity has convergent and discriminant subtypes. They assist determine if a test measures the intended notion.

Content validity shows you how accurately a test or other measurement method taps  into the various aspects of the specific construct you are researching.

In other words, it helps you answer the question: “does the test measure all aspects of the construct I want to measure?” If it does, then the test has high content validity.

The higher the content validity, the more accurate the measurement of the construct.

If the test fails to include parts of the construct, or irrelevant parts are included, the validity of the instrument is threatened, which brings your results into question.

Construct validity refers to how well a test measures the concept (or construct) it was designed to measure. Assessing construct validity is especially important when you’re researching concepts that can’t be quantified and/or are intangible, like introversion. To ensure construct validity your test should be based on known indicators of introversion ( operationalisation ).

On the other hand, content validity assesses how well the test represents all aspects of the construct. If some aspects are missing or irrelevant parts are included, the test has low content validity.

Face validity and content validity are similar in that they both evaluate how suitable the content of a test is. The difference is that face validity is subjective, and assesses content at surface level.

When a test has strong face validity, anyone would agree that the test’s questions appear to measure what they are intended to measure.

For example, looking at a 4th grade math test consisting of problems in which students have to add and multiply, most people would agree that it has strong face validity (i.e., it looks like a math test).

On the other hand, content validity evaluates how well a test represents all the aspects of a topic. Assessing content validity is more systematic and relies on expert evaluation. of each question, analysing whether each one covers the aspects that the test was designed to cover.

A 4th grade math test would have high content validity if it covered all the skills taught in that grade. Experts(in this case, math teachers), would have to evaluate the content validity by comparing the test to the learning objectives.

• Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related. This type of validity is also called divergent validity .

Criterion validity and construct validity are both types of measurement validity . In other words, they both show you how accurately a method measures something.

While construct validity is the degree to which a test or other measurement method measures what it claims to measure, criterion validity is the degree to which a test can predictively (in the future) or concurrently (in the present) measure something.

Construct validity is often considered the overarching type of measurement validity . You need to have face validity , content validity , and criterion validity in order to achieve construct validity.

Attrition refers to participants leaving a study. It always happens to some extent – for example, in randomised control trials for medical research.

Differential attrition occurs when attrition or dropout rates differ systematically between the intervention and the control group . As a result, the characteristics of the participants who drop out differ from the characteristics of those who stay in the study. Because of this, study results may be biased .

Criterion validity evaluates how well a test measures the outcome it was designed to measure. An outcome can be, for example, the onset of a disease.

Criterion validity consists of two subtypes depending on the time at which the two measures (the criterion and your test) are obtained:

• Concurrent validity is a validation strategy where the the scores of a test and the criterion are obtained at the same time
• Predictive validity is a validation strategy where the criterion variables are measured after the scores of the test

Validity tells you how accurately a method measures what it was designed to measure. There are 4 main types of validity :

• Construct validity : Does the test measure the construct it was designed to measure?
• Face validity : Does the test appear to be suitable for its objectives ?
• Content validity : Does the test cover all relevant parts of the construct it aims to measure.
• Criterion validity : Do the results accurately measure the concrete outcome they are designed to measure?

Convergent validity shows how much a measure of one construct aligns with other measures of the same or related constructs .

On the other hand, concurrent validity is about how a measure matches up to some known criterion or gold standard, which can be another measure.

Although both types of validity are established by calculating the association or correlation between a test score and another variable , they represent distinct validation methods.

The purpose of theory-testing mode is to find evidence in order to disprove, refine, or support a theory. As such, generalisability is not the aim of theory-testing mode.

Due to this, the priority of researchers in theory-testing mode is to eliminate alternative causes for relationships between variables . In other words, they prioritise internal validity over external validity , including ecological validity .

Inclusion and exclusion criteria are typically presented and discussed in the methodology section of your thesis or dissertation .

Inclusion and exclusion criteria are predominantly used in non-probability sampling . In purposive sampling and snowball sampling , restrictions apply as to who can be included in the sample .

Scope of research is determined at the beginning of your research process , prior to the data collection stage. Sometimes called “scope of study,” your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you’ll be able to achieve your goals and outcomes.

Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .

To define your scope of research, consider the following:

• Budget constraints or any specifics of grant funding
• Your proposed timeline and duration
• Specifics about your population of study, your proposed sample size , and the research methodology you’ll pursue
• Any inclusion and exclusion criteria
• Any anticipated control , extraneous , or confounding variables that could bias your research if not accounted for properly.

To make quantitative observations , you need to use instruments that are capable of measuring the quantity you want to observe. For example, you might use a ruler to measure the length of an object or a thermometer to measure its temperature.

Quantitative observations involve measuring or counting something and expressing the result in numerical form, while qualitative observations involve describing something in non-numerical terms, such as its appearance, texture, or color.

The Scribbr Reference Generator is developed using the open-source Citation Style Language (CSL) project and Frank Bennett’s citeproc-js . It’s the same technology used by dozens of other popular citation tools, including Mendeley and Zotero.

You can find all the citation styles and locales used in the Scribbr Reference Generator in our publicly accessible repository on Github .

To paraphrase effectively, don’t just take the original sentence and swap out some of the words for synonyms. Instead, try:

• Reformulating the sentence (e.g., change active to passive , or start from a different point)
• Combining information from multiple sentences into one
• Leaving out information from the original that isn’t relevant to your point
• Using synonyms where they don’t distort the meaning

The main point is to ensure you don’t just copy the structure of the original text, but instead reformulate the idea in your own words.

Plagiarism means using someone else’s words or ideas and passing them off as your own. Paraphrasing means putting someone else’s ideas into your own words.

So when does paraphrasing count as plagiarism?

• Paraphrasing is plagiarism if you don’t properly credit the original author.
• Paraphrasing is plagiarism if your text is too close to the original wording (even if you cite the source). If you directly copy a sentence or phrase, you should quote it instead.
• Paraphrasing  is not plagiarism if you put the author’s ideas completely into your own words and properly reference the source .

To present information from other sources in academic writing , it’s best to paraphrase in most cases. This shows that you’ve understood the ideas you’re discussing and incorporates them into your text smoothly.

It’s appropriate to quote when:

• Changing the phrasing would distort the meaning of the original text
• You want to discuss the author’s language choices (e.g., in literary analysis )
• You’re presenting a precise definition
• You’re looking in depth at a specific claim

A quote is an exact copy of someone else’s words, usually enclosed in quotation marks and credited to the original author or speaker.

Every time you quote a source , you must include a correctly formatted in-text citation . This looks slightly different depending on the citation style .

For example, a direct quote in APA is cited like this: ‘This is a quote’ (Streefkerk, 2020, p. 5).

Every in-text citation should also correspond to a full reference at the end of your paper.

In scientific subjects, the information itself is more important than how it was expressed, so quoting should generally be kept to a minimum. In the arts and humanities, however, well-chosen quotes are often essential to a good paper.

In social sciences, it varies. If your research is mainly quantitative , you won’t include many quotes, but if it’s more qualitative , you may need to quote from the data you collected .

As a general guideline, quotes should take up no more than 5–10% of your paper. If in doubt, check with your instructor or supervisor how much quoting is appropriate in your field.

If you’re quoting from a text that paraphrases or summarises other sources and cites them in parentheses , APA  recommends retaining the citations as part of the quote:

• Smith states that ‘the literature on this topic (Jones, 2015; Sill, 2019; Paulson, 2020) shows no clear consensus’ (Smith, 2019, p. 4).

Footnote or endnote numbers that appear within quoted text should be omitted.

If you want to cite an indirect source (one you’ve only seen quoted in another source), either locate the original source or use the phrase ‘as cited in’ in your citation.

A block quote is a long quote formatted as a separate ‘block’ of text. Instead of using quotation marks , you place the quote on a new line, and indent the entire quote to mark it apart from your own words.

APA uses block quotes for quotes that are 40 words or longer.

A credible source should pass the CRAAP test  and follow these guidelines:

• The information should be up to date and current.
• The author and publication should be a trusted authority on the subject you are researching.
• The sources the author cited should be easy to find, clear, and unbiased.
• For a web source, the URL and layout should signify that it is trustworthy.

Common examples of primary sources include interview transcripts , photographs, novels, paintings, films, historical documents, and official statistics.

Anything you directly analyze or use as first-hand evidence can be a primary source, including qualitative or quantitative data that you collected yourself.

Common examples of secondary sources include academic books, journal articles , reviews, essays , and textbooks.

Anything that summarizes, evaluates or interprets primary sources can be a secondary source. If a source gives you an overview of background information or presents another researcher’s ideas on your topic, it is probably a secondary source.

To determine if a source is primary or secondary, ask yourself:

• Was the source created by someone directly involved in the events you’re studying (primary), or by another researcher (secondary)?
• Does the source provide original information (primary), or does it summarize information from other sources (secondary)?
• Are you directly analyzing the source itself (primary), or only using it for background information (secondary)?

Some types of sources are nearly always primary: works of art and literature, raw statistical data, official documents and records, and personal communications (e.g. letters, interviews ). If you use one of these in your research, it is probably a primary source.

Primary sources are often considered the most credible in terms of providing evidence for your argument, as they give you direct evidence of what you are researching. However, it’s up to you to ensure the information they provide is reliable and accurate.

Always make sure to properly cite your sources to avoid plagiarism .

A fictional movie is usually a primary source. A documentary can be either primary or secondary depending on the context.

If you are directly analysing some aspect of the movie itself – for example, the cinematography, narrative techniques, or social context – the movie is a primary source.

If you use the movie for background information or analysis about your topic – for example, to learn about a historical event or a scientific discovery – the movie is a secondary source.

Whether it’s primary or secondary, always properly cite the movie in the citation style you are using. Learn how to create an MLA movie citation or an APA movie citation .

Articles in newspapers and magazines can be primary or secondary depending on the focus of your research.

In historical studies, old articles are used as primary sources that give direct evidence about the time period. In social and communication studies, articles are used as primary sources to analyse language and social relations (for example, by conducting content analysis or discourse analysis ).

If you are not analysing the article itself, but only using it for background information or facts about your topic, then the article is a secondary source.

In academic writing , there are three main situations where quoting is the best choice:

• To analyse the author’s language (e.g., in a literary analysis essay )
• To give evidence from primary sources
• To accurately present a precise definition or argument

Don’t overuse quotes; your own voice should be dominant. If you just want to provide information from a source, it’s usually better to paraphrase or summarise .

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Lists of figures and tables are often not required, and they aren’t particularly common. They specifically aren’t required for APA Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organised. Your educational institution may require them, so be sure to check their guidelines.

Copyright information can usually be found wherever the table or figure was published. For example, for a diagram in a journal article , look on the journal’s website or the database where you found the article. Images found on sites like Flickr are listed with clear copyright information.

If you find that permission is required to reproduce the material, be sure to contact the author or publisher and ask for it.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

APA doesn’t require you to include a list of tables or a list of figures . However, it is advisable to do so if your text is long enough to feature a table of contents and it includes a lot of tables and/or figures .

A list of tables and list of figures appear (in that order) after your table of contents, and are presented in a similar way.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organised by page number.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

Usually, no title page is needed in an MLA paper . A header is generally included at the top of the first page instead. The exceptions are when:

• Your instructor requires one, or
• Your paper is a group project

In those cases, you should use a title page instead of a header, listing the same information but on a separate page.

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organise your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation, such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.

A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation .

A theoretical framework can sometimes be integrated into a  literature review chapter , but it can also be included as its own chapter or section in your dissertation . As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.

An abstract is a concise summary of an academic text (such as a journal article or dissertation ). It serves two main purposes:

• To help potential readers determine the relevance of your paper for their own research.
• To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarises the contents of your paper.

The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis or paper.

Avoid citing sources in your abstract . There are two reasons for this:

• The abstract should focus on your original research, not on the work of others.
• The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.

The abstract appears on its own page, after the title page and acknowledgements but before the table of contents .

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

A noun is a word that represents a person, thing, concept, or place (e.g., ‘John’, ‘house’, ‘affinity’, ‘river’). Most sentences contain at least one noun or pronoun .

Nouns are often, but not always, preceded by an article (‘the’, ‘a’, or ‘an’) and/or another determiner such as an adjective.

There are many ways to categorize nouns into various types, and the same noun can fall into multiple categories or even change types depending on context.

Some of the main types of nouns are:

• Common nouns and proper nouns
• Countable and uncountable nouns
• Concrete and abstract nouns
• Collective nouns
• Possessive nouns
• Attributive nouns
• Appositive nouns
• Generic nouns

Pronouns are words like ‘I’, ‘she’, and ‘they’ that are used in a similar way to nouns . They stand in for a noun that has already been mentioned or refer to yourself and other people.

Pronouns can function just like nouns as the head of a noun phrase and as the subject or object of a verb. However, pronouns change their forms (e.g., from ‘I’ to ‘me’) depending on the grammatical context they’re used in, whereas nouns usually don’t.

Common nouns are words for types of things, people, and places, such as ‘dog’, ‘professor’, and ‘city’. They are not capitalised and are typically used in combination with articles and other determiners.

Proper nouns are words for specific things, people, and places, such as ‘Max’, ‘Dr Prakash’, and ‘London’. They are always capitalised and usually aren’t combined with articles and other determiners.

A proper adjective is an adjective that was derived from a proper noun and is therefore capitalised .

Proper adjectives include words for nationalities, languages, and ethnicities (e.g., ‘Japanese’, ‘Inuit’, ‘French’) and words derived from people’s names (e.g., ‘Bayesian’, ‘Orwellian’).

The names of seasons (e.g., ‘spring’) are treated as common nouns in English and therefore not capitalised . People often assume they are proper nouns, but this is an error.

The names of days and months, however, are capitalised since they’re treated as proper nouns in English (e.g., ‘Wednesday’, ‘January’).

No, as a general rule, academic concepts, disciplines, theories, models, etc. are treated as common nouns , not proper nouns , and therefore not capitalised . For example, ‘five-factor model of personality’ or ‘analytic philosophy’.

However, proper nouns that appear within the name of an academic concept (such as the name of the inventor) are capitalised as usual. For example, ‘Darwin’s theory of evolution’ or ‘ Student’s t table ‘.

Collective nouns are most commonly treated as singular (e.g., ‘the herd is grazing’), but usage differs between US and UK English :

• In US English, it’s standard to treat all collective nouns as singular, even when they are plural in appearance (e.g., ‘The Rolling Stones is …’). Using the plural form is usually seen as incorrect.
• In UK English, collective nouns can be treated as singular or plural depending on context. It’s quite common to use the plural form, especially when the noun looks plural (e.g., ‘The Rolling Stones are …’).

The plural of “crisis” is “crises”. It’s a loanword from Latin and retains its original Latin plural noun form (similar to “analyses” and “bases”). It’s wrong to write “crisises”.

For example, you might write “Several crises destabilized the regime.”

Normally, the plural of “fish” is the same as the singular: “fish”. It’s one of a group of irregular plural nouns in English that are identical to the corresponding singular nouns (e.g., “moose”, “sheep”). For example, you might write “The fish scatter as the shark approaches.”

If you’re referring to several species of fish, though, the regular plural “fishes” is often used instead. For example, “The aquarium contains many different fishes , including trout and carp.”

The correct plural of “octopus” is “octopuses”.

People often write “octopi” instead because they assume that the plural noun is formed in the same way as Latin loanwords such as “fungus/fungi”. But “octopus” actually comes from Greek, where its original plural is “octopodes”. In English, it instead has the regular plural form “octopuses”.

For example, you might write “There are four octopuses in the aquarium.”

The plural of “moose” is the same as the singular: “moose”. It’s one of a group of plural nouns in English that are identical to the corresponding singular nouns. So it’s wrong to write “mooses”.

For example, you might write “There are several moose in the forest.”

Bias in research affects the validity and reliability of your findings, leading to false conclusions and a misinterpretation of the truth. This can have serious implications in areas like medical research where, for example, a new form of treatment may be evaluated.

Observer bias occurs when the researcher’s assumptions, views, or preconceptions influence what they see and record in a study, while actor–observer bias refers to situations where respondents attribute internal factors (e.g., bad character) to justify other’s behaviour and external factors (difficult circumstances) to justify the same behaviour in themselves.

Response bias is a general term used to describe a number of different conditions or factors that cue respondents to provide inaccurate or false answers during surveys or interviews . These factors range from the interviewer’s perceived social position or appearance to the the phrasing of questions in surveys.

Nonresponse bias occurs when the people who complete a survey are different from those who did not, in ways that are relevant to the research topic. Nonresponse can happen either because people are not willing or not able to participate.

In research, demand characteristics are cues that might indicate the aim of a study to participants. These cues can lead to participants changing their behaviors or responses based on what they think the research is about.

Demand characteristics are common problems in psychology experiments and other social science studies because they can bias your research findings.

Demand characteristics are a type of extraneous variable that can affect the outcomes of the study. They can invalidate studies by providing an alternative explanation for the results.

These cues may nudge participants to consciously or unconsciously change their responses, and they pose a threat to both internal and external validity . You can’t be sure that your independent variable manipulation worked, or that your findings can be applied to other people or settings.

You can control demand characteristics by taking a few precautions in your research design and materials.

Use these measures:

• Deception: Hide the purpose of the study from participants
• Between-groups design : Give each participant only one independent variable treatment
• Double-blind design : Conceal the assignment of groups from participants and yourself
• Implicit measures: Use indirect or hidden measurements for your variables

Some attrition is normal and to be expected in research. However, the type of attrition is important because systematic research bias can distort your findings. Attrition bias can lead to inaccurate results because it affects internal and/or external validity .

To avoid attrition bias , applying some of these measures can help you reduce participant dropout (attrition) by making it easy and appealing for participants to stay.

• Provide compensation (e.g., cash or gift cards) for attending every session
• Minimise the number of follow-ups as much as possible
• Make all follow-ups brief, flexible, and convenient for participants
• Send participants routine reminders to schedule follow-ups
• Recruit more participants than you need for your sample (oversample)
• Maintain detailed contact information so you can get in touch with participants even if they move

If you have a small amount of attrition bias , you can use a few statistical methods to try to make up for this research bias .

Multiple imputation involves using simulations to replace the missing data with likely values. Alternatively, you can use sample weighting to make up for the uneven balance of participants in your sample.

Placebos are used in medical research for new medication or therapies, called clinical trials. In these trials some people are given a placebo, while others are given the new medication being tested.

The purpose is to determine how effective the new medication is: if it benefits people beyond a predefined threshold as compared to the placebo, it’s considered effective.

Although there is no definite answer to what causes the placebo effect , researchers propose a number of explanations such as the power of suggestion, doctor-patient interaction, classical conditioning, etc.

Belief bias and confirmation bias are both types of cognitive bias that impact our judgment and decision-making.

Confirmation bias relates to how we perceive and judge evidence. We tend to seek out and prefer information that supports our preexisting beliefs, ignoring any information that contradicts those beliefs.

Belief bias describes the tendency to judge an argument based on how plausible the conclusion seems to us, rather than how much evidence is provided to support it during the course of the argument.

Positivity bias is phenomenon that occurs when a person judges individual members of a group positively, even when they have negative impressions or judgments of the group as a whole. Positivity bias is closely related to optimism bias , or the e xpectation that things will work out well, even if rationality suggests that problems are inevitable in life.

Perception bias is a problem because it prevents us from seeing situations or people objectively. Rather, our expectations, beliefs, or emotions interfere with how we interpret reality. This, in turn, can cause us to misjudge ourselves or others. For example, our prejudices can interfere with whether we perceive people’s faces as friendly or unfriendly.

There are many ways to categorize adjectives into various types. An adjective can fall into one or more of these categories depending on how it is used.

Some of the main types of adjectives are:

• Attributive adjectives
• Predicative adjectives
• Comparative adjectives
• Superlative adjectives
• Coordinate adjectives
• Appositive adjectives
• Compound adjectives
• Participial adjectives
• Proper adjectives
• Denominal adjectives
• Nominal adjectives

Cardinal numbers (e.g., one, two, three) can be placed before a noun to indicate quantity (e.g., one apple). While these are sometimes referred to as ‘numeral adjectives ‘, they are more accurately categorised as determiners or quantifiers.

Proper adjectives are adjectives formed from a proper noun (i.e., the name of a specific person, place, or thing) that are used to indicate origin. Like proper nouns, proper adjectives are always capitalised (e.g., Newtonian, Marxian, African).

The cost of proofreading depends on the type and length of text, the turnaround time, and the level of services required. Most proofreading companies charge per word or page, while freelancers sometimes charge an hourly rate.

For proofreading alone, which involves only basic corrections of typos and formatting mistakes, you might pay as little as £0.01 per word, but in many cases, your text will also require some level of editing , which costs slightly more.

It’s often possible to purchase combined proofreading and editing services and calculate the price in advance based on your requirements.

Then and than are two commonly confused words . In the context of ‘better than’, you use ‘than’ with an ‘a’.

• Julie is better than Jesse.
• I’d rather spend my time with you than with him.
• I understand Eoghan’s point of view better than Claudia’s.

Use to and used to are commonly confused words . In the case of ‘used to do’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

• I used to do laundry once a week.
• They used to do each other’s hair.
• We used to do the dishes every day .

There are numerous synonyms and near synonyms for the various meanings of “ favour ”:

There are numerous synonyms and near synonyms for the two meanings of “ favoured ”:

No one (two words) is an indefinite pronoun meaning ‘nobody’. People sometimes mistakenly write ‘noone’, but this is incorrect and should be avoided. ‘No-one’, with a hyphen, is also acceptable in UK English .

Nobody and no one are both indefinite pronouns meaning ‘no person’. They can be used interchangeably (e.g., ‘nobody is home’ means the same as ‘no one is home’).

Some synonyms and near synonyms of  every time include:

• Without exception

‘Everytime’ is sometimes used to mean ‘each time’ or ‘whenever’. However, this is incorrect and should be avoided. The correct phrase is every time   (two words).

Yes, the conjunction because is a compound word , but one with a long history. It originates in Middle English from the preposition “bi” (“by”) and the noun “cause”. Over time, the open compound “bi cause” became the closed compound “because”, which we use today.

Though it’s spelled this way now, the verb “be” is not one of the words that makes up “because”.

Yes, today is a compound word , but a very old one. It wasn’t originally formed from the preposition “to” and the noun “day”; rather, it originates from their Old English equivalents, “tō” and “dæġe”.

In the past, it was sometimes written as a hyphenated compound: “to-day”. But the hyphen is no longer included; it’s always “today” now (“to day” is also wrong).

IEEE citation format is defined by the Institute of Electrical and Electronics Engineers and used in their publications.

It’s also a widely used citation style for students in technical fields like electrical and electronic engineering, computer science, telecommunications, and computer engineering.

An IEEE in-text citation consists of a number in brackets at the relevant point in the text, which points the reader to the right entry in the numbered reference list at the end of the paper. For example, ‘Smith [1] states that …’

A location marker such as a page number is also included within the brackets when needed: ‘Smith [1, p. 13] argues …’

The IEEE reference page consists of a list of references numbered in the order they were cited in the text. The title ‘References’ appears in bold at the top, either left-aligned or centered.

The numbers appear in square brackets on the left-hand side of the page. The reference entries are indented consistently to separate them from the numbers. Entries are single-spaced, with a normal paragraph break between them.

If you cite the same source more than once in your writing, use the same number for all of the IEEE in-text citations for that source, and only include it on the IEEE reference page once. The source is numbered based on the first time you cite it.

For example, the fourth source you cite in your paper is numbered [4]. If you cite it again later, you still cite it as [4]. You can cite different parts of the source each time by adding page numbers [4, p. 15].

A verb is a word that indicates a physical action (e.g., ‘drive’), a mental action (e.g., ‘think’) or a state of being (e.g., ‘exist’). Every sentence contains a verb.

Verbs are almost always used along with a noun or pronoun to describe what the noun or pronoun is doing.

There are many ways to categorize verbs into various types. A verb can fall into one or more of these categories depending on how it is used.

Some of the main types of verbs are:

• Regular verbs
• Irregular verbs
• Transitive verbs
• Intransitive verbs
• Dynamic verbs
• Stative verbs
• Linking verbs
• Auxiliary verbs
• Modal verbs
• Phrasal verbs

Regular verbs are verbs whose simple past and past participle are formed by adding the suffix ‘-ed’ (e.g., ‘walked’).

Irregular verbs are verbs that form their simple past and past participles in some way other than by adding the suffix ‘-ed’ (e.g., ‘sat’).

The indefinite articles a and an are used to refer to a general or unspecified version of a noun (e.g., a house). Which indefinite article you use depends on the pronunciation of the word that follows it.

• A is used for words that begin with a consonant sound (e.g., a bear).
• An is used for words that begin with a vowel sound (e.g., an eagle).

Indefinite articles can only be used with singular countable nouns . Like definite articles, they are a type of determiner .

Editing and proofreading are different steps in the process of revising a text.

Editing comes first, and can involve major changes to content, structure and language. The first stages of editing are often done by authors themselves, while a professional editor makes the final improvements to grammar and style (for example, by improving sentence structure and word choice ).

Proofreading is the final stage of checking a text before it is published or shared. It focuses on correcting minor errors and inconsistencies (for example, in punctuation and capitalization ). Proofreaders often also check for formatting issues, especially in print publishing.

Whether you’re publishing a blog, submitting a research paper , or even just writing an important email, there are a few techniques you can use to make sure it’s error-free:

• Take a break : Set your work aside for at least a few hours so that you can look at it with fresh eyes.
• Proofread a printout : Staring at a screen for too long can cause fatigue – sit down with a pen and paper to check the final version.
• Use digital shortcuts : Take note of any recurring mistakes (for example, misspelling a particular word, switching between US and UK English , or inconsistently capitalizing a term), and use Find and Replace to fix it throughout the document.

If you want to be confident that an important text is error-free, it might be worth choosing a professional proofreading service instead.

There are many different routes to becoming a professional proofreader or editor. The necessary qualifications depend on the field – to be an academic or scientific proofreader, for example, you will need at least a university degree in a relevant subject.

For most proofreading jobs, experience and demonstrated skills are more important than specific qualifications. Often your skills will be tested as part of the application process.

To learn practical proofreading skills, you can choose to take a course with a professional organisation such as the Society for Editors and Proofreaders . Alternatively, you can apply to companies that offer specialised on-the-job training programmes, such as the Scribbr Academy .

Though they’re pronounced the same, there’s a big difference in meaning between its and it’s .

• ‘The cat ate its food’.
• ‘It’s almost Christmas’.

Its and it’s are often confused, but its (without apostrophe) is the possessive form of ‘it’ (e.g., its tail, its argument, its wing). You use ‘its’ instead of ‘his’ and ‘her’ for neuter, inanimate nouns.

Then and than are two commonly confused words with different meanings and grammatical roles.

• Then (pronounced with a short ‘e’ sound) refers to time. It’s often an adverb , but it can also be used as a noun meaning ‘that time’ and as an adjective referring to a previous status.
• Than (pronounced with a short ‘a’ sound) is used for comparisons. Grammatically, it usually functions as a conjunction , but sometimes it’s a preposition .

Use to and used to are commonly confused words . In the case of ‘used to be’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

• I used to be the new coworker.
• There used to be 4 cookies left.
• We used to walk to school every day .

A grammar checker is a tool designed to automatically check your text for spelling errors, grammatical issues, punctuation mistakes , and problems with sentence structure . You can check out our analysis of the best free grammar checkers to learn more.

A paraphrasing tool edits your text more actively, changing things whether they were grammatically incorrect or not. It can paraphrase your sentences to make them more concise and readable or for other purposes. You can check out our analysis of the best free paraphrasing tools to learn more.

Some tools available online combine both functions. Others, such as QuillBot , have separate grammar checker and paraphrasing tools. Be aware of what exactly the tool you’re using does to avoid introducing unwanted changes.

Good grammar is the key to expressing yourself clearly and fluently, especially in professional communication and academic writing . Word processors, browsers, and email programs typically have built-in grammar checkers, but they’re quite limited in the kinds of problems they can fix.

If you want to go beyond detecting basic spelling errors, there are many online grammar checkers with more advanced functionality. They can often detect issues with punctuation , word choice, and sentence structure that more basic tools would miss.

Not all of these tools are reliable, though. You can check out our research into the best free grammar checkers to explore the options.

Our research indicates that the best free grammar checker available online is the QuillBot grammar checker .

We tested 10 of the most popular checkers with the same sample text (containing 20 grammatical errors) and found that QuillBot easily outperformed the competition, scoring 18 out of 20, a drastic improvement over the second-place score of 13 out of 20.

It even appeared to outperform the premium versions of other grammar checkers, despite being entirely free.

A teacher’s aide is a person who assists in teaching classes but is not a qualified teacher. Aide is a noun meaning ‘assistant’, so it will always refer to a person.

‘Teacher’s aid’ is incorrect.

A visual aid is an instructional device (e.g., a photo, a chart) that appeals to vision to help you understand written or spoken information. Aid is often placed after an attributive noun or adjective (like ‘visual’) that describes the type of help provided.

‘Visual aide’ is incorrect.

A job aid is an instructional tool (e.g., a checklist, a cheat sheet) that helps you work efficiently. Aid is a noun meaning ‘assistance’. It’s often placed after an adjective or attributive noun (like ‘job’) that describes the specific type of help provided.

‘Job aide’ is incorrect.

There are numerous synonyms for the various meanings of truly :

Yours truly is a phrase used at the end of a formal letter or email. It can also be used (typically in a humorous way) as a pronoun to refer to oneself (e.g., ‘The dinner was cooked by yours truly ‘). The latter usage should be avoided in formal writing.

It’s formed by combining the second-person possessive pronoun ‘yours’ with the adverb ‘ truly ‘.

A pathetic fallacy can be a short phrase or a whole sentence and is often used in novels and poetry. Pathetic fallacies serve multiple purposes, such as:

• Conveying the emotional state of the characters or the narrator
• Creating an atmosphere or set the mood of a scene
• Foreshadowing events to come
• Giving texture and vividness to a piece of writing
• Communicating emotion to the reader in a subtle way, by describing the external world.
• Bringing inanimate objects to life so that they seem more relatable.

AMA citation format is a citation style designed by the American Medical Association. It’s frequently used in the field of medicine.

You may be told to use AMA style for your student papers. You will also have to follow this style if you’re submitting a paper to a journal published by the AMA.

An AMA in-text citation consists of the number of the relevant reference on your AMA reference page , written in superscript 1 at the point in the text where the source is used.

It may also include the page number or range of the relevant material in the source (e.g., the part you quoted 2(p46) ). Multiple sources can be cited at one point, presented as a range or list (with no spaces 3,5–9 ).

An AMA reference usually includes the author’s last name and initials, the title of the source, information about the publisher or the publication it’s contained in, and the publication date. The specific details included, and the formatting, depend on the source type.

References in AMA style are presented in numerical order (numbered by the order in which they were first cited in the text) on your reference page. A source that’s cited repeatedly in the text still only appears once on the reference page.

An AMA in-text citation just consists of the number of the relevant entry on your AMA reference page , written in superscript at the point in the text where the source is referred to.

You don’t need to mention the author of the source in your sentence, but you can do so if you want. It’s not an official part of the citation, but it can be useful as part of a signal phrase introducing the source.

On your AMA reference page , author names are written with the last name first, followed by the initial(s) of their first name and middle name if mentioned.

There’s a space between the last name and the initials, but no space or punctuation between the initials themselves. The names of multiple authors are separated by commas , and the whole list ends in a period, e.g., ‘Andreessen F, Smith PW, Gonzalez E’.

The names of up to six authors should be listed for each source on your AMA reference page , separated by commas . For a source with seven or more authors, you should list the first three followed by ‘ et al’ : ‘Isidore, Gilbert, Gunvor, et al’.

In the text, mentioning author names is optional (as they aren’t an official part of AMA in-text citations ). If you do mention them, though, you should use the first author’s name followed by ‘et al’ when there are three or more : ‘Isidore et al argue that …’

Note that according to AMA’s rather minimalistic punctuation guidelines, there’s no period after ‘et al’ unless it appears at the end of a sentence. This is different from most other styles, where there is normally a period.

Yes, you should normally include an access date in an AMA website citation (or when citing any source with a URL). This is because webpages can change their content over time, so it’s useful for the reader to know when you accessed the page.

When a publication or update date is provided on the page, you should include it in addition to the access date. The access date appears second in this case, e.g., ‘Published June 19, 2021. Accessed August 29, 2022.’

Don’t include an access date when citing a source with a DOI (such as in an AMA journal article citation ).

Some variables have fixed levels. For example, gender and ethnicity are always nominal level data because they cannot be ranked.

However, for other variables, you can choose the level of measurement . For example, income is a variable that can be recorded on an ordinal or a ratio scale:

• At an ordinal level , you could create 5 income groupings and code the incomes that fall within them from 1–5.
• At a ratio level , you would record exact numbers for income.

If you have a choice, the ratio level is always preferable because you can analyse data in more ways. The higher the level of measurement, the more precise your data is.

The level at which you measure a variable determines how you can analyse your data.

Depending on the level of measurement , you can perform different descriptive statistics to get an overall summary of your data and inferential statistics to see if your results support or refute your hypothesis .

Levels of measurement tell you how precisely variables are recorded. There are 4 levels of measurement, which can be ranked from low to high:

• Nominal : the data can only be categorised.
• Ordinal : the data can be categorised and ranked.
• Interval : the data can be categorised and ranked, and evenly spaced.
• Ratio : the data can be categorised, ranked, evenly spaced and has a natural zero.

Statistical analysis is the main method for analyzing quantitative research data . It uses probabilities and models to test predictions about a population from sample data.

The null hypothesis is often abbreviated as H 0 . When the null hypothesis is written using mathematical symbols, it always includes an equality symbol (usually =, but sometimes ≥ or ≤).

The alternative hypothesis is often abbreviated as H a or H 1 . When the alternative hypothesis is written using mathematical symbols, it always includes an inequality symbol (usually ≠, but sometimes < or >).

As the degrees of freedom increase, Student’s t distribution becomes less leptokurtic , meaning that the probability of extreme values decreases. The distribution becomes more and more similar to a standard normal distribution .

When there are only one or two degrees of freedom , the chi-square distribution is shaped like a backwards ‘J’. When there are three or more degrees of freedom, the distribution is shaped like a right-skewed hump. As the degrees of freedom increase, the hump becomes less right-skewed and the peak of the hump moves to the right. The distribution becomes more and more similar to a normal distribution .

‘Looking forward in hearing from you’ is an incorrect version of the phrase looking forward to hearing from you . The phrasal verb ‘looking forward to’ always needs the preposition ‘to’, not ‘in’.

• I am looking forward in hearing from you.
• I am looking forward to hearing from you.

Some synonyms and near synonyms for the expression looking forward to hearing from you include:

• Eagerly awaiting your response
• Hoping to hear from you soon
• It would be great to hear back from you
• Thanks in advance for your reply

People sometimes mistakenly write ‘looking forward to hear from you’, but this is incorrect. The correct phrase is looking forward to hearing from you .

The phrasal verb ‘look forward to’ is always followed by a direct object, the thing you’re looking forward to. As the direct object has to be a noun phrase , it should be the gerund ‘hearing’, not the verb ‘hear’.

• I’m looking forward to hear from you soon.
• I’m looking forward to hearing from you soon.

Traditionally, the sign-off Yours sincerely is used in an email message or letter when you are writing to someone you have interacted with before, not a complete stranger.

Yours faithfully is used instead when you are writing to someone you have had no previous correspondence with, especially if you greeted them as ‘ Dear Sir or Madam ’.

Just checking in   is a standard phrase used to start an email (or other message) that’s intended to ask someone for a response or follow-up action in a friendly, informal way. However, it’s a cliché opening that can come across as passive-aggressive, so we recommend avoiding it in favor of a more direct opening like “We previously discussed …”

In a more personal context, you might encounter “just checking in” as part of a longer phrase such as “I’m just checking in to see how you’re doing”. In this case, it’s not asking the other person to do anything but rather asking about their well-being (emotional or physical) in a friendly way.

“Earliest convenience” is part of the phrase at your earliest convenience , meaning “as soon as you can”. 

It’s typically used to end an email in a formal context by asking the recipient to do something when it’s convenient for them to do so.

ASAP is an abbreviation of the phrase “as soon as possible”. 

It’s typically used to indicate a sense of urgency in highly informal contexts (e.g., “Let me know ASAP if you need me to drive you to the airport”).

“ASAP” should be avoided in more formal correspondence. Instead, use an alternative like at your earliest convenience .

Some synonyms and near synonyms of the verb   compose   (meaning “to make up”) are:

People increasingly use “comprise” as a synonym of “compose.” However, this is normally still seen as a mistake, and we recommend avoiding it in your academic writing . “Comprise” traditionally means “to be made up of,” not “to make up.”

Some synonyms and near synonyms of the verb comprise are:

• Be composed of
• Be made up of

People increasingly use “comprise” interchangeably with “compose,” meaning that they consider words like “compose,” “constitute,” and “form” to be synonymous with “comprise.” However, this is still normally regarded as an error, and we advise against using these words interchangeably in academic writing .

A fallacy is a mistaken belief, particularly one based on unsound arguments or one that lacks the evidence to support it. Common types of fallacy that may compromise the quality of your research are:

• Correlation/causation fallacy: Claiming that two events that occur together have a cause-and-effect relationship even though this can’t be proven
• Ecological fallacy : Making inferences about the nature of individuals based on aggregate data for the group
• The sunk cost fallacy : Following through on a project or decision because we have already invested time, effort, or money into it, even if the current costs outweigh the benefits
• The base-rate fallacy : Ignoring base-rate or statistically significant information, such as sample size or the relative frequency of an event, in favor of  less relevant information e.g., pertaining to a single case, or a small number of cases
• The planning fallacy : Underestimating the time needed to complete a future task, even when we know that similar tasks in the past have taken longer than planned

The planning fallacy refers to people’s tendency to underestimate the resources needed to complete a future task, despite knowing that previous tasks have also taken longer than planned.

For example, people generally tend to underestimate the cost and time needed for construction projects. The planning fallacy occurs due to people’s tendency to overestimate the chances that positive events, such as a shortened timeline, will happen to them. This phenomenon is called optimism bias or positivity bias.

Although both red herring fallacy and straw man fallacy are logical fallacies or reasoning errors, they denote different attempts to “win” an argument. More specifically:

• A red herring fallacy refers to an attempt to change the subject and divert attention from the original issue. In other words, a seemingly solid but ultimately irrelevant argument is introduced into the discussion, either on purpose or by mistake.
• A straw man argument involves the deliberate distortion of another person’s argument. By oversimplifying or exaggerating it, the other party creates an easy-to-refute argument and then attacks it.

The red herring fallacy is a problem because it is flawed reasoning. It is a distraction device that causes people to become sidetracked from the main issue and draw wrong conclusions.

Although a red herring may have some kernel of truth, it is used as a distraction to keep our eyes on a different matter. As a result, it can cause us to accept and spread misleading information.

The sunk cost fallacy and escalation of commitment (or commitment bias ) are two closely related terms. However, there is a slight difference between them:

• Escalation of commitment (aka commitment bias ) is the tendency to be consistent with what we have already done or said we will do in the past, especially if we did so in public. In other words, it is an attempt to save face and appear consistent.
• Sunk cost fallacy is the tendency to stick with a decision or a plan even when it’s failing. Because we have already invested valuable time, money, or energy, quitting feels like these resources were wasted.

In other words, escalating commitment is a manifestation of the sunk cost fallacy: an irrational escalation of commitment frequently occurs when people refuse to accept that the resources they’ve already invested cannot be recovered. Instead, they insist on more spending to justify the initial investment (and the incurred losses).

When you are faced with a straw man argument , the best way to respond is to draw attention to the fallacy and ask your discussion partner to show how your original statement and their distorted version are the same. Since these are different, your partner will either have to admit that their argument is invalid or try to justify it by using more flawed reasoning, which you can then attack.

The straw man argument is a problem because it occurs when we fail to take an opposing point of view seriously. Instead, we intentionally misrepresent our opponent’s ideas and avoid genuinely engaging with them. Due to this, resorting to straw man fallacy lowers the standard of constructive debate.

A straw man argument is a distorted (and weaker) version of another person’s argument that can easily be refuted (e.g., when a teacher proposes that the class spend more time on math exercises, a parent complains that the teacher doesn’t care about reading and writing).

This is a straw man argument because it misrepresents the teacher’s position, which didn’t mention anything about cutting down on reading and writing. The straw man argument is also known as the straw man fallacy .

A slippery slope argument is not always a fallacy.

• When someone claims adopting a certain policy or taking a certain action will automatically lead to a series of other policies or actions also being taken, this is a slippery slope argument.
• If they don’t show a causal connection between the advocated policy and the consequent policies, then they commit a slippery slope fallacy .

There are a number of ways you can deal with slippery slope arguments especially when you suspect these are fallacious:

• Slippery slope arguments take advantage of the gray area between an initial action or decision and the possible next steps that might lead to the undesirable outcome. You can point out these missing steps and ask your partner to indicate what evidence exists to support the claimed relationship between two or more events.
• Ask yourself if each link in the chain of events or action is valid. Every proposition has to be true for the overall argument to work, so even if one link is irrational or not supported by evidence, then the argument collapses.
• Sometimes people commit a slippery slope fallacy unintentionally. In these instances, use an example that demonstrates the problem with slippery slope arguments in general (e.g., by using statements to reach a conclusion that is not necessarily relevant to the initial statement). By attacking the concept of slippery slope arguments you can show that they are often fallacious.

People sometimes confuse cognitive bias and logical fallacies because they both relate to flawed thinking. However, they are not the same:

• Cognitive bias is the tendency to make decisions or take action in an illogical way because of our values, memory, socialization, and other personal attributes. In other words, it refers to a fixed pattern of thinking rooted in the way our brain works.
• Logical fallacies relate to how we make claims and construct our arguments in the moment. They are statements that sound convincing at first but can be disproven through logical reasoning.

In other words, cognitive bias refers to an ongoing predisposition, while logical fallacy refers to mistakes of reasoning that occur in the moment.

An appeal to ignorance (ignorance here meaning lack of evidence) is a type of informal logical fallacy .

It asserts that something must be true because it hasn’t been proven false—or that something must be false because it has not yet been proven true.

For example, “unicorns exist because there is no evidence that they don’t.” The appeal to ignorance is also called the burden of proof fallacy .

An ad hominem (Latin for “to the person”) is a type of informal logical fallacy . Instead of arguing against a person’s position, an ad hominem argument attacks the person’s character or actions in an effort to discredit them.

This rhetorical strategy is fallacious because a person’s character, motive, education, or other personal trait is logically irrelevant to whether their argument is true or false.

Name-calling is common in ad hominem fallacy (e.g., “environmental activists are ineffective because they’re all lazy tree-huggers”).

Ad hominem is a persuasive technique where someone tries to undermine the opponent’s argument by personally attacking them.

In this way, one can redirect the discussion away from the main topic and to the opponent’s personality without engaging with their viewpoint. When the opponent’s personality is irrelevant to the discussion, we call it an ad hominem fallacy .

Ad hominem tu quoque (‘you too”) is an attempt to rebut a claim by attacking its proponent on the grounds that they uphold a double standard or that they don’t practice what they preach. For example, someone is telling you that you should drive slowly otherwise you’ll get a speeding ticket one of these days, and you reply “but you used to get them all the time!”

Argumentum ad hominem means “argument to the person” in Latin and it is commonly referred to as ad hominem argument or personal attack. Ad hominem arguments are used in debates to refute an argument by attacking the character of the person making it, instead of the logic or premise of the argument itself.

The opposite of the hasty generalization fallacy is called slothful induction fallacy or appeal to coincidence .

It is the tendency to deny a conclusion even though there is sufficient evidence that supports it. Slothful induction occurs due to our natural tendency to dismiss events or facts that do not align with our personal biases and expectations. For example, a researcher may try to explain away unexpected results by claiming it is just a coincidence.

To avoid a hasty generalization fallacy we need to ensure that the conclusions drawn are well-supported by the appropriate evidence. More specifically:

• In statistics , if we want to draw inferences about an entire population, we need to make sure that the sample is random and representative of the population . We can achieve that by using a probability sampling method , like simple random sampling or stratified sampling .
• In academic writing , use precise language and measured phases. Try to avoid making absolute claims, cite specific instances and examples without applying the findings to a larger group.
• As readers, we need to ask ourselves “does the writer demonstrate sufficient knowledge of the situation or phenomenon that would allow them to make a generalization?”

The hasty generalization fallacy and the anecdotal evidence fallacy are similar in that they both result in conclusions drawn from insufficient evidence. However, there is a difference between the two:

• The hasty generalization fallacy involves genuinely considering an example or case (i.e., the evidence comes first and then an incorrect conclusion is drawn from this).
• The anecdotal evidence fallacy (also known as “cherry-picking” ) is knowing in advance what conclusion we want to support, and then selecting the story (or a few stories) that support it. By overemphasizing anecdotal evidence that fits well with the point we are trying to make, we overlook evidence that would undermine our argument.

Although many sources use circular reasoning fallacy and begging the question interchangeably, others point out that there is a subtle difference between the two:

• Begging the question fallacy occurs when you assume that an argument is true in order to justify a conclusion. If something begs the question, what you are actually asking is, “Is the premise of that argument actually true?” For example, the statement “Snakes make great pets. That’s why we should get a snake” begs the question “are snakes really great pets?”
• Circular reasoning fallacy on the other hand, occurs when the evidence used to support a claim is just a repetition of the claim itself.  For example, “People have free will because they can choose what to do.”

In other words, we could say begging the question is a form of circular reasoning.

Circular reasoning fallacy uses circular reasoning to support an argument. More specifically, the evidence used to support a claim is just a repetition of the claim itself. For example: “The President of the United States is a good leader (claim), because they are the leader of this country (supporting evidence)”.

An example of a non sequitur is the following statement:

“Giving up nuclear weapons weakened the United States’ military. Giving up nuclear weapons also weakened China. For this reason, it is wrong to try to outlaw firearms in the United States today.”

Clearly there is a step missing in this line of reasoning and the conclusion does not follow from the premise, resulting in a non sequitur fallacy .

The difference between the post hoc fallacy and the non sequitur fallacy is that post hoc fallacy infers a causal connection between two events where none exists, whereas the non sequitur fallacy infers a conclusion that lacks a logical connection to the premise.

In other words, a post hoc fallacy occurs when there is a lack of a cause-and-effect relationship, while a non sequitur fallacy occurs when there is a lack of logical connection.

An example of post hoc fallacy is the following line of reasoning:

“Yesterday I had ice cream, and today I have a terrible stomachache. I’m sure the ice cream caused this.”

Although it is possible that the ice cream had something to do with the stomachache, there is no proof to justify the conclusion other than the order of events. Therefore, this line of reasoning is fallacious.

Post hoc fallacy and hasty generalisation fallacy are similar in that they both involve jumping to conclusions. However, there is a difference between the two:

• Post hoc fallacy is assuming a cause and effect relationship between two events, simply because one happened after the other.
• Hasty generalisation fallacy is drawing a general conclusion from a small sample or little evidence.

In other words, post hoc fallacy involves a leap to a causal claim; hasty generalisation fallacy involves a leap to a general proposition.

The fallacy of composition is similar to and can be confused with the hasty generalization fallacy . However, there is a difference between the two:

• The fallacy of composition involves drawing an inference about the characteristics of a whole or group based on the characteristics of its individual members.
• The hasty generalization fallacy involves drawing an inference about a population or class of things on the basis of few atypical instances or a small sample of that population or thing.

In other words, the fallacy of composition is using an unwarranted assumption that we can infer something about a whole based on the characteristics of its parts, while the hasty generalization fallacy is using insufficient evidence to draw a conclusion.

The opposite of the fallacy of composition is the fallacy of division . In the fallacy of division, the assumption is that a characteristic which applies to a whole or a group must necessarily apply to the parts or individual members. For example, “Australians travel a lot. Gary is Australian, so he must travel a lot.”

Base rate fallacy can be avoided by following these steps:

• Avoid making an important decision in haste. When we are under pressure, we are more likely to resort to cognitive shortcuts like the availability heuristic and the representativeness heuristic . Due to this, we are more likely to factor in only current and vivid information, and ignore the actual probability of something happening (i.e., base rate).
• Take a long-term view on the decision or question at hand. Look for relevant statistical data, which can reveal long-term trends and give you the full picture.
• Talk to experts like professionals. They are more aware of probabilities related to specific decisions.

Suppose there is a population consisting of 90% psychologists and 10% engineers. Given that you know someone enjoyed physics at school, you may conclude that they are an engineer rather than a psychologist, even though you know that this person comes from a population consisting of far more psychologists than engineers.

When we ignore the rate of occurrence of some trait in a population (the base-rate information) we commit base rate fallacy .

Cost-benefit fallacy is a common error that occurs when allocating sources in project management. It is the fallacy of assuming that cost-benefit estimates are more or less accurate, when in fact they are highly inaccurate and biased. This means that cost-benefit analyses can be useful, but only after the cost-benefit fallacy has been acknowledged and corrected for. Cost-benefit fallacy is a type of base rate fallacy .

In advertising, the fallacy of equivocation is often used to create a pun. For example, a billboard company might advertise their billboards using a line like: “Looking for a sign? This is it!” The word sign has a literal meaning as billboard and a figurative one as a sign from God, the universe, etc.

Equivocation is a fallacy because it is a form of argumentation that is both misleading and logically unsound. When the meaning of a word or phrase shifts in the course of an argument, it causes confusion and also implies that the conclusion (which may be true) does not follow from the premise.

The fallacy of equivocation is an informal logical fallacy, meaning that the error lies in the content of the argument instead of the structure.

Fallacies of relevance are a group of fallacies that occur in arguments when the premises are logically irrelevant to the conclusion. Although at first there seems to be a connection between the premise and the conclusion, in reality fallacies of relevance use unrelated forms of appeal.

For example, the genetic fallacy makes an appeal to the source or origin of the claim in an attempt to assert or refute something.

The ad hominem fallacy and the genetic fallacy are closely related in that they are both fallacies of relevance. In other words, they both involve arguments that use evidence or examples that are not logically related to the argument at hand. However, there is a difference between the two:

• In the ad hominem fallacy , the goal is to discredit the argument by discrediting the person currently making the argument.
• In the genetic fallacy , the goal is to discredit the argument by discrediting the history or origin (i.e., genesis) of an argument.

False dilemma fallacy is also known as false dichotomy, false binary, and “either-or” fallacy. It is the fallacy of presenting only two choices, outcomes, or sides to an argument as the only possibilities, when more are available.

The false dilemma fallacy works in two ways:

• By presenting only two options as if these were the only ones available
• By presenting two options as mutually exclusive (i.e., only one option can be selected or can be true at a time)

In both cases, by using the false dilemma fallacy, one conceals alternative choices and doesn’t allow others to consider the full range of options. This is usually achieved through an“either-or” construction and polarised, divisive language (“you are either a friend or an enemy”).

The best way to avoid a false dilemma fallacy is to pause and reflect on two points:

• Are the options presented truly the only ones available ? It could be that another option has been deliberately omitted.
• Are the options mentioned mutually exclusive ? Perhaps all of the available options can be selected (or be true) at the same time, which shows that they aren’t mutually exclusive. Proving this is called “escaping between the horns of the dilemma.”

Begging the question fallacy is an argument in which you assume what you are trying to prove. In other words, your position and the justification of that position are the same, only slightly rephrased.

For example: “All freshmen should attend college orientation, because all college students should go to such an orientation.”

The complex question fallacy and begging the question fallacy are similar in that they are both based on assumptions. However, there is a difference between them:

• A complex question fallacy occurs when someone asks a question that presupposes the answer to another question that has not been established or accepted by the other person. For example, asking someone “Have you stopped cheating on tests?”, unless it has previously been established that the person is indeed cheating on tests, is a fallacy.
• Begging the question fallacy occurs when we assume the very thing as a premise that we’re trying to prove in our conclusion. In other words, the conclusion is used to support the premises, and the premises prove the validity of the conclusion. For example: “God exists because the Bible says so, and the Bible is true because it is the word of God.”

In other words, begging the question is about drawing a conclusion based on an assumption, while a complex question involves asking a question that presupposes the answer to a prior question.

“ No true Scotsman ” arguments aren’t always fallacious. When there is a generally accepted definition of who or what constitutes a group, it’s reasonable to use statements in the form of “no true Scotsman”.

For example, the statement that “no true pacifist would volunteer for military service” is not fallacious, since a pacifist is, by definition, someone who opposes war or violence as a means of settling disputes.

No true Scotsman arguments are fallacious because instead of logically refuting the counterexample, they simply assert that it doesn’t count. In other words, the counterexample is rejected for psychological, but not logical, reasons.

The appeal to purity or no true Scotsman fallacy is an attempt to defend a generalisation about a group from a counterexample by shifting the definition of the group in the middle of the argument. In this way, one can exclude the counterexample as not being “true”, “genuine”, or “pure” enough to be considered as part of the group in question.

To identify an appeal to authority fallacy , you can ask yourself the following questions:

• Is the authority cited really a qualified expert in this particular area under discussion? For example, someone who has formal education or years of experience can be an expert.
• Do experts disagree on this particular subject? If that is the case, then for almost any claim supported by one expert there will be a counterclaim that is supported by another expert. If there is no consensus, an appeal to authority is fallacious.
• Is the authority in question biased? If you suspect that an expert’s prejudice and bias could have influenced their views, then the expert is not reliable and an argument citing this expert will be fallacious.To identify an appeal to authority fallacy, you ask yourself whether the authority cited is a qualified expert in the particular area under discussion.

Appeal to authority is a fallacy when those who use it do not provide any justification to support their argument. Instead they cite someone famous who agrees with their viewpoint, but is not qualified to make reliable claims on the subject.

Appeal to authority fallacy is often convincing because of the effect authority figures have on us. When someone cites a famous person, a well-known scientist, a politician, etc. people tend to be distracted and often fail to critically examine whether the authority figure is indeed an expert in the area under discussion.

The ad populum fallacy is common in politics. One example is the following viewpoint: “The majority of our countrymen think we should have military operations overseas; therefore, it’s the right thing to do.”

This line of reasoning is fallacious, because popular acceptance of a belief or position does not amount to a justification of that belief. In other words, following the prevailing opinion without examining the underlying reasons is irrational.

The ad populum fallacy plays on our innate desire to fit in (known as “bandwagon effect”). If many people believe something, our common sense tells us that it must be true and we tend to accept it. However, in logic, the popularity of a proposition cannot serve as evidence of its truthfulness.

Ad populum (or appeal to popularity) fallacy and appeal to authority fallacy are similar in that they both conflate the validity of a belief with its popular acceptance among a specific group. However there is a key difference between the two:

• An ad populum fallacy tries to persuade others by claiming that something is true or right because a lot of people think so.
• An appeal to authority fallacy tries to persuade by claiming a group of experts believe something is true or right, therefore it must be so.

To identify a false cause fallacy , you need to carefully analyse the argument:

• When someone claims that one event directly causes another, ask if there is sufficient evidence to establish a cause-and-effect relationship. 
• Ask if the claim is based merely on the chronological order or co-occurrence of the two events. 
• Consider alternative possible explanations (are there other factors at play that could influence the outcome?).

By carefully analysing the reasoning, considering alternative explanations, and examining the evidence provided, you can identify a false cause fallacy and discern whether a causal claim is valid or flawed.

False cause fallacy examples include: 

• Believing that wearing your lucky jersey will help your team win 
• Thinking that everytime you wash your car, it rains
• Claiming that playing video games causes violent behavior 

In each of these examples, we falsely assume that one event causes another without any proof.

The planning fallacy and procrastination are not the same thing. Although they both relate to time and task management, they describe different challenges:

• The planning fallacy describes our inability to correctly estimate how long a future task will take, mainly due to optimism bias and a strong focus on the best-case scenario.
• Procrastination refers to postponing a task, usually by focusing on less urgent or more enjoyable activities. This is due to psychological reasons, like fear of failure.

In other words, the planning fallacy refers to inaccurate predictions about the time we need to finish a task, while procrastination is a deliberate delay due to psychological factors.

A real-life example of the planning fallacy is the construction of the Sydney Opera House in Australia. When construction began in the late 1950s, it was initially estimated that it would be completed in four years at a cost of around $7 million.

Because the government wanted the construction to start before political opposition would stop it and while public opinion was still favorable, a number of design issues had not been carefully studied in advance. Due to this, several problems appeared immediately after the project commenced.

The construction process eventually stretched over 14 years, with the Opera House being completed in 1973 at a cost of over $100 million, significantly exceeding the initial estimates.

An example of appeal to pity fallacy is the following appeal by a student to their professor:

“Professor, please consider raising my grade. I had a terrible semester: my car broke down, my laptop got stolen, and my cat got sick.”

While these circumstances may be unfortunate, they are not directly related to the student’s academic performance.

While both the appeal to pity fallacy and   red herring fallacy can serve as a distraction from the original discussion topic, they are distinct fallacies. More specifically:

• Appeal to pity fallacy attempts to evoke feelings of sympathy, pity, or guilt in an audience, so that they accept the speaker’s conclusion as truthful.
• Red herring fallacy attempts to introduce an irrelevant piece of information that diverts the audience’s attention to a different topic.

Both fallacies can be used as a tool of deception. However, they operate differently and serve distinct purposes in arguments.

Argumentum ad misericordiam (Latin for “argument from pity or misery”) is another name for appeal to pity fallacy . It occurs when someone evokes sympathy or guilt in an attempt to gain support for their claim, without providing any logical reasons to support the claim itself. Appeal to pity is a deceptive tactic of argumentation, playing on people’s emotions to sway their opinion.

Yes, it’s quite common to start a sentence with a preposition, and there’s no reason not to do so.

For example, the sentence “ To many, she was a hero” is perfectly grammatical. It could also be rephrased as “She was a hero to  many”, but there’s no particular reason to do so. Both versions are fine.

Some people argue that you shouldn’t end a sentence with a preposition , but that “rule” can also be ignored, since it’s not supported by serious language authorities.

Yes, it’s fine to end a sentence with a preposition . The “rule” against doing so is overwhelmingly rejected by modern style guides and language authorities and is based on the rules of Latin grammar, not English.

Trying to avoid ending a sentence with a preposition often results in very unnatural phrasings. For example, turning “He knows what he’s talking about ” into “He knows about what he’s talking” or “He knows that about which he’s talking” is definitely not an improvement.

No, ChatGPT is not a credible source of factual information and can’t be cited for this purpose in academic writing . While it tries to provide accurate answers, it often gets things wrong because its responses are based on patterns, not facts and data.

Specifically, the CRAAP test for evaluating sources includes five criteria: currency , relevance , authority , accuracy , and purpose . ChatGPT fails to meet at least three of them:

• Currency: The dataset that ChatGPT was trained on only extends to 2021, making it slightly outdated.
• Authority: It’s just a language model and is not considered a trustworthy source of factual information.
• Accuracy: It bases its responses on patterns rather than evidence and is unable to cite its sources .

So you shouldn’t cite ChatGPT as a trustworthy source for a factual claim. You might still cite ChatGPT for other reasons – for example, if you’re writing a paper about AI language models, ChatGPT responses are a relevant primary source .

ChatGPT is an AI language model that was trained on a large body of text from a variety of sources (e.g., Wikipedia, books, news articles, scientific journals). The dataset only went up to 2021, meaning that it lacks information on more recent events.

It’s also important to understand that ChatGPT doesn’t access a database of facts to answer your questions. Instead, its responses are based on patterns that it saw in the training data.

So ChatGPT is not always trustworthy . It can usually answer general knowledge questions accurately, but it can easily give misleading answers on more specialist topics.

Another consequence of this way of generating responses is that ChatGPT usually can’t cite its sources accurately. It doesn’t really know what source it’s basing any specific claim on. It’s best to check any information you get from it against a credible source .

No, it is not possible to cite your sources with ChatGPT . You can ask it to create citations, but it isn’t designed for this task and tends to make up sources that don’t exist or present information in the wrong format. ChatGPT also cannot add citations to direct quotes in your text.

Instead, use a tool designed for this purpose, like the Scribbr Citation Generator .

But you can use ChatGPT for assignments in other ways, to provide inspiration, feedback, and general writing advice.

GPT  stands for “generative pre-trained transformer”, which is a type of large language model: a neural network trained on a very large amount of text to produce convincing, human-like language outputs. The Chat part of the name just means “chat”: ChatGPT is a chatbot that you interact with by typing in text.

The technology behind ChatGPT is GPT-3.5 (in the free version) or GPT-4 (in the premium version). These are the names for the specific versions of the GPT model. GPT-4 is currently the most advanced model that OpenAI has created. It’s also the model used in Bing’s chatbot feature.

ChatGPT was created by OpenAI, an AI research company. It started as a nonprofit company in 2015 but became for-profit in 2019. Its CEO is Sam Altman, who also co-founded the company. OpenAI released ChatGPT as a free “research preview” in November 2022. Currently, it’s still available for free, although a more advanced premium version is available if you pay for it.

OpenAI is also known for developing DALL-E, an AI image generator that runs on similar technology to ChatGPT.

ChatGPT is owned by OpenAI, the company that developed and released it. OpenAI is a company dedicated to AI research. It started as a nonprofit company in 2015 but transitioned to for-profit in 2019. Its current CEO is Sam Altman, who also co-founded the company.

In terms of who owns the content generated by ChatGPT, OpenAI states that it will not claim copyright on this content , and the terms of use state that “you can use Content for any purpose, including commercial purposes such as sale or publication”. This means that you effectively own any content you generate with ChatGPT and can use it for your own purposes.

Be cautious about how you use ChatGPT content in an academic context. University policies on AI writing are still developing, so even if you “own” the content, you’re often not allowed to submit it as your own work according to your university or to publish it in a journal.

ChatGPT is a chatbot based on a large language model (LLM). These models are trained on huge datasets consisting of hundreds of billions of words of text, based on which the model learns to effectively predict natural responses to the prompts you enter.

ChatGPT was also refined through a process called reinforcement learning from human feedback (RLHF), which involves “rewarding” the model for providing useful answers and discouraging inappropriate answers – encouraging it to make fewer mistakes.

Essentially, ChatGPT’s answers are based on predicting the most likely responses to your inputs based on its training data, with a reward system on top of this to incentivise it to give you the most helpful answers possible. It’s a bit like an incredibly advanced version of predictive text. This is also one of ChatGPT’s limitations : because its answers are based on probabilities, they’re not always trustworthy .

OpenAI may store ChatGPT conversations for the purposes of future training. Additionally, these conversations may be monitored by human AI trainers.

Users can choose not to have their chat history saved. Unsaved chats are not used to train future models and are permanently deleted from ChatGPT’s system after 30 days.

The official ChatGPT app is currently only available on iOS devices. If you don’t have an iOS device, only use the official OpenAI website to access the tool. This helps to eliminate the potential risk of downloading fraudulent or malicious software.

ChatGPT conversations are generally used to train future models and to resolve issues/bugs. These chats may be monitored by human AI trainers.

However, users can opt out of having their conversations used for training. In these instances, chats are monitored only for potential abuse.

Yes, using ChatGPT as a conversation partner is a great way to practice a language in an interactive way.

Try using a prompt like this one:

“Please be my Spanish conversation partner. Only speak to me in Spanish. Keep your answers short (maximum 50 words). Ask me questions. Let’s start the conversation with the following topic: [conversation topic].”

Yes, there are a variety of ways to use ChatGPT for language learning , including treating it as a conversation partner, asking it for translations, and using it to generate a curriculum or practice exercises.

AI detectors aim to identify the presence of AI-generated text (e.g., from ChatGPT ) in a piece of writing, but they can’t do so with complete accuracy. In our comparison of the best AI detectors , we found that the 10 tools we tested had an average accuracy of 60%. The best free tool had 68% accuracy, the best premium tool 84%.

Because of how AI detectors work , they can never guarantee 100% accuracy, and there is always at least a small risk of false positives (human text being marked as AI-generated). Therefore, these tools should not be relied upon to provide absolute proof that a text is or isn’t AI-generated. Rather, they can provide a good indication in combination with other evidence.

Tools called AI detectors are designed to label text as AI-generated or human. AI detectors work by looking for specific characteristics in the text, such as a low level of randomness in word choice and sentence length. These characteristics are typical of AI writing, allowing the detector to make a good guess at when text is AI-generated.

But these tools can’t guarantee 100% accuracy. Check out our comparison of the best AI detectors to learn more.

You can also manually watch for clues that a text is AI-generated – for example, a very different style from the writer’s usual voice or a generic, overly polite tone.

Our research into the best summary generators (aka summarisers or summarising tools) found that the best summariser available in 2023 is the one offered by QuillBot.

While many summarisers just pick out some sentences from the text, QuillBot generates original summaries that are creative, clear, accurate, and concise. It can summarise texts of up to 1,200 words for free, or up to 6,000 with a premium subscription.

Try the QuillBot summarizer for free

Deep learning requires a large dataset (e.g., images or text) to learn from. The more diverse and representative the data, the better the model will learn to recognise objects or make predictions. Only when the training data is sufficiently varied can the model make accurate predictions or recognise objects from new data.

Deep learning models can be biased in their predictions if the training data consist of biased information. For example, if a deep learning model used for screening job applicants has been trained with a dataset consisting primarily of white male applicants, it will consistently favour this specific population over others.

A good ChatGPT prompt (i.e., one that will get you the kinds of responses you want):

• Gives the tool a role to explain what type of answer you expect from it
• Is precisely formulated and gives enough context
• Is free from bias
• Has been tested and improved by experimenting with the tool

ChatGPT prompts are the textual inputs (e.g., questions, instructions) that you enter into ChatGPT to get responses.

ChatGPT predicts an appropriate response to the prompt you entered. In general, a more specific and carefully worded prompt will get you better responses.

Yes, ChatGPT is currently available for free. You have to sign up for a free account to use the tool, and you should be aware that your data may be collected to train future versions of the model.

To sign up and use the tool for free, go to this page and click “Sign up”. You can do so with your email or with a Google account.

A premium version of the tool called ChatGPT Plus is available as a monthly subscription. It currently costs £16 and gets you access to features like GPT-4 (a more advanced version of the language model). But it’s optional: you can use the tool completely free if you’re not interested in the extra features.

You can access ChatGPT by signing up for a free account:

• Follow this link to the ChatGPT website.
• Click on “Sign up” and fill in the necessary details (or use your Google account). It’s free to sign up and use the tool.
• Type a prompt into the chat box to get started!

A ChatGPT app is also available for iOS, and an Android app is planned for the future. The app works similarly to the website, and you log in with the same account for both.

According to OpenAI’s terms of use, users have the right to reproduce text generated by ChatGPT during conversations.

However, publishing ChatGPT outputs may have legal implications , such as copyright infringement.

Users should be aware of such issues and use ChatGPT outputs as a source of inspiration instead.

According to OpenAI’s terms of use, users have the right to use outputs from their own ChatGPT conversations for any purpose (including commercial publication).

However, users should be aware of the potential legal implications of publishing ChatGPT outputs. ChatGPT responses are not always unique: different users may receive the same response.

Furthermore, ChatGPT outputs may contain copyrighted material. Users may be liable if they reproduce such material.

ChatGPT can sometimes reproduce biases from its training data , since it draws on the text it has “seen” to create plausible responses to your prompts.

For example, users have shown that it sometimes makes sexist assumptions such as that a doctor mentioned in a prompt must be a man rather than a woman. Some have also pointed out political bias in terms of which political figures the tool is willing to write positively or negatively about and which requests it refuses.

The tool is unlikely to be consistently biased toward a particular perspective or against a particular group. Rather, its responses are based on its training data and on the way you phrase your ChatGPT prompts . It’s sensitive to phrasing, so asking it the same question in different ways will result in quite different answers.

Information extraction  refers to the process of starting from unstructured sources (e.g., text documents written in ordinary English) and automatically extracting structured information (i.e., data in a clearly defined format that’s easily understood by computers). It’s an important concept in natural language processing (NLP) .

For example, you might think of using news articles full of celebrity gossip to automatically create a database of the relationships between the celebrities mentioned (e.g., married, dating, divorced, feuding). You would end up with data in a structured format, something like MarriageBetween(celebrity 1 ,celebrity 2 ,date) .

The challenge involves developing systems that can “understand” the text well enough to extract this kind of data from it.

Knowledge representation and reasoning (KRR) is the study of how to represent information about the world in a form that can be used by a computer system to solve and reason about complex problems. It is an important field of artificial intelligence (AI) research.

An example of a KRR application is a semantic network, a way of grouping words or concepts by how closely related they are and formally defining the relationships between them so that a machine can “understand” language in something like the way people do.

A related concept is information extraction , concerned with how to get structured information from unstructured sources.

Yes, you can use ChatGPT to summarise text . This can help you understand complex information more easily, summarise the central argument of your own paper, or clarify your research question.

You can also use Scribbr’s free text summariser , which is designed specifically for this purpose.

Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.

However, it’s not specifically designed for this purpose. We recommend using a specialised tool like Scribbr’s free paraphrasing tool , which will provide a smoother user experience.

Yes, you use ChatGPT to help write your college essay by having it generate feedback on certain aspects of your work (consistency of tone, clarity of structure, etc.).

However, ChatGPT is not able to adequately judge qualities like vulnerability and authenticity. For this reason, it’s important to also ask for feedback from people who have experience with college essays and who know you well. Alternatively, you can get advice using Scribbr’s essay editing service .

No, having ChatGPT write your college essay can negatively impact your application in numerous ways. ChatGPT outputs are unoriginal and lack personal insight.

Furthermore, Passing off AI-generated text as your own work is considered academically dishonest . AI detectors may be used to detect this offense, and it’s highly unlikely that any university will accept you if you are caught submitting an AI-generated admission essay.

However, you can use ChatGPT to help write your college essay during the preparation and revision stages (e.g., for brainstorming ideas and generating feedback).

ChatGPT and other AI writing tools can have unethical uses. These include:

• Reproducing biases and false information
• Using ChatGPT to cheat in academic contexts
• Violating the privacy of others by inputting personal information

However, when used correctly, AI writing tools can be helpful resources for improving your academic writing and research skills. Some ways to use ChatGPT ethically include:

• Following your institution’s guidelines
• Critically evaluating outputs
• Being transparent about how you used the tool

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How does the sample edit work?

You will receive the sample edit within 24 hours after placing your order. You then have 24 hours to let us know if you’re happy with the sample or if there’s something you would like the editor to do differently.

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• You send us your text as soon as possible and
• You can be flexible about the deadline.

Please note that the shorter your deadline is, the lower the chance that your previous editor is not available.

If your previous editor isn’t available, then we will inform you immediately and look for another qualified editor. Fear not! Every Scribbr editor follows the  Scribbr Improvement Model  and will deliver high-quality work.

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Because we have many editors available, we can check your document 24 hours per day and 7 days per week, all year round.

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This means that your editor will understand your text well enough to give feedback on its clarity, logic and structure, but not on the accuracy or originality of its content.

Good academic writing should be understandable to a non-expert reader, and we believe that academic editing is a discipline in itself. The research, ideas and arguments are all yours – we’re here to make sure they shine!

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• You can learn a lot by looking at the mistakes you made.
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Complete Guide to Writing an MBA Dissertation

MBA dissertation writing  is a combination of art and craft. On the one hand, university committees usually base their appraisals on the novelty of your topic, the interesting choice of study participants, and the practical contribution of your research. These are the things that make or break dissertation projects and should be your key focus with writing your work. On the other hand, the devil is in the detail and we have seen many students lose valuable points or going through multiple re-writes due to missing some important elements related to submission requirements or format requirements. When you have invested months of hard work in a single endeavour, you may feel tired, absent-minded, and willing to get over it as soon as possible. The key to overcoming this ‘last mile’ barrier is to use a clearly structured plan to be 100% sure that no critical elements have been missed.    

The following dissertation check-list covers all key aspects you need to inspect to leave no room for failure. It covers all your journey starting from choosing a topic to developing a final presentation for your thesis defence. Feel free to head straight to the section that is of highest relevance to the dissertation writing phase you are presently at.

Starting an MBA Dissertation

The best way to avoid problems is to prevent their emergence right from the start. An MBA dissertation project is usually a large-scale endeavour spanning over many months and requiring a lot of time and other resources to complete. Starting it without a plan is an academic suicide, which is confirmed by relatively high failure rates in this sphere. If we rephrase this idea in a positive light, writing a dissertation should be the pinnacle of your academic journey as an MBA student. Hence, you need to design an optimal plan for maximising your ‘return on investment’ ratio. Anyone can complete an MBA dissertation by disrupting their work/live balance and throwing oneself at this challenge. The trick is to achieve similar results without burning out and wasting a lot of unnecessary resources on the things that do not contribute to the end result.

In this section, we will analyse several aspects of such planning that can literally save you from weeks of frustrating rewrites and sub-optimal academic outcomes. Some of these recommendations may be related to your personal skills and competencies while others may be associated with your external activities and university arrangements. While you may choose to skip some of them due to your personal preferences, their simultaneous use creates a synergistic effect ensuring your future success as a dissertation writer. There are few things more frustrating than having to alter some of your main structural elements in the middle of your project while missing some intermediary deadlines as a result. A good beginning is half the battle, which is why you may opt for investing several weeks into the elements in this section to have a seamless academic journey afterwards.

MBA Dissertation Topics Selection

Choosing a research topic is, perhaps, the most important decision that can be made by any student starting their dissertation journey. An MBA project may involve a wide range of possible spheres to explore, which frequently creates a false sense of confidence. However, amateur dissertation writers easily overlook a number of crucial elements such as:

• Supervisor’s knowledge of a particular sphere.
• Supervisor’s willingness to explore certain topics.
• Your capability to reach specific audiences and collect primary data.
• The amount of resources you can spend on this project.
• The presence of competing projects in the same field.

Selecting a suitable MBA dissertation topic is a challenging task even for experienced dissertation writers since there are multiple concepts and spheres that are worth exploring. The best tactic is to look for multiple ideas in order to have several alternative options by the moment you choose to confirm one of them with your supervisor. Research available academic journals, course materials, newspapers and other media to prepare a short list of what topics you find meaningful and engaging.

Next, take your time deciding whether it is important enough to tackle and what will be the focus of your research. Although it may seem irrelevant at this stage, you should also think of appropriate methods. This practice can save you from a world of trouble down the road as many students identify that their topic is not manageable from a methodological standpoint in the middle of their dissertation-writing project.

As soon as you have a list of 3-5 topics, you may choose to discuss them with:

• Potential supervisors.
• Dissertation writing experts.
• Academic practitioners.
• Fellow students.

These extra opinions can really help you narrow down your topic focus or prioritise some of the options on your list. The presence of multiple opportunities also allows you to negotiate with your prospective supervisors and ensure that you both find a certain ideas interesting for research.

Check the Requirements of your MBA Dissertation

While this recommendation may seem obvious, we have seen many students losing their hard-earned marks due to some silly mistakes related to formatting and referencing rules or incorrect word count distribution between the sections. These issues usually do not lead to a complete fail but may be highly detrimental if you want to write a first-class MBA dissertation. Here is how you can prevent such problems right from the start:

• Make sure to study all module handbooks and ethics protocols provided by your university.
• Take a look at format requirements such as font types and sizes, page margins and referencing style.
• Make a list of key recommendations and insert the section word count in the headings of all MBA dissertation
• Mark all potentially ambiguous requirements and clarify them with your supervisor before starting your writing process.

If you choose to follow a single rule from this section, this is the one to prioritise. Remember that the devil is in the detail and what may seem trivial at first sight can have a strong impact on the overall quality of your dissertation in the end. There is nothing worse than losing some points due to formatting mistakes or other minor errors that could have been omitted with 5 minutes spent on compiling the aforementioned lists of requirements.

Select Your Research Methods

Your MBA dissertation can proceed via multiple routes depending on a number of factors:

• Your preference for secondary (desk research) or primary (interviews/surveys/observations) research strategies.
• The selected problems and the data necessary for answering your dissertation questions.
• Your focus on unique industry experts or large samples of non-unique population members.
• The resources available to you/
• Respondent availability and accessibility.

As soon as you have a realistic MBA dissertation topic, you need to also develop your research aim, objectives, and questions and think about the ways to address them. This understanding is crucial for further discussions with your supervisor and the development of your proposal.

Finalise Your MBA Dissertation Structure

Most MBA projects have common structures, which allows you to plan their completion in advance. Here is a list of common elements you should include in most dissertation scenarios.

• Executive Summary
• Introduction
• Dissertation Hypotheses
• Methodology
• Conclusions
• Recommendations
• Reference List

Make sure that your structure is in line with your university requirements and write down specific word count distribution per section. As discussed below, you do not need to complete all sections while creating your first draft. Specifically, your Executive Summary, Introduction, and Conclusion may be delayed until the revision phase to make them more specific in relation to the results you obtain.

Develop a Plan

Any previously submitted dissertation proposal usually involves a Gantt chart outlining how you are going to spend the following weeks and months working on your MBA dissertation project. While many students tend to write some approximate dates in this document in a random manner, we would advise you to treat it seriously. Actually, we would suggest that you should take it one step further:

• Write a list of dissertation sections you have to create.
• Make a list of smaller objectives you have to complete to finish each one.
• Write down approximate duration of specific activities and the resources you need.
• Discuss the final plan with your supervisor or a professional dissertation writing service.

A good plan is your safety belt. You may not need it at all times but it can save your life in a critical situation by keeping you on track. Developing such document also ensures that you are fully aware of all aspects of dissertation-writing before you even start. Down the road, this allows you to focus on the most crucial parts and not waste your time on refining the elements that do not contribute much to the final result.

Find the Right Supervisor

Having the right supervisor can give you a great advantage in writing your dissertation. If there is a choice, consider someone who has a reputation for getting students through. You should select the most academically and socially engaged supervisor who really pays attention to the requirements for the degree, clearly understands the process, and can provide you with the right advice. If you struggle to understand your tutor and still have questions about the dissertation writing process, don’t be shy to apply for our tutoring service. Some supervisors simply don’t have enough time to give a quality consultation to each student.

Have a Plan B

The best way to avoid contingencies is to accept the possibility of their emergence. Here is a list of risk management strategies that will protect you from harm even in the worst-case scenario:

• Investigate how your university handles extensions in the case of submission delays or personal barriers to a timely completion of MBA dissertations.
• Explore whether you can change your supervisor in the middle of your research project.
• Find a reliable dissertation writing service that can give you a second opinion in a complex situation.

If we could provide a single recommendation on how to write your dissertation, we would suggest that you should thoroughly plan it from the onset. A well-designed research project is a self-fulfilling prophecy that virtually writes itself into existence. You start with a well-designed and unique topic that is supported by realistic and measurable objectives that can be addressed with convenient and reliable methodological instruments. It still takes time and effort but the amount of back-and-forth is rather small and you can easily plan your dissertation work and seamlessly integrate it into your personal life without major conflicts. Many students reverse this order and start with writing some sections of their projects while revising their research objectives or adjusting their topic along the way. This strategy is clearly sub-optimal and will never result in a coherent study with a clearly outlined main argument. Hence, your primary goal is to seek professional guidance and lay this foundation right. 15 Writers team are happy to offer help with dissertation writing and share our know-how in achieving top marks. Don’t hesitate to check our sample dissertations to make sure we provide the best academic service. You can start with a dissertation proposal to avoid the risk of ordering a full project at once.

Rolling Up Your Sleeves: Writing the First Draft

The next checklist allows you to create a ‘rough draft’ of your MBA dissertation. Aim for 80% of the word count per section and address all key requirements found earlier. The goal of this phase is to get you ‘almost there’ in terms of your readiness but leave some space for further revisions and additions. There are multiple reasons for pursuing this strategy, namely:

• You simply cannot get everything right at the first attempt. Most likely, further revisions will add new insights, links, and ideas.
• Writing an effective Introduction or Conclusion section usually requires a finished work to integrate signposting elements and directly refer to your findings.
• An almost completed draft leaves enough space to embed an overarching line of argument, which is why we reserve some space for such additions.
• You may choose to move some parts of your text to the Appendices during further revisions or otherwise adjust your initial work.

The following points should help you create an ‘80% draft’ that should get you a ‘pass’ mark with minimal revisions even in the worst-case scenario. As noted earlier, we will improve it during the following phase of your MBA dissertation writing process.

• Make sure that all essential sections of the work are included. These are Abstract, Acknowledgements, Table of Contents, Lists of Tables and Figures, Introduction, Literature Review, Methodology, Analysis and Findings, Conclusion, List of References, and Appendix.
• Your Literature Review must clearly outline the key theories you rely on and present the conceptual framework of your study. You may want to revise its contents to better align them with the overall course of your dissertation.
• Including a table of key theories and authors at the end of your Literature Review may be a good idea for improving readability. It also makes referring to them easier when you are writing your Discussion chapter.
• The Methodology section must have a table of variables for a quantitative study and a clear description of all utilised methods and instruments.
• Make sure that you have discussed all threats to validity and reliability.
• Your analysis process must be clearly defined. Ideally, any other researcher in your field must be able to follow it and obtain similar results.
• The Analysis chapter must include all key figures and tables presenting your results.
• The Discussion should refer to all critical sources and theories from your Literature Review.
• The Conclusion and Recommendations section must revise your objectives and clearly demonstrate how you addressed them.
• All tables and figures should have headings and be referred to in the main text. Also, if they were taken from other sources, these sources should be mentioned below the tables and figures, as well as in the reference list.

Moving On: Revising Your Draft

As soon as you have finished writing your first draft, you need to complete two separate tasks. On the one hand, you have to thoroughly proof-read and edit it in order to identify some missing elements and improve its overall quality. This part primarily refers to the revision of your main sections and may involve ‘going back to the drawing board’ if some crucial sections must be improved or replaced. Usually, such problems are associated with the coherence of your main argument across all chapters and the quality of your Analysis chapter.

On the other hand, your final dissertation draft must include a number of auxiliary sections such as the Abstract, the Acknowledgements, Appendices, informed consent forms, ethics forms, and other obligatory parts. During this phase, we need to add them to your document and appraise what additional elements can be added to improve the readability of your work.

• The Abstract is usually the first part of the dissertation which is placed before the table of contents but is written last. The abstract is a short overview of the whole dissertation which provides the very gist of the research and its main outcomes.
• The Acknowledgements are also written after finishing the main text of the thesis so that you could have a chance to acknowledge those who helped you in your research or supervision.
• When writing Acknowledgements, common courtesy is to express gratitude to your tutor, the members of the committee, your faculty, and any other people who helped you with writing your work.
• If necessary, provide a list of Acronyms and/or Definitions before your main body to facilitate readability.
• The Introduction chapter shows the relevance of the topic, the background, formulates the  aim and objectives  and shows your MBA dissertation structure. You may want to revise it after completing the dissertation to make it more specific and enticing to the readers.
• The Conclusion summarises the work by showing whether the aim and objectives were attained in the study. Make sure that all of them are discussed with reference to your results and prior studies.
• Add signposting wherever possible to make your dissertation more articulate even for non-specialists.
• To write a 1 st  standard dissertation, you should outline the key contributions to academics and practitioners.
• Discuss all key limitations of your project in detail.
• Make sure that you have all signed informed consent forms necessary to confirm your compliance with the ethical standards of your institution.

Finishing Your MBA Dissertation

The final inspection should explore all aspects that need to be considered prior to submitting your dissertation. It will be most valuable when you have already completed your document draft and are preparing it for final submission. The recommendations in the check-list address all key parts of dissertation projects. However, you should also revise your dissertation requirements since some universities have custom requirements in terms of submission procedures, referencing styles, document formatting, and the use of visual materials and appendices. Overall, this process can be subdivided into two parts.

Content Revision

This part needs to ensure that your draft meets all applicable requirements in terms of its grammar, style, section contents, and other constituent elements.

• The main chapters of the thesis expose in detail what is done in the study and how it is done. The narrative should be logical and consistent, critical and without mistakes.
• The text of the thesis should be formatted according to the requirements of the university; make sure that each page, as well as each table and figure, is numbered.
• Check if the Reference list includes all sources mentioned in the text and is consistent in style through the work.
• Make sure that all of your figures and tables are properly referenced.
• Make sure that your Appendices contain all relevant elements such as questionnaire forms, informed consent forms, additional figures, and interview transcirpts.
• Read your dissertation from the beginning to the end in one sitting. Your text should lay out a clear line of argument following a consistent flow at the level of sentences, paragraphs, and sections.
• Check the word count for all sections if it is specified by your university requirements.
• Proofread all text and format spacing and font consistently. Use both electronic and printed copies to avoid the ‘bleary eyes’ effect.
• Check your title page and its formatting.
• Analyse your implications for practice and make sure that you have suggested sufficient examples of how your dissertation findings may be valuable to industry practitioners.
• Suggest future research directions and clearly outline how your fellow researchers can expand your analysis and address its limitations and knowledge gaps.

Technical Aspects

This final part of the checklist ensures that your dissertation is fine from a technical standpoint. While problems of this kind are relatively rare, having a backup plan for such circumstances may not be a bad thing.

• Try to open your dissertation file on several computers before submission. This will allow you to identify any bugs or compatibility problems.
• If possible, submit the document in PDF. This will ensure its integrity and compatibility with most computer systems. Traditional file formats such as .doc or .docx in Microsoft Office may introduce formatting problems if the software version of the reviewers is different from the one used by you.
• Check if all figures in your document are embedded JPG or PNG files. Avoid using cross-referenced elements in submitted work.
• Write the necessary declarations such as the statement confirming that you are submitting this dissertation paper for the first time and other applicable documents required by your university.
• Leave at least three days for binding your dissertation to reserve the time for any page replacements or similar changes.
• Make sure that the document was uploaded successfully and received by your university.
• Use the spare time to prepare for your future defence.

If you struggle with any of the aforementioned elements of MBA dissertation writing, you can use our website to get MBA dissertation help, browse through some MBA dissertation examples or explore our sample MBA dissertation topics. Our academic writers are a team of industry professionals that have supervised hundreds of projects in this sphere in the past. We offer 100% satisfaction guarantees for all of our services including dissertation writing, essay writing, and assignment help. You can also order individual elements such as MBA project topics or individual chapters. We may assist you with any part of your dissertation you presently struggle with or offer a second opinion to appraise whether your current choices are suitable for writing a 1 st standard dissertation.

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Prize-Winning Thesis and Dissertation Examples

Published on September 9, 2022 by Tegan George . Revised on July 18, 2023.

It can be difficult to know where to start when writing your thesis or dissertation . One way to come up with some ideas or maybe even combat writer’s block is to check out previous work done by other students on a similar thesis or dissertation topic to yours.

This article collects a list of undergraduate, master’s, and PhD theses and dissertations that have won prizes for their high-quality research.

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Table of contents

Award-winning undergraduate theses, award-winning master’s theses, award-winning ph.d. dissertations, other interesting articles.

University : University of Pennsylvania Faculty : History Author : Suchait Kahlon Award : 2021 Hilary Conroy Prize for Best Honors Thesis in World History Title : “Abolition, Africans, and Abstraction: the Influence of the “Noble Savage” on British and French Antislavery Thought, 1787-1807”

University : Columbia University Faculty : History Author : Julien Saint Reiman Award : 2018 Charles A. Beard Senior Thesis Prize Title : “A Starving Man Helping Another Starving Man”: UNRRA, India, and the Genesis of Global Relief, 1943-1947

University: University College London Faculty: Geography Author: Anna Knowles-Smith Award:  2017 Royal Geographical Society Undergraduate Dissertation Prize Title:  Refugees and theatre: an exploration of the basis of self-representation

University: University of Washington Faculty:  Computer Science & Engineering Author: Nick J. Martindell Award: 2014 Best Senior Thesis Award Title:  DCDN: Distributed content delivery for the modern web

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University:  University of Edinburgh Faculty:  Informatics Author:  Christopher Sipola Award:  2018 Social Responsibility & Sustainability Dissertation Prize Title:  Summarizing electricity usage with a neural network

University:  University of Ottawa Faculty:  Education Author:  Matthew Brillinger Award:  2017 Commission on Graduate Studies in the Humanities Prize Title:  Educational Park Planning in Berkeley, California, 1965-1968

University:  University of Ottawa Faculty: Social Sciences Author:  Heather Martin Award:  2015 Joseph De Koninck Prize Title:  An Analysis of Sexual Assault Support Services for Women who have a Developmental Disability

University : University of Ottawa Faculty : Physics Author : Guillaume Thekkadath Award : 2017 Commission on Graduate Studies in the Sciences Prize Title : Joint measurements of complementary properties of quantum systems

University:  London School of Economics Faculty: International Development Author: Lajos Kossuth Award:  2016 Winner of the Prize for Best Overall Performance Title:  Shiny Happy People: A study of the effects income relative to a reference group exerts on life satisfaction

University : Stanford University Faculty : English Author : Nathan Wainstein Award : 2021 Alden Prize Title : “Unformed Art: Bad Writing in the Modernist Novel”

University : University of Massachusetts at Amherst Faculty : Molecular and Cellular Biology Author : Nils Pilotte Award : 2021 Byron Prize for Best Ph.D. Dissertation Title : “Improved Molecular Diagnostics for Soil-Transmitted Molecular Diagnostics for Soil-Transmitted Helminths”

University:  Utrecht University Faculty:  Linguistics Author:  Hans Rutger Bosker Award: 2014 AVT/Anéla Dissertation Prize Title:  The processing and evaluation of fluency in native and non-native speech

University: California Institute of Technology Faculty: Physics Author: Michael P. Mendenhall Award: 2015 Dissertation Award in Nuclear Physics Title: Measurement of the neutron beta decay asymmetry using ultracold neutrons

University:  Stanford University Faculty: Management Science and Engineering Author:  Shayan O. Gharan Award:  Doctoral Dissertation Award 2013 Title:   New Rounding Techniques for the Design and Analysis of Approximation Algorithms

University: University of Minnesota Faculty: Chemical Engineering Author: Eric A. Vandre Award:  2014 Andreas Acrivos Dissertation Award in Fluid Dynamics Title: Onset of Dynamics Wetting Failure: The Mechanics of High-speed Fluid Displacement

University: Erasmus University Rotterdam Faculty: Marketing Author: Ezgi Akpinar Award: McKinsey Marketing Dissertation Award 2014 Title: Consumer Information Sharing: Understanding Psychological Drivers of Social Transmission

University: University of Washington Faculty: Computer Science & Engineering Author: Keith N. Snavely Award:  2009 Doctoral Dissertation Award Title: Scene Reconstruction and Visualization from Internet Photo Collections

University:  University of Ottawa Faculty:  Social Work Author:  Susannah Taylor Award: 2018 Joseph De Koninck Prize Title:  Effacing and Obscuring Autonomy: the Effects of Structural Violence on the Transition to Adulthood of Street Involved Youth

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Research Topics & Ideas: Business

50+ Management Research Topic Ideas To Fast-Track Your Project

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a business/management-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of  research ideas and topic thought-starters for management-related research degrees (MBAs/DBAs, etc.). These research topics span management strategy, HR, finance, operations, international business and leadership.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the management domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic. 

Overview: Business Research Topics

• Business /management strategy
• Human resources (HR) and industrial psychology
• Finance and accounting
• Operations management
• International business
• Actual business dissertations & theses

Strategy-Related Research Topics

• An analysis of the impact of digital transformation on business strategy in consulting firms
• The role of innovation in transportation practices for creating a competitive advantage within the agricultural sector
• Exploring the effect of globalisation on strategic decision-making practices for multinational Fashion brands.
• An evaluation of corporate social responsibility in shaping business strategy, a case study of power utilities in Nigeria
• Analysing the relationship between corporate culture and business strategy in the new digital era, exploring the role of remote working.
• Assessing the impact of sustainability practices on business strategy and performance in the motor vehicle manufacturing industry
• An analysis of the effect of social media on strategic partnerships and alliances development in the insurance industry
• Exploring the role of data-driven decision-making in business strategy developments following supply-chain disruptions in the agricultural sector
• Developing a conceptual framework for assessing the influence of market orientation on business strategy and performance in the video game publishing industry
• A review of strategic cost management best practices in the healthcare sector of Indonesia
• Identification of key strategic considerations required for the effective implementation of Industry 4.0 to develop a circular economy
• Reviewing how Globalisation has affected business model innovation strategies in the education sector
• A comparison of merger and acquisition strategies’ effects on novel product development in the Pharmaceutical industry
• An analysis of market strategy performance during recessions, a retrospective review of the luxury goods market in the US
• Comparing the performance of digital stakeholder engagement strategies and their contribution towards meeting SDGs in the mining sector

Topics & Ideas: Human Resources (HR)

• Exploring the impact of digital employee engagement practices on organizational performance in SMEs
• The role of diversity and inclusion in the workplace
• An evaluation of remote employee training and development programs efficacy in the e-commerce sector
• Comparing the effect of flexible work arrangements on employee satisfaction and productivity across generational divides
• Assessing the relationship between gender-focused employee empowerment programs and job satisfaction in the UAE
• A review of the impact of technology and digitisation on human resource management practices in the construction industry
• An analysis of the role of human resource management in talent acquisition and retention in response to globalisation and crisis, a case study of the South African power utility
• The influence of leadership style on remote working employee motivation and performance in the education sector.
• A comparison of performance appraisal systems for managing employee performance in the luxury retail fashion industry
• An examination of the relationship between work-life balance and job satisfaction in blue-collar workplaces, A systematic review
• Exploring HR personnel’s experiences managing digital workplace bullying in multinational corporations
• Assessing the success of HR team integration following merger and acquisition on employee engagement and performance
• Exploring HR green practices and their effects on retention of millennial talent in the fintech industry
• Assessing the impact of human resources analytics in successfully navigating digital transformation within the healthcare sector
• Exploring the role of HR staff in the development and maintenance of ethical business practices in fintech SMEs
• An analysis of employee perceptions of current HRM practices in a fully remote IT workspace

Topics & Ideas: Finance & Accounting

• An analysis of the effect of employee financial literacy on decision-making in manufacturing start-ups in Ghana
• Assessing the impact of corporate green innovation on financial performance in listed companies in Estonia
• Assessing the effect of corporate governance on financial performance in the mining industry in Papua New Guinea
• An evaluation of financial risk management practices in the construction industry of Saudi Arabia
• Exploring the role of leadership financial literacy in the transition from start-up to scale-up in the retail e-commerce industry.
• A review of influential macroeconomic factors on the adoption of cryptocurrencies as legal tender
• An examination of the use of financial derivatives in risk management
• Exploring the impact of the cryptocurrency disruption on stock trading practices in the EU
• An analysis of the relationship between corporate social responsibility and financial performance in academic publishing houses
• A comparison of financial ratios performance in evaluating E-commerce startups in South Korea.
• An evaluation of the role of government policies in facilitating manufacturing companies’ successful transitioning from start-up to scale-ups in Denmark
• Assessing the financial value associated with industry 4.0 transitions in the Indian pharmaceutical industry
• Exploring the role of effective e-leadership on financial performance in the Nigerian fintech industry
• A review of digital disruptions in CRM practices and their associated financial impact on listed companies during the Covid-19 pandemic
• Exploring the importance of Sharia-based business practices on SME financial performance in multicultural countries

Ideas: Operations Management

• An assessment of the impact of blockchain technology on operations management practices in the transport industry of Estonia
• An evaluation of supply chain disruption management strategies and their impact on business performance in Lithuania
• Exploring the role of lean manufacturing in the automotive industry of Malaysia and its effects on improving operational efficiency
• A critical review of optimal operations management strategies in luxury goods manufacturing for ensuring supply chain resilience
• Exploring the role of globalization on Supply chain diversification, a pre/post analysis of the COVID-19 pandemic
• An analysis of the relationship between quality management and customer satisfaction in subscription-based business models
• Assessing the cost of sustainable sourcing practices on operations management and supply chain resilience in the Cocao industry.
• An examination of the adoption of behavioural predictive analytics in operations management practices, a case study of the
• Italian automotive industry
• Exploring the effect of operational complexity on business performance following digital transformation
• An evaluation of barriers to the implementation of agile methods in project management within governmental institutions
• Assessing how the relationship between operational processes and business strategy change as companies transition from start-ups to scale-ups
• Exploring the relationship between operational management and innovative business models, lessons from the fintech industry
• A review of best practices for operations management facilitating the transition towards a circular economy in the fast food industry
• Exploring the viability of lean manufacturing practices in Vietnam’s plastics industry
• Assessing engagement in cybersecurity considerations associated with operations management practices in industry 4.0 manufacturing

Topics & Ideas: International Business

• The impact of cultural differences in communication on international business relationships
• An evaluation of the role of government import and export policies in shaping international business practices
• The effect of global shipping conditions on international business strategies
• An analysis of the challenges of managing multinational corporations: branch management
• The influence of social media marketing on international business operations
• The role of international trade agreements on business activities in developing countries
• An examination of the impact of currency fluctuations on international business and cost competitiveness
• The relationship between international business and sustainable development: perspectives and benefits
• An evaluation of the challenges and opportunities of doing business in emerging markets such as the renewable energy industry
• An analysis of the role of internationalisation via strategic alliances in international business
• The impact of cross-cultural management on international business performance
• The effect of political instability on international business operations: A case study of Russia
• An analysis of the role of intellectual property rights in an international technology company’s business strategies
• The relationship between corporate social responsibility and international business strategy: a comparative study of different industries
• The impact of technology on international business in the fashion industry

Topics & Ideas: Leadership

• A comparative study of the impact of different leadership styles on organizational performance
• An evaluation of transformational leadership in today’s non-profit organizations
• The role of emotional intelligence in effective leadership and productivity
• An analysis of the relationship between leadership style and employee motivation
• The influence of diversity and inclusion on leadership practices in South Africa
• The impact of Artificial Intelligence technology on leadership in the digital age
• An examination of the challenges of leadership in a rapidly changing business environment: examples from the finance industry
• The relationship between leadership and corporate culture and job satisfaction
• An evaluation of the role of transformational leadership in strategic decision-making
• The use of leadership development programs in enhancing leadership effectiveness in multinational organisations
• The impact of ethical leadership on organizational trust and reputation: an empirical study
• An analysis of the relationship between various leadership styles and employee well-being in healthcare organizations
• The role of leadership in promoting good work-life balance and job satisfaction in the age of remote work
• The influence of leadership on knowledge sharing and innovation in the technology industry
• An investigation of the impact of cultural intelligence on cross-cultural leadership effectiveness in global organizations

Business/Management Dissertation & Theses

While the ideas we’ve presented above are a decent starting point for finding a business-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various management-related degree programs (e.g., MBAs, DBAs, etc.) to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

• Sustaining Microbreweries Beyond 5 Years (Yanez, 2022)
• Perceived Stakeholder and Stockholder Views: A Comparison Among Accounting Students, Non-Accounting Business Students And Non-Business Students (Shajan, 2020)
• Attitudes Toward Corporate Social Responsibility and the New Ecological Paradigm among Business Students in Southern California (Barullas, 2020)
• Entrepreneurial opportunity alertness in small business: a narrative research study exploring established small business founders’ experience with opportunity alertness in an evolving economic landscape in the Southeastern United States (Hughes, 2019)
• Work-Integrated Learning in Closing Skills Gap in Public Procurement: A Qualitative Phenomenological Study (Culver, 2021)
• Analyzing the Drivers and Barriers to Green Business Practices for Small and Medium Enterprises in Ohio (Purwandani, 2020)
• The Role of Executive Business Travel in a Virtual World (Gale, 2022)
• Outsourcing Security and International Corporate Responsibility: A Critical Analysis of Private Military Companies (PMCs) and Human Rights Violations (Hawkins, 2022)
• Lean-excellence business management for small and medium-sized manufacturing companies in Kurdistan region of Iraq (Mohammad, 2021)
• Science Data Sharing: Applying a Disruptive Technology Platform Business Model (Edwards, 2022)
• Impact of Hurricanes on Small Construction Business and Their Recovery (Sahu, 2022)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Topic Ideation

If you’d like hands-on help to speed up your topic ideation process and ensure that you develop a rock-solid research topic, check our our Topic Kickstarter service below.

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Great help. thanks

Hi, Your work is very educative, it has widened my knowledge. Thank you so much.

Thank you so much for helping me understand how to craft a research topic. I’m pursuing a PGDE. Thank you

Effect of Leadership, computerized accounting systems, risk management and monitoring on the quality of financial Reports among listed banks

May you assist on a possible PhD topic on analyzing economic behaviours within environmental, climate and energy domains, from a gender perspective. I seek to further investigate if/to which extent policies in these domains can be deemed economically unfair from a gender perspective, and whether the effectiveness of the policies can be increased while striving for inequalities not being perpetuated.

healthy work environment and employee diversity, technological innovations and their role in management practices, cultural difference affecting advertising, honesty as a company policy, an analysis of the relationships between quality management and customer satisfaction in subscription based business model,business corruption cases. That I was selected from the above topics.

Research topic accounting

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