how long does it take to write an honours thesis

Honors Theses

What this handout is about.

Writing a senior honors thesis, or any major research essay, can seem daunting at first. A thesis requires a reflective, multi-stage writing process. This handout will walk you through those stages. It is targeted at students in the humanities and social sciences, since their theses tend to involve more writing than projects in the hard sciences. Yet all thesis writers may find the organizational strategies helpful.

Introduction

What is an honors thesis.

That depends quite a bit on your field of study. However, all honors theses have at least two things in common:

• They are based on students’ original research.
• They take the form of a written manuscript, which presents the findings of that research. In the humanities, theses average 50-75 pages in length and consist of two or more chapters. In the social sciences, the manuscript may be shorter, depending on whether the project involves more quantitative than qualitative research. In the hard sciences, the manuscript may be shorter still, often taking the form of a sophisticated laboratory report.

Who can write an honors thesis?

In general, students who are at the end of their junior year, have an overall 3.2 GPA, and meet their departmental requirements can write a senior thesis. For information about your eligibility, contact:

• UNC Honors Program
• Your departmental administrators of undergraduate studies/honors

Why write an honors thesis?

Satisfy your intellectual curiosity This is the most compelling reason to write a thesis. Whether it’s the short stories of Flannery O’Connor or the challenges of urban poverty, you’ve studied topics in college that really piqued your interest. Now’s your chance to follow your passions, explore further, and contribute some original ideas and research in your field.

Develop transferable skills Whether you choose to stay in your field of study or not, the process of developing and crafting a feasible research project will hone skills that will serve you well in almost any future job. After all, most jobs require some form of problem solving and oral and written communication. Writing an honors thesis requires that you:

• ask smart questions
• acquire the investigative instincts needed to find answers
• navigate libraries, laboratories, archives, databases, and other research venues
• develop the flexibility to redirect your research if your initial plan flops
• master the art of time management
• hone your argumentation skills
• organize a lengthy piece of writing
• polish your oral communication skills by presenting and defending your project to faculty and peers

Work closely with faculty mentors At large research universities like Carolina, you’ve likely taken classes where you barely got to know your instructor. Writing a thesis offers the opportunity to work one-on-one with a with faculty adviser. Such mentors can enrich your intellectual development and later serve as invaluable references for graduate school and employment.

Open windows into future professions An honors thesis will give you a taste of what it’s like to do research in your field. Even if you’re a sociology major, you may not really know what it’s like to be a sociologist. Writing a sociology thesis would open a window into that world. It also might help you decide whether to pursue that field in graduate school or in your future career.

How do you write an honors thesis?

Get an idea of what’s expected.

It’s a good idea to review some of the honors theses other students have submitted to get a sense of what an honors thesis might look like and what kinds of things might be appropriate topics. Look for examples from the previous year in the Carolina Digital Repository. You may also be able to find past theses collected in your major department or at the North Carolina Collection in Wilson Library. Pay special attention to theses written by students who share your major.

Choose a topic

Ideally, you should start thinking about topics early in your junior year, so you can begin your research and writing quickly during your senior year. (Many departments require that you submit a proposal for an honors thesis project during the spring of your junior year.)

How should you choose a topic?

• Read widely in the fields that interest you. Make a habit of browsing professional journals to survey the “hot” areas of research and to familiarize yourself with your field’s stylistic conventions. (You’ll find the most recent issues of the major professional journals in the periodicals reading room on the first floor of Davis Library).
• Set up appointments to talk with faculty in your field. This is a good idea, since you’ll eventually need to select an advisor and a second reader. Faculty also can help you start narrowing down potential topics.
• Look at honors theses from the past. The North Carolina Collection in Wilson Library holds UNC honors theses. To get a sense of the typical scope of a thesis, take a look at a sampling from your field.

What makes a good topic?

• It’s fascinating. Above all, choose something that grips your imagination. If you don’t, the chances are good that you’ll struggle to finish.
• It’s doable. Even if a topic interests you, it won’t work out unless you have access to the materials you need to research it. Also be sure that your topic is narrow enough. Let’s take an example: Say you’re interested in the efforts to ratify the Equal Rights Amendment in the 1970s and early 1980s. That’s a big topic that probably can’t be adequately covered in a single thesis. You need to find a case study within that larger topic. For example, maybe you’re particularly interested in the states that did not ratify the ERA. Of those states, perhaps you’ll select North Carolina, since you’ll have ready access to local research materials. And maybe you want to focus primarily on the ERA’s opponents. Beyond that, maybe you’re particularly interested in female opponents of the ERA. Now you’ve got a much more manageable topic: Women in North Carolina Who Opposed the ERA in the 1970s and 1980s.
• It contains a question. There’s a big difference between having a topic and having a guiding research question. Taking the above topic, perhaps your main question is: Why did some women in North Carolina oppose the ERA? You will, of course, generate other questions: Who were the most outspoken opponents? White women? Middle-class women? How did they oppose the ERA? Public protests? Legislative petitions? etc. etc. Yet it’s good to start with a guiding question that will focus your research.

Goal-setting and time management

The senior year is an exceptionally busy time for college students. In addition to the usual load of courses and jobs, seniors have the daunting task of applying for jobs and/or graduate school. These demands are angst producing and time consuming If that scenario sounds familiar, don’t panic! Do start strategizing about how to make a time for your thesis. You may need to take a lighter course load or eliminate extracurricular activities. Even if the thesis is the only thing on your plate, you still need to make a systematic schedule for yourself. Most departments require that you take a class that guides you through the honors project, so deadlines likely will be set for you. Still, you should set your own goals for meeting those deadlines. Here are a few suggestions for goal setting and time management:

Start early. Keep in mind that many departments will require that you turn in your thesis sometime in early April, so don’t count on having the entire spring semester to finish your work. Ideally, you’ll start the research process the semester or summer before your senior year so that the writing process can begin early in the fall. Some goal-setting will be done for you if you are taking a required class that guides you through the honors project. But any substantive research project requires a clear timetable.

Set clear goals in making a timetable. Find out the final deadline for turning in your project to your department. Working backwards from that deadline, figure out how much time you can allow for the various stages of production.

Here is a sample timetable. Use it, however, with two caveats in mind:

• The timetable for your thesis might look very different depending on your departmental requirements.
• You may not wish to proceed through these stages in a linear fashion. You may want to revise chapter one before you write chapter two. Or you might want to write your introduction last, not first. This sample is designed simply to help you start thinking about how to customize your own schedule.

Sample timetable

Avoid falling into the trap of procrastination. Once you’ve set goals for yourself, stick to them! For some tips on how to do this, see our handout on procrastination .

Consistent production

It’s a good idea to try to squeeze in a bit of thesis work every day—even if it’s just fifteen minutes of journaling or brainstorming about your topic. Or maybe you’ll spend that fifteen minutes taking notes on a book. The important thing is to accomplish a bit of active production (i.e., putting words on paper) for your thesis every day. That way, you develop good writing habits that will help you keep your project moving forward.

Make yourself accountable to someone other than yourself

Since most of you will be taking a required thesis seminar, you will have deadlines. Yet you might want to form a writing group or enlist a peer reader, some person or people who can help you stick to your goals. Moreover, if your advisor encourages you to work mostly independently, don’t be afraid to ask them to set up periodic meetings at which you’ll turn in installments of your project.

Brainstorming and freewriting

One of the biggest challenges of a lengthy writing project is keeping the creative juices flowing. Here’s where freewriting can help. Try keeping a small notebook handy where you jot down stray ideas that pop into your head. Or schedule time to freewrite. You may find that such exercises “free” you up to articulate your argument and generate new ideas. Here are some questions to stimulate freewriting.

Questions for basic brainstorming at the beginning of your project:

• What do I already know about this topic?
• Why do I care about this topic?
• Why is this topic important to people other than myself
• What more do I want to learn about this topic?
• What is the main question that I am trying to answer?
• Where can I look for additional information?
• Who is my audience and how can I reach them?
• How will my work inform my larger field of study?
• What’s the main goal of my research project?

Questions for reflection throughout your project:

• What’s my main argument? How has it changed since I began the project?
• What’s the most important evidence that I have in support of my “big point”?
• What questions do my sources not answer?
• How does my case study inform or challenge my field writ large?
• Does my project reinforce or contradict noted scholars in my field? How?
• What is the most surprising finding of my research?
• What is the most frustrating part of this project?
• What is the most rewarding part of this project?
• What will be my work’s most important contribution?

Research and note-taking

In conducting research, you will need to find both primary sources (“firsthand” sources that come directly from the period/events/people you are studying) and secondary sources (“secondhand” sources that are filtered through the interpretations of experts in your field.) The nature of your research will vary tremendously, depending on what field you’re in. For some general suggestions on finding sources, consult the UNC Libraries tutorials . Whatever the exact nature of the research you’re conducting, you’ll be taking lots of notes and should reflect critically on how you do that. Too often it’s assumed that the research phase of a project involves very little substantive writing (i.e., writing that involves thinking). We sit down with our research materials and plunder them for basic facts and useful quotations. That mechanical type of information-recording is important. But a more thoughtful type of writing and analytical thinking is also essential at this stage. Some general guidelines for note-taking:

First of all, develop a research system. There are lots of ways to take and organize your notes. Whether you choose to use note cards, computer databases, or notebooks, follow two cardinal rules:

• Make careful distinctions between direct quotations and your paraphrasing! This is critical if you want to be sure to avoid accidentally plagiarizing someone else’s work. For more on this, see our handout on plagiarism .
• Record full citations for each source. Don’t get lazy here! It will be far more difficult to find the proper citation later than to write it down now.

Keeping those rules in mind, here’s a template for the types of information that your note cards/legal pad sheets/computer files should include for each of your sources:

Abbreviated subject heading: Include two or three words to remind you of what this sources is about (this shorthand categorization is essential for the later sorting of your sources).

Complete bibliographic citation:

• author, title, publisher, copyright date, and page numbers for published works
• box and folder numbers and document descriptions for archival sources
• complete web page title, author, address, and date accessed for online sources

Notes on facts, quotations, and arguments: Depending on the type of source you’re using, the content of your notes will vary. If, for example, you’re using US Census data, then you’ll mainly be writing down statistics and numbers. If you’re looking at someone else’s diary, you might jot down a number of quotations that illustrate the subject’s feelings and perspectives. If you’re looking at a secondary source, you’ll want to make note not just of factual information provided by the author but also of their key arguments.

Your interpretation of the source: This is the most important part of note-taking. Don’t just record facts. Go ahead and take a stab at interpreting them. As historians Jacques Barzun and Henry F. Graff insist, “A note is a thought.” So what do these thoughts entail? Ask yourself questions about the context and significance of each source.

Interpreting the context of a source:

• Who wrote/created the source?
• When, and under what circumstances, was it written/created?
• Why was it written/created? What was the agenda behind the source?
• How was it written/created?
• If using a secondary source: How does it speak to other scholarship in the field?

Interpreting the significance of a source:

• How does this source answer (or complicate) my guiding research questions?
• Does it pose new questions for my project? What are they?
• Does it challenge my fundamental argument? If so, how?
• Given the source’s context, how reliable is it?

You don’t need to answer all of these questions for each source, but you should set a goal of engaging in at least one or two sentences of thoughtful, interpretative writing for each source. If you do so, you’ll make much easier the next task that awaits you: drafting.

The dread of drafting

Why do we often dread drafting? We dread drafting because it requires synthesis, one of the more difficult forms of thinking and interpretation. If you’ve been free-writing and taking thoughtful notes during the research phase of your project, then the drafting should be far less painful. Here are some tips on how to get started:

Sort your “evidence” or research into analytical categories:

• Some people file note cards into categories.
• The technologically-oriented among us take notes using computer database programs that have built-in sorting mechanisms.
• Others cut and paste evidence into detailed outlines on their computer.
• Still others stack books, notes, and photocopies into topically-arranged piles.There is not a single right way, but this step—in some form or fashion—is essential!

If you’ve been forcing yourself to put subject headings on your notes as you go along, you’ll have generated a number of important analytical categories. Now, you need to refine those categories and sort your evidence. Everyone has a different “sorting style.”

Formulate working arguments for your entire thesis and individual chapters. Once you’ve sorted your evidence, you need to spend some time thinking about your project’s “big picture.” You need to be able to answer two questions in specific terms:

• What is the overall argument of my thesis?
• What are the sub-arguments of each chapter and how do they relate to my main argument?

Keep in mind that “working arguments” may change after you start writing. But a senior thesis is big and potentially unwieldy. If you leave this business of argument to chance, you may end up with a tangle of ideas. See our handout on arguments and handout on thesis statements for some general advice on formulating arguments.

Divide your thesis into manageable chunks. The surest road to frustration at this stage is getting obsessed with the big picture. What? Didn’t we just say that you needed to focus on the big picture? Yes, by all means, yes. You do need to focus on the big picture in order to get a conceptual handle on your project, but you also need to break your thesis down into manageable chunks of writing. For example, take a small stack of note cards and flesh them out on paper. Or write through one point on a chapter outline. Those small bits of prose will add up quickly.

Just start! Even if it’s not at the beginning. Are you having trouble writing those first few pages of your chapter? Sometimes the introduction is the toughest place to start. You should have a rough idea of your overall argument before you begin writing one of the main chapters, but you might find it easier to start writing in the middle of a chapter of somewhere other than word one. Grab hold where you evidence is strongest and your ideas are clearest.

Keep up the momentum! Assuming the first draft won’t be your last draft, try to get your thoughts on paper without spending too much time fussing over minor stylistic concerns. At the drafting stage, it’s all about getting those ideas on paper. Once that task is done, you can turn your attention to revising.

Peter Elbow, in Writing With Power, suggests that writing is difficult because it requires two conflicting tasks: creating and criticizing. While these two tasks are intimately intertwined, the drafting stage focuses on creating, while revising requires criticizing. If you leave your revising to the last minute, then you’ve left out a crucial stage of the writing process. See our handout for some general tips on revising . The challenges of revising an honors thesis may include:

Juggling feedback from multiple readers

A senior thesis may mark the first time that you have had to juggle feedback from a wide range of readers:

• your adviser
• a second (and sometimes third) faculty reader
• the professor and students in your honors thesis seminar

You may feel overwhelmed by the prospect of incorporating all this advice. Keep in mind that some advice is better than others. You will probably want to take most seriously the advice of your adviser since they carry the most weight in giving your project a stamp of approval. But sometimes your adviser may give you more advice than you can digest. If so, don’t be afraid to approach them—in a polite and cooperative spirit, of course—and ask for some help in prioritizing that advice. See our handout for some tips on getting and receiving feedback .

Refining your argument

It’s especially easy in writing a lengthy work to lose sight of your main ideas. So spend some time after you’ve drafted to go back and clarify your overall argument and the individual chapter arguments and make sure they match the evidence you present.

Organizing and reorganizing

Again, in writing a 50-75 page thesis, things can get jumbled. You may find it particularly helpful to make a “reverse outline” of each of your chapters. That will help you to see the big sections in your work and move things around so there’s a logical flow of ideas. See our handout on  organization  for more organizational suggestions and tips on making a reverse outline

Plugging in holes in your evidence

It’s unlikely that you anticipated everything you needed to look up before you drafted your thesis. Save some time at the revising stage to plug in the holes in your research. Make sure that you have both primary and secondary evidence to support and contextualize your main ideas.

Saving time for the small stuff

Even though your argument, evidence, and organization are most important, leave plenty of time to polish your prose. At this point, you’ve spent a very long time on your thesis. Don’t let minor blemishes (misspellings and incorrect grammar) distract your readers!

Formatting and final touches

You’re almost done! You’ve researched, drafted, and revised your thesis; now you need to take care of those pesky little formatting matters. An honors thesis should replicate—on a smaller scale—the appearance of a dissertation or master’s thesis. So, you need to include the “trappings” of a formal piece of academic work. For specific questions on formatting matters, check with your department to see if it has a style guide that you should use. For general formatting guidelines, consult the Graduate School’s Guide to Dissertations and Theses . Keeping in mind the caveat that you should always check with your department first about its stylistic guidelines, here’s a brief overview of the final “finishing touches” that you’ll need to put on your honors thesis:

• Honors Thesis
• Name of Department
• University of North Carolina
• These parts of the thesis will vary in format depending on whether your discipline uses MLA, APA, CBE, or Chicago (also known in its shortened version as Turabian) style. Whichever style you’re using, stick to the rules and be consistent. It might be helpful to buy an appropriate style guide. Or consult the UNC LibrariesYear Citations/footnotes and works cited/reference pages  citation tutorial
• In addition, in the bottom left corner, you need to leave space for your adviser and faculty readers to sign their names. For example:

Approved by: _____________________

Adviser: Prof. Jane Doe

• This is not a required component of an honors thesis. However, if you want to thank particular librarians, archivists, interviewees, and advisers, here’s the place to do it. You should include an acknowledgments page if you received a grant from the university or an outside agency that supported your research. It’s a good idea to acknowledge folks who helped you with a major project, but do not feel the need to go overboard with copious and flowery expressions of gratitude. You can—and should—always write additional thank-you notes to people who gave you assistance.
• Formatted much like the table of contents.
• You’ll need to save this until the end, because it needs to reflect your final pagination. Once you’ve made all changes to the body of the thesis, then type up your table of contents with the titles of each section aligned on the left and the page numbers on which those sections begin flush right.
• Each page of your thesis needs a number, although not all page numbers are displayed. All pages that precede the first page of the main text (i.e., your introduction or chapter one) are numbered with small roman numerals (i, ii, iii, iv, v, etc.). All pages thereafter use Arabic numerals (1, 2, 3, 4, 5, etc.).
• Your text should be double spaced (except, in some cases, long excerpts of quoted material), in a 12 point font and a standard font style (e.g., Times New Roman). An honors thesis isn’t the place to experiment with funky fonts—they won’t enhance your work, they’ll only distract your readers.
• In general, leave a one-inch inch margin on all sides. However, for the copy of your thesis that will be bound by the library, you need to leave a 1.25-inch margin on the left.

How do I defend my honors thesis?

Graciously, enthusiastically, and confidently. The term defense is scary and misleading—it conjures up images of a military exercise or an athletic maneuver. An academic defense ideally shouldn’t be a combative scene but a congenial conversation about the work’s merits and weaknesses. That said, the defense probably won’t be like the average conversation that you have with your friends. You’ll be the center of attention. And you may get some challenging questions. Thus, it’s a good idea to spend some time preparing yourself. First of all, you’ll want to prepare 5-10 minutes of opening comments. Here’s a good time to preempt some criticisms by frankly acknowledging what you think your work’s greatest strengths and weaknesses are. Then you may be asked some typical questions:

• What is the main argument of your thesis?
• How does it fit in with the work of Ms. Famous Scholar?
• Have you read the work of Mr. Important Author?

NOTE: Don’t get too flustered if you haven’t! Most scholars have their favorite authors and books and may bring one or more of them up, even if the person or book is only tangentially related to the topic at hand. Should you get this question, answer honestly and simply jot down the title or the author’s name for future reference. No one expects you to have read everything that’s out there.

• Why did you choose this particular case study to explore your topic?
• If you were to expand this project in graduate school, how would you do so?

Should you get some biting criticism of your work, try not to get defensive. Yes, this is a defense, but you’ll probably only fan the flames if you lose your cool. Keep in mind that all academic work has flaws or weaknesses, and you can be sure that your professors have received criticisms of their own work. It’s part of the academic enterprise. Accept criticism graciously and learn from it. If you receive criticism that is unfair, stand up for yourself confidently, but in a good spirit. Above all, try to have fun! A defense is a rare opportunity to have eminent scholars in your field focus on YOU and your ideas and work. And the defense marks the end of a long and arduous journey. You have every right to be proud of your accomplishments!

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

Atchity, Kenneth. 1986. A Writer’s Time: A Guide to the Creative Process from Vision Through Revision . New York: W.W. Norton.

Barzun, Jacques, and Henry F. Graff. 2012. The Modern Researcher , 6th ed. Belmont, CA: Wadsworth Cengage Learning.

Elbow, Peter. 1998. Writing With Power: Techniques for Mastering the Writing Process . New York: Oxford University Press.

Graff, Gerald, and Cathy Birkenstein. 2014. “They Say/I Say”: The Moves That Matter in Academic Writing , 3rd ed. New York: W.W. Norton and Company.

Lamott, Anne. 1994. Bird by Bird: Some Instructions on Writing and Life . New York: Pantheon.

Lasch, Christopher. 2002. Plain Style: A Guide to Written English. Philadelphia: University of Pennsylvania Press.

Turabian, Kate. 2018. A Manual for Writers of Term Papers, Theses, Dissertations , 9th ed. Chicago: University of Chicago Press.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

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WRITING AN HONORS THESIS IN THE ENGLISH DEPARTMENT

Updated January 2022

Honors English students, following Schreyer Honors College requirements, compose a thesis of significant scholarly research or creative writing. The thesis is completed in close consultation with a thesis supervisor during the semester before the student’s graduation semester, while the student is enrolled in English 494H.

In the graduation semester, students polish and submit their theses for approval by the thesis supervisor and the honors advisor and then submit them to Schreyer Honors College. Dates of final submission vary; please consult your honors advisor and the Schreyer website .

An Honors Thesis in English

An English honors thesis in scholarly research and interpretation should be an ambitious, well-researched, in-depth study focused on a topic chosen by the student in consultation with the thesis supervisor.

An English honors thesis in creative writing should be a sophisticated and well-crafted creative project written in consultation with the thesis supervisor, a project that demonstrates the student’s increasing proficiency of their chosen creative genre(s).

The Critical/Literary Studies Thesis

A critical / literary studies thesis might arise from a range of possibilities: a course paper you would like to extend; an interest you were unable to pursue in class; a connection between two classes that you’ve made on your own; an author, set of works, or theme you want to explore in greater depth; a critical question that has been puzzling you; a body of literature that you want to contextualize; a topic relevant to post-graduate plans (e.g., law school, graduate school, marketing career, writing career, and so forth). Consider also your skill sets, your workload and experiences, and the timeline for completion. The questions you’re asking should be open to productive analysis, questions worth asking.

The topic should challenge you, so that you’re neither summarizing nor skimming the surface of the primary and secondary work under consideration. Chapters within the thesis should build upon each other and connect to an overarching theme or argument. The thesis should be as clear and concise as possible. Make sure the argument is structured, with each chapter and each paragraph having a clear role to play in the development of the argument.

Because the thesis is a scholarly product, it will demonstrate good research skills and effective use of secondary readings. It will also be grammatically correct. Your work will be entering existing critical conversations with other scholarship, so your research should be sufficiently completed prior to your finalizing the thesis plan. Your work should have properly formatted notes and bibliography, whether in Chicago, MLA, or APA style.

Note length stipulations: Honors theses in critical / literary studies may be as short as 8,000 words but no longer than 15,000 words. If the thesis is shorter or longer than these advised limits, explain your thinking and decision-making in the introduction of your thesis.

The Creative Thesis

The creative thesis will be an innovative, stylistically sophisticated work, attentive to language and voice. The work should develop a sustained narrative or theme. Most students who write creative theses produce a collection of short stories or personal essays, a novella, a memoir, a research-based piece of creative nonfiction or a collection of poems. It is very, very difficult to write a novel in one semester, so unless you already have a novel underway, writing a novel is probably not a realistic thesis project. Creative works should be unified (by theme, by topic, or in some other way).

Students should already have taken a 200-level creative writing workshop in the chosen genre(s) and a 300- or 400-level workshop in this same genre(s). (You can be signed up to take the 400-level workshop in 494H semester.) Ideally, students will have studied creative writing with the faculty member who will serve as supervisor, but note that this is a suggestion and not a requirement. Schedule an initial meeting with your prospective thesis supervisor to discuss your plans for the execution of your creative work.

Note this requirement! Creative works will offer an introductory reflective essay (five to eight pages) outlining the project’s aims and placing the project into the context of the style and/or themes of work by other authors. The introductory reflection should address how your creative project complements or challenges work done by others. It should 1) explain the goals of the project and 2) place it into the context of relevant creative or critical texts. Any works referred to in this essay should be documented using Chicago, MLA, of APA style.

Note length stipulations: Honors theses in creative writing may be as short as 8,000 words but no longer than 15,000 words. If the thesis is shorter or longer than these advised limits, explain your thinking and decision-making in the introductory reflective essay. 

The Thesis Supervisor

Schreyer Honors College requires thesis proposals to be submitted in early April of the year before graduation. For this reason, you must have a thesis supervisor by March, so that you can draft your proposal under the supervisor’s direction.

The first step in finding a thesis supervisor is having a meeting with your honors advisor in order to talk through your thesis interests. When identifying a thesis supervisor, consider professors with whom you have a good rapport; professors whose creative or scholarly interests seem like they might dovetail with your own; professors willing to oversee experimental work. You do not need an exact match with any given professor’s work or interests. For instance, a professor’s methodology might fit yours, even if the focus of their research differs.

Before approaching a potential thesis supervisor, meet with your honors advisor to confirm that this would be an appropriate fit for you. After meeting with your honors advisor, you will be making an appointment to meet with the potential thesis supervisor. During that meeting, you will offer some plans with concrete ideas. Be open-minded. Be prepared to listen to alternatives. Discuss the professor’s willingness to supervise the thesis. (Sometimes faculty are already committed to other projects.) If a faculty member cannot agree to supervise, use the opportunity to ask for further suggestions about your topic and a potentially appropriate supervisor, then check back in with your honors advisor.

Crafting the Thesis Proposal

For students graduating in the spring semester of any given year, thesis proposals are due in early April of the prior year. As with other deadlines, the Schreyer Honors College will prompt you to complete the thesis proposal form on the SRS site. Start planning the thesis as soon as a supervisor has been identified. Look at other proposals and at completed theses for good models. Read one or two award-winning theses to get a sense of the scope and depth of a successful thesis: < https://honors.libraries.psu.edu/search/ >.

Critical / literary studies thesis proposals will articulate the questions being asked, identify the primary and secondary materials to be used, and hypothesize about a general argument to be made. You might not have specified your conclusions yet, but a well formulated set of questions is key.

Creative thesis proposals will identify the genre(s) of writing, identify the writing method and approach, and situate the work within the critical context of that genre.

Both kinds of theses require, at the proposal stage, a bibliography (in standard documentation format) of sources consulted. This will reveal how your project is in conversation with other relevant work.

Once you have drafted the thesis proposal, consult with your proposed thesis supervisor and your honors advisor, allowing them sufficient time to offer suggestions. Do not submit a proposal without getting the approval of your thesis supervisor and honors advisor! Expect to get feedback on your plans. Give your thesis supervisor and your honors advisor time to respond to your proposal draft, because it’s complicated to make changes once you submit the form for them to sign off on.

Planning the Project

One semester prior to the ENGL 494 semester, consult with your thesis supervisor to develop a reading list to be completed before you start writing. For theses written in the fall (for May graduation), this will be summer reading; for theses written in the spring (for December graduation), this reading will have to be compacted over the holiday break.

For critical / literary studies theses, read in both primary (the literature, films, authors, or evidence you are analyzing) and secondary materials (articles and books about your topic).

For creative theses , read primary texts in your chosen genre, along with such secondary sources as reviews of these works and articles and books about writing and the writer’s life.

Finding primary materials. The primary materials you’re using should extend beyond what you’ve done in classwork, but do not take on too much. In the end, the quality of the analysis matters much more than pages generated. If you can sustain an analysis of a single novel for fifty pages, offer a thorough account of the secondary criticism on that novel and make a real contribution to that criticism. Note, however, that a twenty-five page plot summary of a single novel is not worthy of honors in English.

Finding secondary materials. Look for important secondary studies offering fresh and provocative approaches to your topic or genre as well as studies that articulate the relationship between your topic and general literary history.

Library and internet databases will assist your work . Library databases of both primary and secondary writings can assist your background research. Think flexibly about useful keywords for searching databases. Also, consider using the resources found in the notes of scholars whose work you have discovered. Using other scholars’ resources will assist your work in identifying pertinent additional primary and secondary sources. If two or three very current articles cite the same older work, you have probably found a foundational critical study.

Look into possible grants to assist your work. Schreyer Research Grants, Erickson Grants, and Liberal Arts Enrichment Grants are available. Consult with the Schreyer Honors College about summer research funding, research travel funding, and other ways to support ambitious research projects. Erickson grants and Liberal Arts Enrichment Grants are available to rising seniors who will incur expenses for their research. If you are a Paterno Fellow, ask the fellows assistant if grants might be available to assist your work. Also consult this link: https://la.psu.edu/beyond-the-classroom/research/

Preliminary Research/Writing and the 494H Semester

During the semester and/or break before the 494H semester, set a rigorous schedule for reading and note-taking. Of course, you will continue to read while you are writing during that semester. But concentrate now on getting the foundation for what you want to say.

Work on developing connections and ideas across your readings. Take the time to take notes! As you continue reading, you might find that your ideas and goals change. That’s a success! Be aware that if your original idea isn’t going anywhere, you need to keep pushing to find a new idea. If your sources aren’t helping you develop new ideas, find new sources.

Try putting findings or notes or creative materials into a preliminary outline of your thesis chapters, so that you can construct a fuller outline before you formally start writing during the 494H semester. Writing is a form of thinking, so start writing and see where your ideas go. Drafting helps refine both ideas and purpose.

Keep in contact with your thesis supervisor. You can use email for this, or zoom, if your professor prefers. Let your supervisor know about how your reading is going and any new ideas you have.

Strategies for success in the 494H semester

Remember you are getting three honors course credits for ENGL 494, so treat this time commitment seriously! Three credits total 135 hours, so use your time wisely. Incorporate time into your schedule for the multiple drafts of each section.

Set aside time each week for your thesis preparation and writing.

Plan to meet with your thesis supervisor on a regular basis (every other week is typical) throughout the semester. Set up a schedule and keep to it. Remember that the thesis supervisor has agreed to help you with your work, so respect your supervisor’s time. Don’t miss meetings or have nothing to show. Set deadlines for the submission of each chapter with your thesis supervisor.

Be responsible: Aim to allow your supervisor two weeks to read and respond to your written work. Be in regular communication with your thesis supervisor. Also, don’t make your thesis supervisor or the honors advisors track you down. Arrive at meetings promptly. If the honors advisor or thesis supervisor drops you a line by email, answer it promptly. Even if – especially if – you fall behind, stay in communication with thesis supervisor and with the honors advisor.

Remember that advice is given to you to help you improve. Listen to your thesis supervisor’s advice and suggestions. If your honors advisor, your second reader, offers suggestions, listen to these suggestions, too! Follow the advice or else respond in a mature and informed way. If you disagree with suggestions offered you, or if you wish to go in another direction, initiate a fruitful dialogue with your supervisor or honors advisor about the project. Let your supervisor and honors advisor know that you are listening.

The Graded Thesis Draft Submitted During the 494H Semester

A complete draft of your thesis is due at the end of the 494H semester.

The thesis supervisor evaluates your consistent progress toward completion, your regular communication about your work, and your effort to acknowledge and use the supervisor’s feedback. Your supervisor is the one who determines your grade, even though the honors advisors are the professors of record for the 494H course. Remember that the grade for 494H evaluates your draft, not the final thesis.

The grade for 494H evaluates the student in the following areas: 1) consistent progress in thesis planning, research, and writing; 2) regular communication with the thesis supervisor through the 494H semester; 3) attention, in revision, to the supervisor’s advice. Thesis supervisors will take into account any additional expectations particular to a thesis topic, the ambition and originality of the developing project, and, in the case of critical / literary theses, the student’s growing skills in employing secondary sources in original ways.

Revision and Submission of Thesis

The final thesis is due according to the Schreyer Honors College’s deadline, near the middle of the student’s final semester. The Schreyer Honors College’s deadlines are firm. The first Schreyer deadline is for formatting approval. Students are responsible for making sure to follow the most up-to-date formatting and submission guidelines on the Schreyer website. See the guidelines: shc.psu.edu/academic/thesis/formatting.cfm

At the time the thesis is submitted to Schreyer for format approval, submit the final draft to your thesis supervisor and honors advisor. The honors advisor might require revisions concerning the clarity of presentation to non-specialist readers, grammar and usage errors, and so forth. You must have the approval of your supervisor and your honors advisor for your thesis to be approved by Schreyer, so be sure to take seriously the feedback offered at this point.

The second Schreyer deadline is for final submission, at which point your thesis supervisor and your honors advisor must approve your thesis. Follow the Schreyer guidelines for submitting the final version of your thesis and getting the digital signatures of approval from your thesis supervisor and your honors advisor.

For questions, please contact the English Honors Co-Advisors, Professors Claire Colebrook and Carla Mulford .

Honours Thesis Handbook

This handbook,  effective September 1, 2016 , is the course outline for PSYCH 499A/B/C (Honours Thesis) from Fall 2016 and onward.

Table of contents

• What is an honours thesis ?
• Who should do an honours thesis ?

Prerequisites for admission to PSYCH 499

Selecting a topic for the honours thesis, finding a thesis supervisor.

• Research interests of the Psychology faculty and recent honours thesis supervised

Class enrolment for PSYCH 499A/B/C

Warnings regarding a decision to discontinue psych 499.

• Course requirements for PSYCH 499A progress report and thesis reviewer nominations
• Course requirements for PSYCH 499B - oral presentation of the thesis proposal

Course requirements for PSYCH 499C - completing the thesis and submitting it for marking

Obtaining ethics clearance for research with human or animal participants, evaluation of the honours thesis, honours thesis award, annual ontario psychology undergraduate thesis conference, avoid academic offences, computing facilities, honours thesis (psych 499a/b/c), what is an honours thesis.

Psychology is a scientific approach to understanding mind and behaviour. Honours Psychology students all learn about the body of knowledge that exists in psychology as well as the scientific procedures for making new discoveries. The honours thesis course (PSYCH 499A/B/C) is an optional course for those who have a strong interest in conducting original research and wish to gain greater experience in research design, data analysis and interpretation.

Students carry out the honours thesis project under the supervision of a faculty member and present the findings in a scholarly paper. An honours thesis can be an empirical research project or more rarely a thesis of a theoretical nature. For an empirical project, the student develops a testable hypothesis and uses scientific procedures to evaluate the hypothesis. For a theoretical project, the student integrates and evaluates existing evidence to offer new interpretations and hypotheses. The difference between the two types of projects is basically the same as the difference between an article in Psychological Review or Psychological Bulletin , and an article in any of the experimental journals. A regular journal article typically reports the result of some empirical investigation and discusses its significance. A Psychological Review paper on the other hand, offers a theoretical contribution (e.g., suggesting a new theoretical approach or a way of revising an old one and showing how the new approach may be tested). A Psychological Bulletin article usually offers a review of an evaluative and integrative character, leading to conclusions and some closure about the state of the issue and future directions for research.

Students who plan to apply for admission to graduate school in psychology are typically advised to do an empirical research project for the honours thesis. Students who choose to do a theoretical paper should discuss their decision with the PSYCH 499 coordinator  (see below) early in the PSYCH 499A term.

The topic of investigation for the honours thesis will be based on a combination of the student's and the supervisor's interests .

Students in year two or three who are considering whether or not they want to do an honours thesis can learn more about what is involved in doing an honours thesis by doing any of the following:

• attending an honours thesis orientation meeting. The meeting is typically the first week of classes each academic term. The official date and time of the meeting will be posted on the PSYCH 499 website .
• attending PSYCH 499B oral presentations by other students. 
• reading a few of the honours thesis samples that are available  online PSYCH 499 SharePoint site  (site only accessible to students currently enrolled in PSYCH 499) or via our Learn shell (only available when enrolled).

In addition to the student's honours thesis supervisor, another resource is the PSYCH 499 course coordinator . The PSYCH 499 coordinator conducts the thesis orientation meeting at the start of each term and is available to discuss any course-related or supervisor-related issues with potential students and enrolled students . If students have questions or concerns regarding the procedures for doing an honours thesis that cannot be answered by their thesis supervisor, they should contact the PSYCH 499 coordinator.

The honours thesis course (PSYCH 499A/B/C) is worth 1.5 units (i.e., 3 term courses). The final numerical grade for the thesis will be recorded for each of PSYCH 499A, 499B, and 499C.

Who should I do an honours thesis?

Honours Psychology majors are not required to do an honours thesis.

Good reasons for doing an honours thesis include:

• An honours thesis is a recommended culmination of the extensive training that honours Psychology majors receive in research methods and data analysis (e.g., PSYCH 291, 292, 389, 390,  492). PSYCH 499 is a good choice for students who have a strong interest in, and commitment to, conducting original research and wish to gain greater experience in research design, data analysis and interpretation.
• An honours degree in Psychology that includes a thesis is typically required for admission to graduate programs in Psychology.
• Thesis supervisors are able to write more meaningful reference letters for students' applications for further studies, scholarships, or employment.

The prerequisites for PSYCH 499 are all of the following:

• enrolment in honours Psychology or make-up Psychology
• successful completion of PSYCH 291, 292, 391, and at least one of: PSYCH 389, 390, 483, 484
• 60% cumulative overall average
• 82% cumulative psychology average

* calendar descriptions as well as course outlines

The course prerequisites for enrolment in PSYCH 499A are strictly enforced because the courses provide essential background for success in PSYCH 499, and it is necessary to restrict the number of students enrolling in PSYCH 499. Appeals to enrol in all 3 of the following courses concurrently will not be accepted:

• Advanced research methods course (PSYCH 389, 390, 483, 484)

In addition to the above formal prerequisites, we assume that all students who are enrolling in PSYCH 499 will have completed at least 4 of the "discipline core courses" (i.e., PSYCH 207, 211, 253, 257, 261) prior to the PSYCH 499A enrolment term.

See " Class enrolment for PSYCH 499A/B/C " below for further details regarding course enrolment, and the PSYCH 499 Application for students without the course prerequisites (e.g., PSYCH average between 81%-81.9%).

The topic of the honours thesis will be based on a combination of the interests of the student and his/her thesis supervisor. One approach for selecting an honours thesis topic is for the student to first find a thesis supervisor who has similar interests to his/her own, and then for the student and the thesis supervisor to develop an honours thesis proposal which compliments the faculty member's current research. Alternatively, some students have more specific research interests and will seek an appropriate thesis supervisor. Students are advised against developing an honours thesis project in too much detail before securing a thesis supervisor.

Review some of the honours thesis titles recently supervised by our faculty members.

See research interests of individual faculty members in the next section.

Each student who enrols in PSYCH 499 must find their own supervisor for his/her honours thesis project. A thesis supervisor must be finalized by the eighth day of classes for the PSYCH 499A term.

Full-time faculty members in the UW Psychology Department, and the four Psychology faculty members at St. Jerome's are all potential thesis supervisors. Think carefully about what you want to tell faculty members about yourself before making contact (think 'foot-in-the-door'). For example, inform a potential supervisor of the following:

• for which school terms you are seeking a thesis supervisor (If not planning to do PSYCH 499 over back-to-back school terms, please explain why, e.g., co-op work term).
• why you are interested in doing an honours thesis
• the program that you are enrolled in (e.g., BA versus BSc, co-op versus regular stream)
• your year of study and target date for graduation
• when you will complete the prerequisites for enrolment in PSYCH 499A
• your cumulative overall and psychology average (highlight improvement if applicable)
• your grades for research methods and statistics courses
• your educational and career goals
• your volunteer/work experience that you have had previously and with whom
• Did you work in his/her lab as a volunteer or paid research assistant?
• Did you take a course with him/her previously?
• Have you read articles that he/she wrote?
• Do his/her interests relate to your interests for studies at the graduate level and/or future employment?
• Were you referred by someone and why?

The search for a thesis supervisor will be easier if you establish rapport during second and third year with faculty members who are potential thesis supervisors. Ways to network with faculty members include the following:

• get involved in the faculty member's lab. See ' Research experience ' on the Psychology undergraduate website for further details
• the Associate Chair for Undergraduate Affairs - currently Richard Eibach
• faculty members who attended the school(s) you are interested in applying to in the future. See the Psychology Department's Faculty listing for details
• faculty members who have interests that relate to your future plans. See Research interests of faculty members in our department.
• faculty members whose labs you worked or volunteered in
• be an active participant in the class discussions for the advanced research methods courses (PSYCH 389, 390) and honours seminars (PSYCH 453-463).
• enrol in a directed studies course (PSYCH 480-486) where you will receive one-on-one supervision from a faculty member. See the course application form for further details
• read articles that the faculty member has written and discuss the material with him/her
• attend departmental colloquia and divisional seminars where students can engage in discussions with faculty members about the material presented. Postings appear on the right sidebar of the Psychology Department home page

You may find that some faculty members that you approach will have already committed to supervising as many honours thesis projects as they feel able to handle for a given year. Be persistent in your search for a thesis supervisor and do not feel discouraged if you need to approach several (i.e., six or eight) people.

If you are unable to obtain a thesis supervisor, please speak to the PSYCH 499 coordinator .

Faculty members other than the thesis supervisor can also be very useful resources during the course of the thesis project. Feel free to discuss your thesis work with any relevant faculty (or graduate students).

Research interests of the faculty members in the Psychology Department and recent honours theses supervised

For research interests of faculty members please refer to the "Our People" page in the main menu and click on the faculty member's name. You can sort the list by "Name" or "Area of Study". Note that faculty members may not be available to supervise honours theses during sabbatical dates indicated on the web site.

For recent honours theses supervised by individual faculty members please refer to the honours theses supervised website.

Refer to the course enrolment information/instructions on the PSYCH 499 website.

The honours thesis (PSYCH 499A/B/C) is worth 1.5 units (i.e., 3 term courses). Students may not enrol for all of PSYCH 499A/B/C in one term. Students should consult with their thesis supervisor regarding the appropriate class enrolment sequence for PSYCH 499. Students can spread the class enrolment for PSYCH 499A, 499B, and 499C over three terms beginning in the 3B term or over two terms beginning in 4A. Those choosing to do the honours thesis over two terms will enrol in PSYCH 499A/B in 4A and PSYCH 499C in 4B. Alternative sequencing (e.g., 499A/B/C over three terms) should be discussed with the thesis supervisor. Although students can start an honours thesis in any term, the Fall term is typically recommended.

Factors that students should consider when deciding which terms to enrol for PSYCH 499A/B/C:

• When will the prerequisites for PSYCH 499 be completed? For example, Honours Psych & Arts and Business Co-op students will not enrol in PSYCH 499A until the 4A term because the prerequisites for PSYCH 499 won't be completed until the 3B term.
• Will the thesis supervisor be available to supervise the project during the terms that the student proposes to enrol for PSYCH 499A/B/C (e.g., is the supervisor planning a sabbatical leave or to retire)?
• For co-op students, how will the work/school sequence interfere with the project?
• The amount of time necessary to obtain ethics clearance varies depending on the participants required and research design.
• When is the optimal timing for data collection? For example, if PSYCH 101 students will be participants for the study, one has to consider the ratio of PSYCH 101 students to researchers that are available in a given term. The Fall term is typically the best time to collect data from this population, Winter term second best, and the Spring term the poorest.
• What other responsibilities does the student have (e.g., course selections, personal circumstances) in a given term?
• The thesis supervisor requires a sufficient amount of time to get to know the student before he/she is asked to write the student reference letters (e.g., for applications for graduate school, scholarships, or employment).

Details are provided in the next 3 sections regarding the course requirements for each of PSYCH 499A, 499B, and 499C.

Students should be diligent about their responsibilities for the honours thesis. Procrastination leads to delays in firming up the research proposal, doing the oral presentation, obtaining ethics clearance, and beginning data collection. Ultimately procrastination can lead to poor quality work and/or a postponement of graduation.

Students should consult with their thesis supervisor and the Psychology undergraduate advisor before dropping any of PSYCH 499A, 499B, or 499C.

• If a student wants to drop any of PSYCH 499A, 499B, and 499C in the current term, the individual course requests are governed by the same course drop deadlines and penalties (e.g., WD and WF grades) as other courses. Refer to important dates on Quest.
• Dropping PSYCH 499B and/or PSYCH 499C in the current term does not remove PSYCH 499A or PSYCH 499B from earlier terms.
• If a student does not complete the honours thesis, any INC (incomplete) grades for PSYCH 499A/B/C will be converted to FTC (Failure to Complete = 32% in the average calculations). Further, any IP (In Progress) grades for PSYCH 499A/B/C will be converted to FTC (=32%).
• Honours students with INC and/or IP grades will be unable to graduate (e.g., with a General BA in Psych) until those grades are replaced by a final grade(s) (e.g., 32%) and the grade(s) has been factored into the average calculation. In such cases, the student must meet all graduation requirements, including overall average, Psychology average and minimum number of courses required.
• Those who want any grades (e.g., INC, IP, WD, WF, FTC, 32%) for PSYCH 499 removed from their records are advised to submit a petition to the Examinations and Standings Committee. Before doing so, they should consult with the Psychology undergraduate advisor.

Course requirements for PSYCH 499A - progress report and thesis reviewer nominations

Students should attend the honours thesis orientation meeting during the PSYCH 499A term even if they attended a meeting during second or third year. The meeting is usually the first week of classes each academic term. The official date and time will be posted on the PSYCH 499 website . At the meeting, the PSYCH 499 coordinator will describe what is involved in doing an honours thesis and answer questions. Students will also receive information regarding library resources and procedures for obtaining ethics clearance.

Students must report the name of their thesis supervisor to the PSYCH 499 course administrator in the Psychology Undergraduate Office by the eighth day of classes for the PSYCH 499A term. During the PSYCH 499A term, students must

• conduct background research on the thesis topic (e.g., formulate a research question, review relevant literature, formulate major hypotheses)
• nominate potential thesis reviewers
• submit a progress report to the PSYCH 499 coordinator .

Progress reports

Progress reports are due the last day classes for the PSYCH 499A term. The thesis supervisor must sign the progress report before it is submitted to the PSYCH 499 coordinator . Submit the progress report directly to the course coordinator's mailbox in PAS 3021A or via email, cc'ing the course administrato r and your supervisor to give confirmation that they have "signed off" on your progress report (this can pose as the signature). Students should keep a copy of their progress report because the reports will not be returned. The PSYCH 499 coordinator will contact individual students by email if there is a problem with their progress report.

The progress report should be about 5-10 pages in length and include the following information:

• a title page identifying the document as a "PSYCH 499A Progress Report", with the proposed title of the project; student's name, address, telephone number, and email address; the student's ID number, the name of the honours thesis supervisor; and the signature of the supervisor indicating that he or she has read the report and approved it;
• a statement of the general topic of the proposed research;
• a brief account of the background literature the student has read, together with a brief explanation of its relevance for the project;
• a clear statement of the research questions and/or the major hypotheses that the study will address;
• a brief statement of the further steps that will be necessary to complete (e.g., settling on a research design, etc.) before the student will be ready to submit a research proposal and do an oral presentation.

PSYCH 499A students who are not concurrently enrolled in PSYCH 499B typically do not have a fully developed research proposal by the end of the first term of PSYCH 499. The progress reports should be submitted on time and should include as much detail regarding the research proposal as possible (see next section for further details).

Some PSYCH 499A students who are not concurrently enrolled in PSYCH 499B will firm up their research proposals earlier than expected and will want to do, and are encouraged to do, the oral presentation of the research proposal in the first term of PSYCH 499 (see next section for further details). In these cases, the IP (In Progress) grade for PSYCH 499B will be applied to the academic term in which the student formally enrols for PSYCH 499B.

Students who submit progress reports will receive an IP (In Progress) grade for PSYCH 499A; those who do not will receive an INC (Incomplete) grade for PSYCH 499A. INC and IP grades for PSYCH 499 do not impact on average calculations and students with either of these grades can be considered for the Dean's honours list. However, students with INC grades are not eligible for scholarship consideration. Note that INC grades convert to FTC (failure to complete = 32%) after 70 days.

Thesis reviewer

The thesis reviewer is due by the last day of classes for the term for students who enrol in PSYCH 499A only and they are due by the end of the third week of the term for students who enrol concurrently in PSYCH 499A/B.  You will work with your supervisor to decide who would be a strong reviewer and will plan this out with that reviewer. Once your reviewer is determined, please email the course administrator . The thesis reviewer’s duties will include reading the thesis proposal and attending the oral presentation in the PSYCH 499B term and reading and grading the final thesis at the end of the PSYCH 499C term.

Full-time faculty members in the UW Psychology Department and the four Psychology faculty members at St. Jerome's are all potential thesis reviewers. (Note: the student’s thesis supervisor cannot be the thesis reviewer). Students may consult with their thesis supervisors for advice about which faculty members to request as potential thesis reviewers. Several types of considerations might guide whom students seek as potential reviewers. For example, a student may seek a reviewer who has expertise in the topic they are studying, or they may seek breadth by requesting a reviewer with expertise in a quite distinct area of study, or they may seek a reviewer who has expertise in a relevant type of statistical analysis. It is up to the student, in consultation with their supervisor, to determine what factors to prioritise in selecting potential reviewers.

Course requirements for PSYCH 499B - oral presentation of the thesis proposal

During the PSYCH 499B term, students must finalize the research proposal for their honours thesis project and present this information orally to their thesis reviewer and the student’s thesis supervisor. Although the presentation is not graded, it is a course requirement that must precede the completed thesis. The presentation gives the student an opportunity to discuss their research proposals with a wider audience and to receive feedback regarding their literature review and the scope, design, testing procedures, etc., for their projects.

It is also essential that students who are doing an empirical research project involving human or animal participants formally apply for ethics clearance, and that they receive ethics clearance before beginning data collection (see 'Obtaining Ethics Clearance for Research with Human or Animal Participants' for further details).

Students should contact the   PSYCH 499 course administrator in the Psychology Undergraduate Office early in the PSYCH 499B term to book the date and time for their oral presentation. When booking, students are asked to indicate if they will be presenting virtually, or in-person and should mention if the presentation is open to other students to attend. Students are asked to book their presentation as early as possible to ensure space is available The thesis reviewer will attend and conduct the presentation. Presentations occur during the first three months of each term (available dates/times and current presentation schedule are posted on the PSYCH 499 website ). The presentation should be 25 minutes in length followed by a 25 minute period for discussion and questions. Students are encouraged to attend other students' presentations when available.

A written version of the research proposal must be submitted to the mailbox or email of the thesis reviewer at least two business days prior to the scheduled date of the student's oral presentation of the proposal (meaning no later than 4:30pm Thursday for a Tuesday presentation). For empirical research projects, the proposal must include the following: a title page identifying the document as a "PSYCH 499B Research Proposal"; a brief review of the relevant scientific literature; a clear statement of the research question and major hypotheses to be examined; the planned method, including the number and types of participants, the design, the task or tests to be given, and the procedure to be used; the statistical tests and comparisons that are planned; and the expected date for beginning data collection. For a theoretical research project, the proposal must include a clear review of the issues, theories, or constructs to be analyzed; a description of the scholarly database to be used (including a list of important references); and a clear account of the intended contribution of the work (i.e., how it will advance understanding).

The research proposal must be approved and signed by the student's thesis supervisor before the proposal is submitted to the thesis reviewer . Students can get a better idea of the content and format required for the research proposal by referring to the methods section of completed honours theses. Students should keep a copy of their research proposal because the copy that is submitted to the  thesis reviewer will not be returned.

All PSYCH 499 students must complete the ' TCPS 2 Tutorial Course on Research Ethics (CORE) ' before the research ethics application on which they are named is submitted for approval. In addition, all PSYCH 499 students must complete a "Researcher Training" session with the REG Coordinator .

Students who have completed the oral presentation requirement will receive an IP (In Progress) grade for PSYCH 499B; those who have not will receive an INC (Incomplete) grade for PSYCH 499B. INC and IP grades for PSYCH 499 do not impact on average calculations and students with either of these grades can be considered for the Dean's honours list. However, students with INC grades are not eligible for scholarship consideration. Note that INC grades convert to FTC (failure to complete = 32%) after 70 days.

Students who enrol in PSYCH 499A and 499B in the same term and satisfy the oral presentation requirement that term will not be required to also submit a progress report.

On-line surveys

Honours thesis students who require assistance regarding research software and the development of on-line surveys, beyond advice from the honours thesis supervisor, may wish to seek advice from Bill Eickmeier (Computer Systems Manager and Research Programmer; PAS 4008; ext 36638; email  [email protected] ). Students are expected to manage much of this process independently and will be given access to a self-help website. Most students will be able to work independently using a Qualtrics account provided by the thesis supervisor, or using the  web form template notes  Bill has posted on the web. However, Bill is available to provide additional guidance if he is given at least three to four weeks advance notice.

Caution regarding off-campus data collection

If you are planning to collect data off-campus, please read carefully the " Field Work Risk Management " requirements provided by the University of Waterloo Safety Office. "Field Work" refers to any activity undertaken by members of the university in any location external to University of Waterloo campuses for the purpose of research, study, training or learning.

We assume that insurance for private vehicles is up to the owners and that insurance for rental vehicles, if applicable, would be through the rental company. Further details of University of Waterloo policies regarding travel .

Please discuss your plans for off-campus data collection with your thesis supervisor and the  PSYCH 499 coordinator in advance to ensure that all bases are covered with regards to waivers, insurance, etc.

In the PSYCH 499C term, students will complete the data collection for their project (see the previous paragraphs if using on-line surveys or doing off-campus data collection), analyze/evaluate the data, and finish writing the honours thesis. The honours thesis must be written in the form indicated by the American Psychological Association (APA) Publication Manual (available at the Bookstore), but may be more abbreviated than a regular journal article. Sample honours theses can be found in the Learn shell.

For an empirical research project, the following sections are required in the thesis:

• introduction (literature review and the hypothesis)
• methods (participants, design, task or test to be given, testing procedures, measures)

It is not necessary to append ORE application forms to the completed honours thesis. However, a copy of the formal notification of ethics clearance is required.

The sections and subsections required for theoretical papers will be slightly different than for empirical research projects, and will vary according to the topic being studied. If possible, students should plan the layout for the theoretical paper in the PSYCH 499B term because the plan may guide their literature review. Students should consult with their thesis supervisor and the  PSYCH 499 coordinator  about the layout.

Normally students will receive feedback from their thesis supervisor on at least one or two (and often more) drafts of the thesis before the final paper is submitted for marking. Be sure to leave adequate time for this process.

Submitting the thesis for marking

The final version of the thesis is due the last day the class period for the PSYCH 499C term.  However, due dates do change each term dependent on grade submission deadlines held by the registrar’s office, so it is important to follow the due date on our official due date page.  See 'Extensions on the thesis submission deadline' below regarding requests for extensions.

In order for the Psychology Department to track theses that are submitted for marking and ensure that marks are forwarded to the Registrar's Office as quickly as possible, students must submit an electronic copy of the honours thesis to  the PSYCH 499 course administrator  who will coordinate grading by the thesis supervisor and the thesis reviewer , and will submit PSYCH 499 grades to the Registrar's Office. The honours thesis does not need to be signed by the thesis supervisor. The marking process is as follows:

• Receipt of the thesis will be recorded and an electronic copy of the thesis will be forwarded to the student's thesis supervisor and reviewer with a grading form for comments.
• The thesis supervisor will return the grading form with comments and a grade recommendation to the PSYCH 499 course administrator and the thesis reviewer.
• The thesis reviewer will be responsible for assigning the final grade and will return the completed grading form to the PSYCH 499 course administrator .
• T he PSYCH 499 course administrator will notify the student and the Registrar's Office of the final grade. The final numerical grade for the thesis will be recorded for each of PSYCH 499A, 499B, and 499C.
• Page 2 of the grading form will be returned to the student.

Extensions on the thesis submission deadline

We will do our best to ensure that students graduate at the preferred convocation date; however, we cannot guarantee that students who submit honours theses for marking after the deadline will be able to graduate at the preferred convocation date.

Students should refer to the PSYCH 499 website on a regular basis for information regarding PSYCH 499 deadlines that may affect the target date for submitting the honours thesis for marking (e.g., for getting one's name on the convocation program, for sending transcripts and/or letters regarding completion of the degree to other schools for admission purposes, to be considered for awards, etc.).

We strongly advise that students submit the thesis for marking at least four to six weeks prior to the date of convocation. Further, they should confirm that their thesis supervisor will be available to grade the thesis within a few days following submission of the thesis.

Students who do not submit an honours thesis for marking by the end of the examination period for the PSYCH 499C term require approval for an extension from their thesis supervisor. After speaking with the thesis supervisor, the student must report the revised date of completion to the PSYCH 499 course administrator . They will be given an IP (In Progress) grade for PSYCH 499C if they have done the oral presentation for PSYCH 499B and if they are making reasonable progress on the thesis. Otherwise, an INC (Incomplete) grade will be submitted for PSYCH 499C. INC and IP grades for PSYCH 499 do not impact on average calculations and students with either of these grades can be considered for the Dean's honours list. However, students with INC grades are not eligible for scholarship consideration. Note that INC grades convert to FTC (failure to complete = 32%) after 70 days.

Notes: 1. Honours students with INC and/or IP grades for PSYCH 499ABC will be unable to graduate (e.g., with a General BA in Psychology) until those grades are replaced by final grades (e.g., 32%) and the grades have been factored into the average calculation. In such cases, the student must meet all graduation requirements, including overall average, Psychology average, and minimum number of courses required. 2. If IP grades for all of PSYCH 499ABC remain on the record for 12 months following the PSYCH 499C term, the Registrar's Office will convert the IP grades to FTC (failure to complete = 32%). If this occurs, consult with the Psychology undergraduate advisor regarding your options.

Capture your thesis on video!

As of Fall 2012, we are asking honours thesis students if they'd like to take part in a voluntary "video snapshot" of their work. This is a great way to tell others about your thesis, and your experience at the University of Waterloo.

Upon completion of your thesis and submission of your 499C document, we are asking students to arrange for someone from their supervisor's lab to take a short 1-2 minute video clip of you the student.  In that video, we'd like to hear a 'grand summary of what you researched, and what you found out'. We'd also love to hear about 'what you learned in the honours thesis course'.

These video clips can be taken with a smartphone (or other video camera), then emailed to the PSYCH 499 coordinator  or the PSYCH 499 course administrator . Alternatively you can arrange a time to be videotaped by the course administrator (ideally when handing in your 499C final thesis document).

Completing a video is optional, and should be done ideally within two weeks of submission of your thesis. Whether or not you choose to capture your thesis on video will in no way affect your grade in the 499 honours thesis course. Once we have reviewed the video we will upload it to our Psychology website for general viewing by the public. Permission forms to release your photo/video on the Department of Psychology’s website will be available from the  PSYCH 499 coordinator . The Model Release Form can also be found on Waterloo's Creative Services website.

Convocation awards

Each year the Psychology Department nominates a student(s) for the following awards: Governor General Silver Medal (university level), the Alumni Gold Medal (faculty level), and the Psychology Departmental convocation award. These awards are only given at the June convocation. Typically, only honours students who have final grades for all course work, including the honours thesis, by the first week of May can be considered for these awards. Students whose overall and Psychology averages fall in the 88-100% range are strongly encouraged to adhere to the thesis submission deadlines noted above.

The Office of Research Ethics (ORE) at the University of Waterloo is responsible for the ethics review and clearance of all research conducted on and off-campus by University of Waterloo students, staff, and faculty that involves human and animal (live, non-human vertebrates) participants.

Research involving human or animal participants must not begin until notification of full ethics clearance has been provided by the ORE.

Information regarding the application and ethics review process for research involving human participants is available on the Office of Research Ethics web site. However, specific information regarding the ethics application process for Honours thesis research is provided below.

Information regarding the application and ethics review process for research involving animals is also available on the Office of Research Ethics web site.

For individual contacts in the ORE, see 'Contacts' in this handbook.

Ethics Application: Once the rationale and hypotheses for the thesis project have been formulated and basic design and procedures have been determined, the student may submit the project for ethics review and clearance.

In order to ensure that students have a good understanding of the ethics review process and guidelines they are required to complete the TCPS2 -2022 CORE Tutorial (described below) prior to preparing your ethics application.

Upon completion of the CORE Tutorial, the student may begin the ethics application by signing onto the Kuali System for Ethics located at UWaterloo Ethics either starting the application on their own, or having the Thesis Advisor begin it. Please note that the student will need to have accessed the Kuali system in order for the Advisor to add them to the protocol. The advisor should be listed as the Principal Investigator and the level of research should be Senior Honours Thesis.

All Thesis projects require new ethics unless alternative arrangements have been made to make use of a currently running project. This should be discussed with the thesis advisor and approval should be obtained from the department to create an amendment for the project.

Upon receipt of Full Ethics Clearance, and if the student and supervisor are sure that there will be no revisions to the design or procedures, then data collection may begin. Whenever possible though, we encourage you to complete the Research Proposal and Oral Presentation before you begin data collection.

Note that procedures for applying for ethics clearance vary according to the type of sample -- for example, university students versus children in the Early Childhood Education Centre, etc. Further details are provided below.

Study Modifications: Based on feedback provided at the student’s Oral Presentation, the student and thesis supervisor may decide to make some modifications to the research plans. If the ethics application has not yet been submitted for review, then the changes can be incorporated into the application. If you have received ethics clearance, then you will need to submit an amendment by logging into Kuali and selecting the amendment option from the right hand side.

Human Participants in Research

Honours Thesis students must read and be familiar with the University of Waterloo guidelines and procedures for conducting research with human participants before submitting their applications for ethics clearance to conduct research.

The following is an excerpt from the guidelines:

“The ethics review process is intended to offer a level of assurance to research participants, the investigators and the University that research participants will be involved in ethically sound and well-designed research, and will be engaged in a prior consent process that is fully informed and voluntary. The ethics review process also ensures adequate protection of individuals’ privacy as well as confidentiality of information they provide. In addition, the ethics review process increases the probability that all known and anticipated risks associated with the research are identified and adequately communicated to participants prior to participation. Moreover, it ensures that the known and potential risks are judged to be outweighed by potential benefits from conducting the research. Procedures used to recruit participants are examined to ensure they are free of explicit or implicit coercion and enable participants to withdraw their consent at any time without fear of reprisal.”

Research conducted in the Psychology department follows the ethical guidelines set out in the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans, 2nd edition (TCPS 2 - 2022).

Please note that effective January 1, 2024 you will need to be up to date with your TCPS to include the 2022 version. If you have only completed the TCPS2 you will need to renew your certification.

Associated with the TCPS 2-2022 is an online tutorial called Course on Research Ethics (CORE). CORE is comprised of 9 modules, is self-paced and includes interactive exercises and multi-disciplinary examples. A certificate of completion is provided. CORE replaces and updates the earlier TCPS Tutorial. In order to ensure that you have a better understanding of the ethics review guidelines you are required to complete the CORE Tutorial prior to submitting your ethics application. Please note that if you have already completed the CORE Tutorial as an RA for example, you are not required to complete it again. Upon completion of the CORE Tutorial please send a copy of the Completion Certificate to the DERC Officer . The link to CORE is: http://pre.ethics.gc.ca/eng/education/tutorial-didacticiel/

The particular procedures for applying for ethics clearance for research with human participants depends on the population from which participants are obtained; however, all projects require the submission of an application form to the Office of Research Ethics (ORE).

Note : All research ethics applications must include:

• REG (Sona Description), PSYCPool (email/phone scripts), SLC (Flyer/Poster)
• Information/Consent Letter (+ Post-debriefing Consent if deception)
• Feedback/Appreciation Letter (+ Oral Debriefing if deception)
• Survey/Questionnaire/Interview items/Stimulus Appendices
• Research Proposal

Thesis supervisors and reviewers are given the following guidelines when they are asked to recommend a final grade for the honours thesis:

Each year, the Psychology Department recognizes the achievement of a small number of students who have produced the most outstanding honours theses. Theses will be considered for a thesis award if the thesis supervisor nominates the student and the thesis receives a final grade of 93 or above. Theses submitted for marking after the second Friday in May will not be considered for a thesis award. Nominated theses will be reviewed to select the award recipients and the recipients will be notified by the Psychology Undergraduate Office.

The thesis conference is an informal forum for students to present (orally or in poster format) a summary of their honours thesis to a friendly and enthusiastic audience of their peers and to discuss their work with others who have similar interests.

Registration is required. There is no registration fee for presenters or thesis supervisors and lunch is provided. Participants report that the event is very worthwhile and enjoyable. Clearly a great way to end fourth year!

The conference is typically held at the end of April or early May. If you will be presenting at the conference, data collection for the thesis should be completed by March. You are not required to present a complete analysis of your thesis results at the conference.

Further details about the thesis conference

Failing to adhere to established standards in the conduct of research is a serious offence. Please refer to "Obtaining ethics clearance for research" above for further details.

Students should also familiarize themselves with Policy 71 (Student Academic Discipline Policy) as well as the advice from the Faculty of Arts regarding avoiding academic offences .

Please check the Information Systems & Technology (IST) Department website for information regarding setting up your University of Waterloo computer account, accessing the internet, costs for printing, accessing your account from off-campus, etc. If you are enrolled in the Faculty of Arts, please also check the Arts Computing Office website for information.

The University of Waterloo computer accounts give students free access to applications such as word processing, statistical and graphics packages, spreadsheets, and electronic mail. Students also have access to the internet which allows them to use Waterloo's Electronic Library including the electronic journal article databases. Students are charged for printing and can put money for printing on to their resource account at various locations across campus including PAS 1080 using their WatCard.

It is critical that the University (e.g., administration, instructors, academic advisors, etc.) can reach you reliably by email (e.g., regarding academic standing, degree requirements, deadlines, etc.). If you are using a web email account such as Hotmail or Yahoo, we strongly encourage you to consider using a more reliable email account such as your Waterloo account. Your Waterloo account is just as easy to use from off-campus as other free web accounts but is more secure. You can access your Waterloo account from the " mywaterloo " website.

If you are using an email address other than your Waterloo email address you should do one of the following two things:

• change the email address that you want posted on the university directory, or
• activate your Waterloo account and arrange for the email from your Waterloo account to be forwarded to your alternate email address. The alternate email address will not appear on the university directory.

Intent to Graduate Forms and general convocation information is available on the Registrar's Office website. Students who want to graduate in June must submit an Intent to Graduate Form to the Registrar's Office before March 1. The deadline to apply for  October convocation is August 1. Students who apply to graduate, but do not complete their honours thesis in time to graduate at the preferred convocation must submit another Intent to Graduate Form for the next convocation.

Those who submit their thesis for marking beyond the end of the final examination period for the PSYCH 499C term should refer to " Extensions on the thesis submission deadline " for further details regarding graduation deadlines.

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Understanding honours

Honours is an additional qualification where you can build on your undergraduate studies by completing a self-directed research project and disciplinary or research-focused coursework. This may be integrated into your undergraduate degree or require an additional year of study.

Overview and types of honours

• Eligibility and preparing for honours
• Honours awards and classes

You can undertake honours either as part of the combined Bachelor of Advanced Studies, or through an appended honours course after your undergraduate degree. Some professional or specialist degrees also have embedded or integrated honours.

Honours provides an opportunity to work on an independent but supervised research project and is usually completed as one year full-time study (some disciplines offer part-time options).

Under the guidance of an academic supervisor, you will choose a thesis topic, create a reading list and identify your method of research.

Academics in your faculty or school will provide supervision as you write your thesis. This thesis will document your research from proposal through to conclusion.

Why study honours?

Completing honours shows you have achieved high academic standards and gives you an honours-level award.

An honours pathway can open the door for further research study, equipping you with the prerequisite research skills to undertake a research degree such as the PhD.

Alternatively, if you decide to only complete an honours pathway without pursuing further research, you will graduate with a robust set of transferrable skills including:

• time management and research skills
• project management and delivery
• showing future employers that you can investigate independently and achieve more complex goals.

What’s involved

Generally, honours will consist of three components:

• an independent research project, mentored by your academic supervisor
• additional units in research design/technical training
• some honours and coursework units.

You will usually complete a dissertation or thesis and attend regular meetings with your supervisor to discuss your research.

Once you complete the requirements for your honours, you will graduate with an honours level award.

You can contact the faculty or school honours coordinator from the area of interest you are considering, for more information about honours. We also hold honours information sessions (usually in September) where you can discuss your options.

Types of honours

The type of honours you undertake depends on your individual study circumstances.

Honours in the combined Bachelor of Advanced Studies

If you are completing a combined Bachelor of Advanced Studies and are eligible, you can elect to complete embedded honours in either of your two majors in the final year of your studies. Be aware that some streams do not allow you to undertake honours in your second major or as an embedded component in the combined degree. Check our applying for honours pages  and your handbook for more information about options available to you. 

If you are completing an eligible degree and commenced your studies in 2018 or later (or transferred to the new curriculum version of your degree in 2018) and are on track to complete two majors by the end of your degree, you can apply to transfer to a combined Bachelor of Advanced Studies up until your penultimate semester of study. This adds an additional year to your single bachelor’s degree in which you will complete your honours, and means you will graduate with two bachelor’s degrees.

Transferring to the combined Bachelor of Advanced Studies

If you are a Commonwealth supported student (who commenced your degree prior to 2021) and you are considering transferring to a combined Bachelor of Advanced Studies degree, you’ll need to apply for a new course enrolment. This means you will be charged the new Jobs-ready Graduates Package fee rates for units you need to complete in your new degree. You won’t be re-charged the new fee rates for any units you already completed under the old rates.

Please carefully check information on our Tuition fees page and consider the implications of transferring courses before you take any action.

For more information regarding the Jobs-ready Graduates Package and fee changes, please visit www.studyassist.gov.au

Appended honours

Appended honours is an additional course that you complete after you have finished your undergraduate degree. Generally, appended honours is available to both current University of Sydney students and external applicants. You’ll find information and eligibility criteria for most appended honours degrees in Find a course .

As a current student, often you'll need to apply through Find a course in the same way that external applicants apply, but may also need to submit an additional application form to your school or discipline. When searching for these on Sydney Courses (Find a course) these degrees will look like the Bachelor of Arts (Honours).

Embedded honours

Some bachelor’s degrees have honours embedded within them. You will complete your honours study in the final semesters of your current undergraduate degree by completing specific units. Honours will not increase the overall time taken to complete your studies.

Generally, you will apply for embedded honours directly to your faculty or school.

Integrated honours

There may be some specialist and professional degrees where you complete honours integrated within the duration of your degree. You won’t have to apply separately to do honours and won’t need to complete specific honours units. An example is the Bachelor of Engineering.

Double and joint honours

In some situations it is possible to complete either double honours or joint honours.

Double honours means you complete two separate honours theses in different subject areas. This normally takes an additional year, extending your studies to two years full time.

Joint honours is when you complete an honours thesis in two subject areas closely related to each other. A special program of study is designed that allows you to complete the course concurrently in one year.

To apply for double or joint honours, you need to meet the eligibility requirements for both honours.

Contact the honours coordinator in your faculty or school to discuss your options.

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What is an honours thesis? For whom is it written? How should it be written?

The structure., introduction., literature review., materials and methods., discussion., conclusions and suggestions for further work., references., appendices (if any)., general notes:, how much detail, make it clear what is yours., presentation..

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Ten things I wish I'd known before starting my dissertation

The sun is shining but many students won't see the daylight. Because it's that time of year again – dissertation time.

Luckily for me, my D-Day (dissertation hand-in day) has already been and gone. But I remember it well.

The 10,000-word spiral-bound paper squatted on my desk in various forms of completion was my Allied forces; the history department in-tray was my Normandy. And when Eisenhower talked about a "great crusade toward which we have striven these many months", he was bang on.

I remember first encountering the Undergraduate Dissertation Handbook, feeling my heart sink at how long the massive file took to download, and began to think about possible (but in hindsight, wildly over-ambitious) topics. Here's what I've learned since, and wish I'd known back then…

1 ) If your dissertation supervisor isn't right, change. Mine was brilliant. If you don't feel like they're giving you the right advice, request to swap to someone else – providing it's early on and your reason is valid, your department shouldn't have a problem with it. In my experience, it doesn't matter too much whether they're an expert on your topic. What counts is whether they're approachable, reliable, reassuring, give detailed feedback and don't mind the odd panicked email. They are your lifeline and your best chance of success.

2 ) If you mention working on your dissertation to family, friends or near-strangers, they will ask you what it's about, and they will be expecting a more impressive answer than you can give. So prepare for looks of confusion and disappointment. People anticipate grandeur in history dissertation topics – war, genocide, the formation of modern society. They don't think much of researching an obscure piece of 1970s disability legislation. But they're not the ones marking it.

3 ) If they ask follow-up questions, they're probably just being polite.

4 ) Do not ask friends how much work they've done. You'll end up paranoid – or they will. Either way, you don't have time for it.

5 ) There will be one day during the process when you will freak out, doubt your entire thesis and decide to start again from scratch. You might even come up with a new question and start working on it, depending on how long the breakdown lasts. You will at some point run out of steam and collapse in an exhausted, tear-stained heap. But unless there are serious flaws in your work (unlikely) and your supervisor recommends starting again (highly unlikely), don't do it. It's just panic, it'll pass.

6 ) A lot of the work you do will not make it into your dissertation. The first few days in archives, I felt like everything I was unearthing was a gem, and when I sat down to write, it seemed as if it was all gold. But a brutal editing down to the word count has left much of that early material at the wayside.

7 ) You will print like you have never printed before. If you're using a university or library printer, it will start to affect your weekly budget in a big way. If you're printing from your room, "paper jam" will come to be the most dreaded two words in the English language.

8 ) Your dissertation will interfere with whatever else you have going on – a social life, sporting commitments, societies, other essay demands. Don't even try and give up biscuits for Lent, they'll basically become their own food group when you're too busy to cook and desperate for sugar.

9 ) Your time is not your own. Even if you're super-organised, plan your time down to the last hour and don't have a single moment of deadline panic, you'll still find that thoughts of your dissertation will creep up on you when you least expect it. You'll fall asleep thinking about it, dream about it and wake up thinking about. You'll feel guilty when you're not working on it, and mired in self-doubt when you are.

10 ) Finishing it will be one of the best things you've ever done. It's worth the hard work to know you've completed what's likely to be your biggest, most important, single piece of work. Be proud of it.

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Thesis Structure

This page outlines the stages of an honours thesis and provides links to other pages that will give you more information and some examples from past theses.

Stages of a thesis (in order)

Write this last. It is an overview of your whole thesis, and is between 200-300 words.

See writing abstracts for honours theses for what to include in your abstract or see some example abstracts .

Introduction

Usually longer than an abstract, and provides the following:

• background to the topic;
• brief review of current knowledge (Can include literature review in some schools);
• indicates gap in knowledge, states aim of your research and how it fits into the gap;
• can include hypotheses; can include an outline of the following chapters.

See thesis introductions exercises for more information.

• Literature review

Often part of the Introduction, but can be a separate section. It is an evaluation of previous research on your topic, where you show that there is a gap in the knowledge that your research will attempt to fill. The key word here is evaluation.

See literature reviews for more information and examples to get you started on your literature review.

Often the easiest part of the thesis to write. Outlines which method you chose and why (your methodology); what, when, where, how and why you did what you did to get your results.

Here are some sample methods .

Outlines what you found out in relation to your research questions or hypotheses, presented in figures and in written text.

Results contain the facts of your research. Often you will include a brief comment on the significance of key results, with the expectation that more generalised comments about results will be made in the Discussion section. Sometimes Results and Discussion are combined: check with your supervisor and with highly rated past theses in your School.

Here are some suggestions for writing up results .

The Discussion section:

• comments on your results;
• explains what your results mean;
• interprets your results in a wider context; indicates which results were expected or unexpected;
• provides explanations for unexpected results.

The Discussion should also relate your specific results to previous research or theory. You should point out what the limitations were of your study, and note any questions that remain unanswered. The Discussion CAN also include Conclusions/Future Research. Check with your supervisor.

See our theses in discussion page for more information or try these exercises .

• Conclusions

Very important! This is where you emphasise that your research aims/objectives have been achieved.

You also emphasise the most significant results, note the limitations and make suggestions for further research.

Conclusions can include Future Directions. Check with your supervisor.

For more information see conclusions in honours theses or sample conclusions .

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FAQ: What is a thesis statement and how do I write one?

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Last Updated: Apr 01, 2024 Views: 10

What is a thesis statement.

A thesis statement is a sentence that states the main idea of your paper. It is not just a statement of fact, but a statement of position. What argument are you making about your topic? Your thesis should answer that question.

How long should my thesis statement be?

Thesis statements are often just one sentence. Keep thesis statements concise, without extra words or information. If you are having trouble keeping your thesis statement to one sentence, consider the following:

• Is your thesis is specific enough?
• Does your thesis directly supports your paper?
• Does your thesis accurately describes your purpose or argue your claim?

Can I see some example thesis statements?

The following websites have examples of thesis statements:

• Thesis Statements This link opens in a new window (UNC)
• Tips and Examples for Writing Thesis Statements This link opens in a new window (OWL at Purdue)
• Writing an Effective Thesis Statement This link opens in a new window (Indiana River State College)

These web resources may be helpful if you are looking for examples. However, be sure to evaluate any sources you use! The Shapiro Library cannot vouch for the accuracy of information provided on external websites.

Where can I find more information?

Video tutorials.

• The Persuasive Thesis: How to Write an Argument This link opens in a new window (SNHU Academic Support)
• Research and Citation Playlist This link opens in a new window (SNHU Academic Support)
• Planning a Paper series: Drafting a Thesis Statement This link opens in a new window ( Infobase Learning Cloud - SNHU Login Required)

More Information

• Build a Critical Analysis Thesis This link opens in a new window (SNHU Academic Support)
• Build a Compare & Contrast Thesis This link opens in a new window  (SNHU Academic Support)
• Build a History Thesis This link opens in a new window  (SNHU Academic Support)
• Build a Persuasive Thesis This link opens in a new window  (SNHU Academic Support)

Further Help

This information is intended to be a guideline, not expert advice. Please speak to your instructor about the appropriate way to craft thesis statements for your class assignments and projects.

Campus Students

To access Academic Support, visit your Brightspace course and select “Tutoring and Mentoring” from the Academic Support pulldown menu.

Online Students

To access help with citations and more, visit the Academic Support via modules in Brightspace:

• Academic Support Overview: Getting Help with your Schoolwork This link opens in a new window

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Frequently asked questions

How long does it take to write a dissertation.

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.

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).

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.

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

Ask our team

Want to contact us directly? No problem. We are always here for you.

• Chat with us
• Email [email protected]
• Call +44 (0)20 3917 4242
• WhatsApp +31 20 261 6040

Our support team is here to help you daily via chat, WhatsApp, email, or phone between 9:00 a.m. to 11:00 p.m. CET.

Our APA experts default to APA 7 for editing and formatting. For the Citation Editing Service you are able to choose between APA 6 and 7.

Yes, if your document is longer than 20,000 words, you will get a sample of approximately 2,000 words. This sample edit gives you a first impression of the editor’s editing style and a chance to ask questions and give feedback.

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.

Read more about how the sample edit works

Yes, you can upload your document in sections.

We try our best to ensure that the same editor checks all the different sections of your document. When you upload a new file, our system recognizes you as a returning customer, and we immediately contact the editor who helped you before.

However, we cannot guarantee that the same editor will be available. Your chances are higher if

• 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.

Yes, our editors also work during the weekends and holidays.

Because we have many editors available, we can check your document 24 hours per day and 7 days per week, all year round.

If you choose a 72 hour deadline and upload your document on a Thursday evening, you’ll have your thesis back by Sunday evening!

Yes! Our editors are all native speakers, and they have lots of experience editing texts written by ESL students. They will make sure your grammar is perfect and point out any sentences that are difficult to understand. They’ll also notice your most common mistakes, and give you personal feedback to improve your writing in English.

Every Scribbr order comes with our award-winning Proofreading & Editing service , which combines two important stages of the revision process.

For a more comprehensive edit, you can add a Structure Check or Clarity Check to your order. With these building blocks, you can customize the kind of feedback you receive.

You might be familiar with a different set of editing terms. To help you understand what you can expect at Scribbr, we created this table:

View an example

When you place an order, you can specify your field of study and we’ll match you with an editor who has familiarity with this area.

However, our editors are language specialists, not academic experts in your field. Your editor’s job is not to comment on the content of your dissertation, but to improve your language and help you express your ideas as clearly and fluently as possible.

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!

After your document has been edited, you will receive an email with a link to download the document.

The editor has made changes to your document using ‘Track Changes’ in Word. This means that you only have to accept or ignore the changes that are made in the text one by one.

It is also possible to accept all changes at once. However, we strongly advise you not to do so for the following reasons:

• You can learn a lot by looking at the mistakes you made.
• The editors don’t only change the text – they also place comments when sentences or sometimes even entire paragraphs are unclear. You should read through these comments and take into account your editor’s tips and suggestions.
• With a final read-through, you can make sure you’re 100% happy with your text before you submit!

You choose the turnaround time when ordering. We can return your dissertation within 24 hours , 3 days or 1 week . These timescales include weekends and holidays. As soon as you’ve paid, the deadline is set, and we guarantee to meet it! We’ll notify you by text and email when your editor has completed the job.

Very large orders might not be possible to complete in 24 hours. On average, our editors can complete around 13,000 words in a day while maintaining our high quality standards. If your order is longer than this and urgent, contact us to discuss possibilities.

Always leave yourself enough time to check through the document and accept the changes before your submission deadline.

Scribbr is specialised in editing study related documents. We check:

• Graduation projects
• Dissertations
• Admissions essays
• College essays
• Application essays
• Personal statements
• Process reports
• Reflections
• Internship reports
• Academic papers
• Research proposals
• Prospectuses

Calculate the costs

The fastest turnaround time is 24 hours.

You can upload your document at any time and choose between three deadlines:

At Scribbr, we promise to make every customer 100% happy with the service we offer. Our philosophy: Your complaint is always justified – no denial, no doubts.

Our customer support team is here to find the solution that helps you the most, whether that’s a free new edit or a refund for the service.

Yes, in the order process you can indicate your preference for American, British, or Australian English .

If you don’t choose one, your editor will follow the style of English you currently use. If your editor has any questions about this, we will contact you.