how do you write a research aim

Aims and Objectives – A Guide for Academic Writing
Doing a PhD

One of the most important aspects of a thesis, dissertation or research paper is the correct formulation of the aims and objectives. This is because your aims and objectives will establish the scope, depth and direction that your research will ultimately take. An effective set of aims and objectives will give your research focus and your reader clarity, with your aims indicating what is to be achieved, and your objectives indicating how it will be achieved.

Introduction

There is no getting away from the importance of the aims and objectives in determining the success of your research project. Unfortunately, however, it is an aspect that many students struggle with, and ultimately end up doing poorly. Given their importance, if you suspect that there is even the smallest possibility that you belong to this group of students, we strongly recommend you read this page in full.

This page describes what research aims and objectives are, how they differ from each other, how to write them correctly, and the common mistakes students make and how to avoid them. An example of a good aim and objectives from a past thesis has also been deconstructed to help your understanding.

What Are Aims and Objectives?

Research aims.

A research aim describes the main goal or the overarching purpose of your research project.

In doing so, it acts as a focal point for your research and provides your readers with clarity as to what your study is all about. Because of this, research aims are almost always located within its own subsection under the introduction section of a research document, regardless of whether it’s a thesis , a dissertation, or a research paper .

A research aim is usually formulated as a broad statement of the main goal of the research and can range in length from a single sentence to a short paragraph. Although the exact format may vary according to preference, they should all describe why your research is needed (i.e. the context), what it sets out to accomplish (the actual aim) and, briefly, how it intends to accomplish it (overview of your objectives).

To give an example, we have extracted the following research aim from a real PhD thesis:

Example of a Research Aim

The role of diametrical cup deformation as a factor to unsatisfactory implant performance has not been widely reported. The aim of this thesis was to gain an understanding of the diametrical deformation behaviour of acetabular cups and shells following impaction into the reamed acetabulum. The influence of a range of factors on deformation was investigated to ascertain if cup and shell deformation may be high enough to potentially contribute to early failure and high wear rates in metal-on-metal implants.

Note: Extracted with permission from thesis titled “T he Impact And Deformation Of Press-Fit Metal Acetabular Components ” produced by Dr H Hothi of previously Queen Mary University of London.

Research Objectives

Where a research aim specifies what your study will answer, research objectives specify how your study will answer it.

They divide your research aim into several smaller parts, each of which represents a key section of your research project. As a result, almost all research objectives take the form of a numbered list, with each item usually receiving its own chapter in a dissertation or thesis.

Following the example of the research aim shared above, here are it’s real research objectives as an example:

Example of a Research Objective

Develop finite element models using explicit dynamics to mimic mallet blows during cup/shell insertion, initially using simplified experimentally validated foam models to represent the acetabulum.
Investigate the number, velocity and position of impacts needed to insert a cup.
Determine the relationship between the size of interference between the cup and cavity and deformation for different cup types.
Investigate the influence of non-uniform cup support and varying the orientation of the component in the cavity on deformation.
Examine the influence of errors during reaming of the acetabulum which introduce ovality to the cavity.
Determine the relationship between changes in the geometry of the component and deformation for different cup designs.
Develop three dimensional pelvis models with non-uniform bone material properties from a range of patients with varying bone quality.
Use the key parameters that influence deformation, as identified in the foam models to determine the range of deformations that may occur clinically using the anatomic models and if these deformations are clinically significant.

It’s worth noting that researchers sometimes use research questions instead of research objectives, or in other cases both. From a high-level perspective, research questions and research objectives make the same statements, but just in different formats.

Taking the first three research objectives as an example, they can be restructured into research questions as follows:

Restructuring Research Objectives as Research Questions

Can finite element models using simplified experimentally validated foam models to represent the acetabulum together with explicit dynamics be used to mimic mallet blows during cup/shell insertion?
What is the number, velocity and position of impacts needed to insert a cup?
What is the relationship between the size of interference between the cup and cavity and deformation for different cup types?

Difference Between Aims and Objectives

Hopefully the above explanations make clear the differences between aims and objectives, but to clarify:

The research aim focus on what the research project is intended to achieve; research objectives focus on how the aim will be achieved.
Research aims are relatively broad; research objectives are specific.
Research aims focus on a project’s long-term outcomes; research objectives focus on its immediate, short-term outcomes.
A research aim can be written in a single sentence or short paragraph; research objectives should be written as a numbered list.

How to Write Aims and Objectives

Before we discuss how to write a clear set of research aims and objectives, we should make it clear that there is no single way they must be written. Each researcher will approach their aims and objectives slightly differently, and often your supervisor will influence the formulation of yours on the basis of their own preferences.

Regardless, there are some basic principles that you should observe for good practice; these principles are described below.

Your aim should be made up of three parts that answer the below questions:

Why is this research required?
What is this research about?
How are you going to do it?

The easiest way to achieve this would be to address each question in its own sentence, although it does not matter whether you combine them or write multiple sentences for each, the key is to address each one.

The first question, why , provides context to your research project, the second question, what , describes the aim of your research, and the last question, how , acts as an introduction to your objectives which will immediately follow.

Scroll through the image set below to see the ‘why, what and how’ associated with our research aim example.

Note: Your research aims need not be limited to one. Some individuals per to define one broad ‘overarching aim’ of a project and then adopt two or three specific research aims for their thesis or dissertation. Remember, however, that in order for your assessors to consider your research project complete, you will need to prove you have fulfilled all of the aims you set out to achieve. Therefore, while having more than one research aim is not necessarily disadvantageous, consider whether a single overarching one will do.

Research Objectives

Each of your research objectives should be SMART :

Specific – is there any ambiguity in the action you are going to undertake, or is it focused and well-defined?
Measurable – how will you measure progress and determine when you have achieved the action?
Achievable – do you have the support, resources and facilities required to carry out the action?
Relevant – is the action essential to the achievement of your research aim?
Timebound – can you realistically complete the action in the available time alongside your other research tasks?

In addition to being SMART, your research objectives should start with a verb that helps communicate your intent. Common research verbs include:

Table of Research Verbs to Use in Aims and Objectives

Last, format your objectives into a numbered list. This is because when you write your thesis or dissertation, you will at times need to make reference to a specific research objective; structuring your research objectives in a numbered list will provide a clear way of doing this.

To bring all this together, let’s compare the first research objective in the previous example with the above guidance:

Checking Research Objective Example Against Recommended Approach

Research Objective:

1. Develop finite element models using explicit dynamics to mimic mallet blows during cup/shell insertion, initially using simplified experimentally validated foam models to represent the acetabulum.

Checking Against Recommended Approach:

Q: Is it specific? A: Yes, it is clear what the student intends to do (produce a finite element model), why they intend to do it (mimic cup/shell blows) and their parameters have been well-defined ( using simplified experimentally validated foam models to represent the acetabulum ).

Q: Is it measurable? A: Yes, it is clear that the research objective will be achieved once the finite element model is complete.

Q: Is it achievable? A: Yes, provided the student has access to a computer lab, modelling software and laboratory data.

Q: Is it relevant? A: Yes, mimicking impacts to a cup/shell is fundamental to the overall aim of understanding how they deform when impacted upon.

Q: Is it timebound? A: Yes, it is possible to create a limited-scope finite element model in a relatively short time, especially if you already have experience in modelling.

Q: Does it start with a verb? A: Yes, it starts with ‘develop’, which makes the intent of the objective immediately clear.

Q: Is it a numbered list? A: Yes, it is the first research objective in a list of eight.

Mistakes in Writing Research Aims and Objectives

1. making your research aim too broad.

Having a research aim too broad becomes very difficult to achieve. Normally, this occurs when a student develops their research aim before they have a good understanding of what they want to research. Remember that at the end of your project and during your viva defence , you will have to prove that you have achieved your research aims; if they are too broad, this will be an almost impossible task. In the early stages of your research project, your priority should be to narrow your study to a specific area. A good way to do this is to take the time to study existing literature, question their current approaches, findings and limitations, and consider whether there are any recurring gaps that could be investigated .

Note: Achieving a set of aims does not necessarily mean proving or disproving a theory or hypothesis, even if your research aim was to, but having done enough work to provide a useful and original insight into the principles that underlie your research aim.

2. Making Your Research Objectives Too Ambitious

Be realistic about what you can achieve in the time you have available. It is natural to want to set ambitious research objectives that require sophisticated data collection and analysis, but only completing this with six months before the end of your PhD registration period is not a worthwhile trade-off.

3. Formulating Repetitive Research Objectives

Each research objective should have its own purpose and distinct measurable outcome. To this effect, a common mistake is to form research objectives which have large amounts of overlap. This makes it difficult to determine when an objective is truly complete, and also presents challenges in estimating the duration of objectives when creating your project timeline. It also makes it difficult to structure your thesis into unique chapters, making it more challenging for you to write and for your audience to read.

Fortunately, this oversight can be easily avoided by using SMART objectives.

Hopefully, you now have a good idea of how to create an effective set of aims and objectives for your research project, whether it be a thesis, dissertation or research paper. While it may be tempting to dive directly into your research, spending time on getting your aims and objectives right will give your research clear direction. This won’t only reduce the likelihood of problems arising later down the line, but will also lead to a more thorough and coherent research project.

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Research Aims, Objectives & Questions

The “Golden Thread” Explained Simply (+ Examples)

By: David Phair (PhD) and Alexandra Shaeffer (PhD) | June 2022

The research aims , objectives and research questions (collectively called the “golden thread”) are arguably the most important thing you need to get right when you’re crafting a research proposal , dissertation or thesis . We receive questions almost every day about this “holy trinity” of research and there’s certainly a lot of confusion out there, so we’ve crafted this post to help you navigate your way through the fog.

Overview: The Golden Thread

What is the golden thread
What are research aims ( examples )
What are research objectives ( examples )
What are research questions ( examples )
The importance of alignment in the golden thread

What is the “golden thread”?

The golden thread simply refers to the collective research aims , research objectives , and research questions for any given project (i.e., a dissertation, thesis, or research paper ). These three elements are bundled together because it’s extremely important that they align with each other, and that the entire research project aligns with them.

Importantly, the golden thread needs to weave its way through the entirety of any research project , from start to end. In other words, it needs to be very clearly defined right at the beginning of the project (the topic ideation and proposal stage) and it needs to inform almost every decision throughout the rest of the project. For example, your research design and methodology will be heavily influenced by the golden thread (we’ll explain this in more detail later), as well as your literature review.

The research aims, objectives and research questions (the golden thread) define the focus and scope ( the delimitations ) of your research project. In other words, they help ringfence your dissertation or thesis to a relatively narrow domain, so that you can “go deep” and really dig into a specific problem or opportunity. They also help keep you on track , as they act as a litmus test for relevance. In other words, if you’re ever unsure whether to include something in your document, simply ask yourself the question, “does this contribute toward my research aims, objectives or questions?”. If it doesn’t, chances are you can drop it.

Alright, enough of the fluffy, conceptual stuff. Let’s get down to business and look at what exactly the research aims, objectives and questions are and outline a few examples to bring these concepts to life.

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Research Aims: What are they?

Simply put, the research aim(s) is a statement that reflects the broad overarching goal (s) of the research project. Research aims are fairly high-level (low resolution) as they outline the general direction of the research and what it’s trying to achieve .

Research Aims: Examples

True to the name, research aims usually start with the wording “this research aims to…”, “this research seeks to…”, and so on. For example:

“This research aims to explore employee experiences of digital transformation in retail HR.” “This study sets out to assess the interaction between student support and self-care on well-being in engineering graduate students”

As you can see, these research aims provide a high-level description of what the study is about and what it seeks to achieve. They’re not hyper-specific or action-oriented, but they’re clear about what the study’s focus is and what is being investigated.

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Research Objectives: What are they?

The research objectives take the research aims and make them more practical and actionable . In other words, the research objectives showcase the steps that the researcher will take to achieve the research aims.

The research objectives need to be far more specific (higher resolution) and actionable than the research aims. In fact, it’s always a good idea to craft your research objectives using the “SMART” criteria. In other words, they should be specific, measurable, achievable, relevant and time-bound”.

Research Objectives: Examples

Let’s look at two examples of research objectives. We’ll stick with the topic and research aims we mentioned previously.

For the digital transformation topic:

To observe the retail HR employees throughout the digital transformation. To assess employee perceptions of digital transformation in retail HR. To identify the barriers and facilitators of digital transformation in retail HR.

And for the student wellness topic:

To determine whether student self-care predicts the well-being score of engineering graduate students. To determine whether student support predicts the well-being score of engineering students. To assess the interaction between student self-care and student support when predicting well-being in engineering graduate students.

As you can see, these research objectives clearly align with the previously mentioned research aims and effectively translate the low-resolution aims into (comparatively) higher-resolution objectives and action points . They give the research project a clear focus and present something that resembles a research-based “to-do” list.

The research objectives detail the specific steps that you, as the researcher, will take to achieve the research aims you laid out.

Research Questions: What are they?

Finally, we arrive at the all-important research questions. The research questions are, as the name suggests, the key questions that your study will seek to answer . Simply put, they are the core purpose of your dissertation, thesis, or research project. You’ll present them at the beginning of your document (either in the introduction chapter or literature review chapter) and you’ll answer them at the end of your document (typically in the discussion and conclusion chapters).

The research questions will be the driving force throughout the research process. For example, in the literature review chapter, you’ll assess the relevance of any given resource based on whether it helps you move towards answering your research questions. Similarly, your methodology and research design will be heavily influenced by the nature of your research questions. For instance, research questions that are exploratory in nature will usually make use of a qualitative approach, whereas questions that relate to measurement or relationship testing will make use of a quantitative approach.

Let’s look at some examples of research questions to make this more tangible.

Research Questions: Examples

Again, we’ll stick with the research aims and research objectives we mentioned previously.

For the digital transformation topic (which would be qualitative in nature):

How do employees perceive digital transformation in retail HR? What are the barriers and facilitators of digital transformation in retail HR?

And for the student wellness topic (which would be quantitative in nature):

Does student self-care predict the well-being scores of engineering graduate students? Does student support predict the well-being scores of engineering students? Do student self-care and student support interact when predicting well-being in engineering graduate students?

You’ll probably notice that there’s quite a formulaic approach to this. In other words, the research questions are basically the research objectives “converted” into question format. While that is true most of the time, it’s not always the case. For example, the first research objective for the digital transformation topic was more or less a step on the path toward the other objectives, and as such, it didn’t warrant its own research question.

So, don’t rush your research questions and sloppily reword your objectives as questions. Carefully think about what exactly you’re trying to achieve (i.e. your research aim) and the objectives you’ve set out, then craft a set of well-aligned research questions . Also, keep in mind that this can be a somewhat iterative process , where you go back and tweak research objectives and aims to ensure tight alignment throughout the golden thread.

The importance of strong alignment

Alignment is the keyword here and we have to stress its importance . Simply put, you need to make sure that there is a very tight alignment between all three pieces of the golden thread. If your research aims and research questions don’t align, for example, your project will be pulling in different directions and will lack focus . This is a common problem students face and can cause many headaches (and tears), so be warned.

Take the time to carefully craft your research aims, objectives and research questions before you run off down the research path. Ideally, get your research supervisor/advisor to review and comment on your golden thread before you invest significant time into your project, and certainly before you start collecting data .

Recap: The golden thread

In this post, we unpacked the golden thread of research, consisting of the research aims , research objectives and research questions . You can jump back to any section using the links below.

As always, feel free to leave a comment below – we always love to hear from you. Also, if you’re interested in 1-on-1 support, take a look at our private coaching service here.

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project.

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37 Comments

Thank you very much for your great effort put. As an Undergraduate taking Demographic Research & Methodology, I’ve been trying so hard to understand clearly what is a Research Question, Research Aim and the Objectives in a research and the relationship between them etc. But as for now I’m thankful that you’ve solved my problem.

Well appreciated. This has helped me greatly in doing my dissertation.

An so delighted with this wonderful information thank you a lot.

so impressive i have benefited a lot looking forward to learn more on research.

I am very happy to have carefully gone through this well researched article.

Infact,I used to be phobia about anything research, because of my poor understanding of the concepts.

Now,I get to know that my research question is the same as my research objective(s) rephrased in question format.

I please I would need a follow up on the subject,as I intends to join the team of researchers. Thanks once again.

Thanks so much. This was really helpful.

i found this document so useful towards my study in research methods. thanks so much.

This is my 2nd read topic in your course and I should commend the simplified explanations of each part. I’m beginning to understand and absorb the use of each part of a dissertation/thesis. I’ll keep on reading your free course and might be able to avail the training course! Kudos!

Thank you! Better put that my lecture and helped to easily understand the basics which I feel often get brushed over when beginning dissertation work.

This is quite helpful. I like how the Golden thread has been explained and the needed alignment.

This is quite helpful. I really appreciate!

The article made it simple for researcher students to differentiate between three concepts.

Very innovative and educational in approach to conducting research.

I am very impressed with all these terminology, as I am a fresh student for post graduate, I am highly guided and I promised to continue making consultation when the need arise. Thanks a lot.

A very helpful piece. thanks, I really appreciate it .

Very well explained, and it might be helpful to many people like me.

Wish i had found this (and other) resource(s) at the beginning of my PhD journey… not in my writing up year… 😩 Anyways… just a quick question as i’m having some issues ordering my “golden thread”…. does it matter in what order you mention them? i.e., is it always first aims, then objectives, and finally the questions? or can you first mention the research questions and then the aims and objectives?

Thank you for a very simple explanation that builds upon the concepts in a very logical manner. Just prior to this, I read the research hypothesis article, which was equally very good. This met my primary objective.

My secondary objective was to understand the difference between research questions and research hypothesis, and in which context to use which one. However, I am still not clear on this. Can you kindly please guide?

In research, a research question is a clear and specific inquiry that the researcher wants to answer, while a research hypothesis is a tentative statement or prediction about the relationship between variables or the expected outcome of the study. Research questions are broader and guide the overall study, while hypotheses are specific and testable statements used in quantitative research. Research questions identify the problem, while hypotheses provide a focus for testing in the study.

Exactly what I need in this research journey, I look forward to more of your coaching videos.

This helped a lot. Thanks so much for the effort put into explaining it.

What data source in writing dissertation/Thesis requires?

What is data source covers when writing dessertation/thesis

This is quite useful thanks

I’m excited and thankful. I got so much value which will help me progress in my thesis.

where are the locations of the reserch statement, research objective and research question in a reserach paper? Can you write an ouline that defines their places in the researh paper?

Very helpful and important tips on Aims, Objectives and Questions.

Thank you so much for making research aim, research objectives and research question so clear. This will be helpful to me as i continue with my thesis.

Thanks much for this content. I learned a lot. And I am inspired to learn more. I am still struggling with my preparation for dissertation outline/proposal. But I consistently follow contents and tutorials and the new FB of GRAD Coach. Hope to really become confident in writing my dissertation and successfully defend it.

As a researcher and lecturer, I find splitting research goals into research aims, objectives, and questions is unnecessarily bureaucratic and confusing for students. For most biomedical research projects, including ‘real research’, 1-3 research questions will suffice (numbers may differ by discipline).

Awesome! Very important resources and presented in an informative way to easily understand the golden thread. Indeed, thank you so much.

Well explained

The blog article on research aims, objectives, and questions by Grad Coach is a clear and insightful guide that aligns with my experiences in academic research. The article effectively breaks down the often complex concepts of research aims and objectives, providing a straightforward and accessible explanation. Drawing from my own research endeavors, I appreciate the practical tips offered, such as the need for specificity and clarity when formulating research questions. The article serves as a valuable resource for students and researchers, offering a concise roadmap for crafting well-defined research goals and objectives. Whether you’re a novice or an experienced researcher, this article provides practical insights that contribute to the foundational aspects of a successful research endeavor.

A great thanks for you. it is really amazing explanation. I grasp a lot and one step up to research knowledge.

I really found these tips helpful. Thank you very much Grad Coach.

I found this article helpful. Thanks for sharing this.

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What are you doing and how are you doing it? Articulating your aims and objectives.

Mar 6, 2019

Have you checked out the rest of The PhD Knowledge Base ? It’s home to hundreds more free resources and guides, written especially for PhD students.

How long does it take the person reading your thesis to understand what you’re doing and how you’re doing it? If the answer is anything other than ’in the opening paragraphs of the thesis’ then keep reading.

If you tell them as early as possible what you’re doing and how you’re doing it – and do so in clear and simple terms – whatever you write after will make much more sense. If you leave them guessing for ten pages, everything they read in those ten pages has no coherence. You’ll know where it is all leading, but they won’t.

Unless you tell them.

If you tell the reader what you’re doing as early as possible in clear and simple terms, whatever you write after will make much more sense.

What are aims & objectives?

If you build a house without foundations, it’s pretty obvious what will happen. It’ll collapse. Your thesis is the same; fail to build the foundations and your thesis just won’t work .

Your aims and objectives are those foundations. That’s why we’ve put them right at the top of our PhD Writing Template (if you haven’t already downloaded it, join the thousands who have by clicking here ).

If you write your aims and objectives clearly then you’ll make your reader’s life easier.

A lot of students fail to clearly articulate their aims and objectives because they aren’t sure themselves what they actually are.

Picture this: if there’s one thing that every PhD student hates it’s being asked by a stranger what their research is on.

Your PhD thesis. All on one page.

Use our free PhD structure template to quickly visualise every element of your thesis.

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Research aims

Your research aims are the answer to the question, ‘What are you doing?’

1. You need to clearly describe what your intentions are and what you hope to achieve. These are your aims.

2. Your aims may be to test theory in a new empirical setting, derive new theory entirely, construct a new data-set, replicate an existing study, question existing orthodoxy, and so on. Whatever they are, clearly articulate them and do so early. Definitely include them in your introduction and, if you’re smart, you’ll write them in your abstract .

3. Be very explicit . In the opening paragraphs, say, in simple terms, ‘ the aim of this thesis is to …’

4. Think of your aims then as a statement of intent. They are a promise to the reader that you are going to do something. You use the next two hundred pages or so to follow through on that promise. If you don’t make the promise, the reader won’t understand your follow-through. Simple as that.

Because they serve as the starting point of the study, there needs to be a flow from your aims through your objectives (more on this below) to your research questions and contribution and then into the study itself. If you have completed your research and found that you answered a different question (not that uncommon), make sure your original aims are still valid. If they aren’t, refine them.

If you struggle to explain in simple terms what your research is about and why it matters, you may need to refine your aims and objectives to make them more concise.

When writing up your aims, there are a number of things to bear in mind.

1. Avoid listing too many. Your PhD isn’t as long as you think it is and you won’t have time or room for more than around two or three.

2. When you write them up, be very specific. Don’t leave things so vague that the reader is left unsure or unclear on what you aim to achieve.

3. Make sure there is a logical flow between each of your aims. They should make sense together and should each be separate components which, when added together, are bigger than the sum of their parts.

Research objectives

Your aims answer the question, ‘What are you doing?’ The objectives are the answer to the question, ‘How are you doing it?’

Research objectives refer to the goals or steps that you will take to achieve your aims.

When you write them, make sure they are SMART.

S pecific: talk in a precise and clear way about what you are going to do.
M easurable: how will you know when you have achieved your aim?
A chievable: make sure that you aren’t overly ambitious.
R ealistic: recognise the time and resource constraints that come with doing a PhD and don’t attempt to do too much.
T ime constrained: determine when each objective needs to be completed.

You need to be as explicit as possible here. Leave the reader in no doubt about what you will do to achieve your aims. Step by step. Leave no ambiguity. At the same time, be careful not to repeat your methods chapter here. Just hint at your methods by presenting the headlines. You’ll have plenty of space in your methods discussion to flesh out the detail.

Elsewhere in the thesis you will necessarily have to talk in a complex language and juggle complex ideas. Here you don’t. You can write in clear, plain sentences.

What is the difference between research aims and objectives?

The aims of a study describe what you hope to achieve. The objectives detail how you are going to achieve your aims.

Let’s use an example to illustrate.

To understand the contribution that local governments make to national level energy policy.

Objectives:

Conduct a survey of local politicians to solicit responses.
Conduct desk-research of local government websites to create a database of local energy policy.
Interview national level politicians to understand the impact these local policies have had.
Data will be coded using a code book derived from dominant theories of governance.

If you’re still struggling, Professor Pat Thompson’s great blog has a guide that will help.

Leave the reader in no doubt about what you will do to achieve your aims. Step by step. Leave no ambiguity.

I can’t articulate them clearly, my research is complicated!

Of course your research is complex. That’s the name of the game. But the sign of someone being able to master complexity is their ability to summarise it . Sure, you’re not looking to capture all the richness and detail in a short summary of aims and objectives, but you are looking to tell the reader what you’re doing and how you’re doing it.

If you’re struggling to clearly articulate your aims and objectives, then try the following task. At the top of a Post-it note write the sentence: ‘In this research I will…’. Then keep trying until you can fit an answer onto one single Post-it note. The answer should answer two questions: what are are you doing and how are you doing it?

Remember – whenever you write, make it as clear as possible. Pay attention to the words ‘as possible’ there. That means you should write as clearly as you can given the fact that your subject and research is necessarily complex. Think of it the other way: it’s about not making things more complicated and unclear than they need to be.

In other words, make your reader’s job as easy as you can. They’ll thank you for it.

If you’re still having trouble, get in touch to arrange a one-on-one coaching session and we can work through your aims and objectives together.

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Writing Effective Research Aims and Objectives

By: Margaret-Anne Houston , Marissa McDonagh Edited by: Margaret-Anne Houston
Product: Sage Research Methods: Business
Publisher: SAGE Publications Ltd
Publication year: 2023
Online pub date: March 21, 2023
Discipline: Business and Management
Methods: Research questions , Writing research , Research design
DOI: https:// doi. org/10.4135/9781529668216
Keywords: fuel poverty , social media Show all Show less
Academic Level: Advanced Undergraduate Online ISBN: 9781529668216 More information Less information

The writing of effective research aims and objectives can cause confusion and concern to new and experienced researchers and learners. This step in your research journey is usually the first written method used to convey your research idea to your tutor. Therefore, aims and objectives should clearly convey your topic, academic foundation, and research design. In order to write effective research aims and objectives, researchers should consider all aspects of their proposed work. For example, the sample(s) to be approached for participation in the primary data collection. Identifying research objectives that are SMART is key to ensuring key aspects of the work are considered prior to any data collection. This includes consideration of access to samples and the ethics of researching the topic and research design. Finally, seeing your work as others will read it, can be an effective evaluation tool to ensure your own research objectives adequately capture and reflect your intended study. Therefore, this guide encourages you to consider common issues with identifying and writing research aims and objectives through consideration of examples.

Learning Outcomes

By the end of this guide, readers should be able to:

Identify the meaning and purpose of a research aim within business research
Understand the link between an effective research aim and the wider topic and literature/secondary sources, where appropriate
Understand how to identify and write Specific, Measurable, Achievable, Realistic and Timely (SMART) Research objectives, research questions, and consideration of research hypothesis
Recognize the link between writing an effective research aim and the research design. Write own research aim and objectives

Introduction

The writing of effective research aims and objectives can cause confusion and concern to new (and experienced!) researchers and learners. Attempting to identify the scope and focus of a project within a few specific statements, can take time and consideration of all aspects of your research design. If you are still unsure of your approach to your topic, or even the boundaries of the topic itself, this uncertainty can make the framing of an effective research aim seem like an uphill task.

However, even if this is your first time trying to convey your research idea within a few concise and precise statements, there are steps to take to ensure your work clearly communicates your meaning to your audience. This how-to-guide draws on examples of business topic research aims and objectives and explores techniques for reviewing their meaning. This active learning approach will enable you to grow confidence in framing and communicating your own research.

The importance of ensuring the research aim and objectives are not only reflective of the topic choice but are also achievable can be a fluid process, which in itself, can result in anxious researchers. Seeing your work as others will read it, can be an effective evaluation tool to ensure your own research objectives adequately capture and reflect your intended study. Therefore, this guide encourages you to consider common issues with identifying and writing research aims and objectives through consideration of examples.

Identify the Meaning and Purpose of a Research Aim with Business Research

Writing an effective research aim is an integral part of the research process. A research aim is a statement of intent. It should communicate your research goal clearly and should provide a focus for your work from the offset. It is important to differentiate between a research aim and the objectives. If a research aim tells the reader what you plan to achieve, then the research objectives should state how you would reach that goal. Often the objectives will provide a road map of the steps you will take in order to meet the research aim. Therefore, a research aim in business-related topics is typically a single sentence or even two, which conveys the overall purpose of the research-the end goal!

The terminology you use when writing your research aim is important. Note the following example aims from Business related topics:

1. This research aims to evaluate the lasting effects of lockdown and ‘work from home’ initiatives on productiveness in the financial service industry.
2. This research aims to establish a link between innovations in Artificial Intelligence (AI) and recruitment processes for The Royal Bank of Scotland.
3. This research aims to investigate to what extent Corporate Social Responsibility (CSR) initiatives can influence consumer behavior. A case study of Aldi UK.
4. This research aims to assess the effectiveness of technology companies’ risk management of cyber and information risks measured on the basis of supply chain resilience.
5. This research aims to explore the impact of Government funded initiatives to encourage social entrepreneurship in Scotland.

As evidenced above all of the aims stated contain verbs, these highlight how the research will be undertaken. Words such as to assess, to establish, to explore or to evaluate all reflect research analysis. This conveys your intention clearly to the reader and whilst it may not fully demonstrate exactly how the project will be undertaken, the verbs show what the goal is.

The objectives, which follow the aim, can help to show the exact ways the aim will be achieved, highlighting the research methods. It is important to think carefully about whether you plan to or will be to, come to a clear conclusion. Often it is not possible and this can be due to many factors such as the time or scope of the issue. For example, in the aims stated above number 2 is the only one that states it will ‘establish a link.’ This is because the aim is specific and measurable. The objectives should identify the specific processes it will examine and link to effective recruitment practices that are more effective than prior to AI being used.

However, for the other aims it is more appropriate to explore or investigate the topics, as opposed to ‘establishing’ or to ‘evidence an impact.’

Abbreviations are a useful way of shortening words or phrases and they can give writing a more coherent flow. It is worth noting that all abbreviations like AI or CSR should only be used when they are spelled out initially and if they appear frequently throughout your writing.

It is important to always check with your supervisor or course Handbook but typically, you should have a research question, a research aim, and objectives. The research question should capture what the issue is, often it will help to explain your research aim by offering a critical perspective. For example, if your research is to evaluate the effect of something then your question may be to what extent is that something works?

Finally, it is important to remember that the wording of your research aim may change slightly as your research progresses. Often students will modify the words to reflect what they are undertaking as the process develops.

Section Summary

An effective research aim should clearly set out the goal of a project.
Carefully consider the terminology you use at this stage, and ensure it reflects the outcome of the study.
Remember a research aim can be fluid and the exact wording is likely to change as you progress through your research journey.

Understand the Link Between an Effective Research Aim and the Wider Topic and Literature/secondary Sources, Where Appropriate

When developing the research aim it is important to be engaged with the wider topic and associated literature and secondary sources from the offset. These sources will be crucial in helping you to tackle the topic successfully.

Identifying an idea for a research project can sometimes be a relatively simple first step in the research process. It is often narrowing the idea down to a research aim, which can be more difficult. A good way to start is to brainstorm ideas, think about what interests you the most about your studies, and note down keywords which can then be used as search terms. Researchers, at all levels of research and study, should consider information-seeking as a process through which they engage with the primary literature and secondary sources concerning their topic area. This will develop self-confidence in your ability to define the terms of reference of your work and studies. An inquiring mind and openness to a degree of flexibility of approach in these early stages of research, can be key to ensuring initial topic ideas can be molded into achievable research aims and objectives.

Research could be considered to be cyclical, not a one-off process. Therefore, in order to ensure a definable and achievable research topic, many projects use a mixture of sources. This requires a degree of confidence on the part of the researcher; to identify the relevant resources they require, a strategy for how to find them and also, a process for information management.

Many researchers will start with an online search for both academic and non-academic sources. The short-term success of this first step can be dictated by the choice of keywords and phrases. That is, those terms that the researcher believes are most relevant for, and most likely to come up with links to their research topic. However, caution should be employed in this initial task of online searching - this is an important opportunity to consider how we identify these specific keywords. A limited understanding of the area will be enhanced through further reading. It can allow the researcher to access previous studies in the same topic area and identify effective research methods. An informed research aim should be underpinned by reading and evaluating sources in relation to the research idea.

Using the research aims below as examples, note the sources required and some issues to consider for each source. By strategically linking your research aim to the wider area you will ensure your research is robust from the start.

Reading combined with ongoing critical appraisal of associated sources can help to refine and focus your research aim and objectives.
Think of your research as an ongoing process. Reading associated sources should be embedded in every stage of your research journey.
Ensure you are acknowledging the wider research area and associated sources from the offset as this will help to refine and focus your research aim and objectives.

Understanding How to Identify SMART Research Objectives, Research Questions, and Consideration of Research Hypothesis

First-time final year undergraduates are normally expected to identify a research topic and research design that are realistic and achievable. Not only should they be realistic as topics but also achievable within a short time period when most learners have never undertaken such work previously. A common pitfall of many initial research topics is identifying an area that is too wide in scope. A simple step is to consider how to express and convey the work within a series of research objectives. Careful consideration of the content of these statements can help narrow the topic focus, and ensure the research design is relevant to the work to be undertaken. Therefore, writing your objectives should be viewed as a process and not a one-off exercise. Remember, they convey your work to an audience and set out the initial boundaries of the research to be undertaken.

Therefore, research aims and objectives should provide focus and direction for the research topic. Many business research methods texts will introduce the writing of research aims and objectives as a specific skill required to ensure they are Specific, Measurable, Achievable, Realistic and Timely (SMART). By following the SMART guidelines and analyzing examples of common issues within aims and objectives, learners can build confidence and ensure their aims and objectives are strong. Together with these five criteria, the language used can convey the depth of the inquiry. By way of explanation, consider the following topic submitted for consideration as a final-year project:

The research aim is to evaluate consumer perceptions of the impact of social media advertising on their car purchasing decisions. The fieldwork will examine consumer attitudes toward social media advertising and the benefits of this approach. This will be explored through the following research objectives:

1. Examine relevant literature concerning advertising, and trends in social media within the car industry;
2. Identify the attitudes of key players and stakeholders within the advertising industry toward the use of social media;
3. Discuss the effects of new technology on social media and advertising trends;
4. Evaluate how consumers relate to new technology with a view to making recommendations for improvement in the use of social media within online advertising.

S pecific – the research objectives reflect the terminology also used within the research aim.

M easureable – this does not necessarily mean that the work will involve quantitative data. Consider that the objectives identify the issues and samples and so the target of the work.

A chievable – does the work appear to be a piece of research that could be undertaken and completed within the confines of the undergraduate program? It could be achievable on the basis that the work does not appear to require a long time period to complete and the samples should be accessible. Achievability is also a consideration of university ethical consideration processes. For example, although a researcher is able to identify a sample of participants who are experiencing fuel poverty, consideration must be given to the possible ethical issues that surround requesting their participation. It may be deemed that the research could in some manner cause harm to the participants, such as stress through talking about their lived experiences. This stress could also be felt by the researcher who may not be trained to deal with such emotional situations. In both of these examples, the university ethics process could decide this work is unachievable.

R ealistic – the issue of social media advertising is realistic within the stated industry. The samples identified also appear linked to the topic. Furthermore, the academic foundation of the work is also identified – advertising. The work also appears to be realistic in terms of the resources required to complete it. The ethical use of data gathered from social media could also be relevant to determining if this topic is realistic. As with Achievability above, issues such as how the data was originally gathered and how it will then be used by the researcher, would be scrutinized by the Ethics process. Again, the principle of ‘do no harm’ would be applied to determine if the work is realistic.

T imely – although the work does not offer a specific timeframe, the use of social media for advertising is evident within the car industry. Therefore, this could be said to be timely.

Furthermore, the terminology is important. If you choose words that are descriptive, they will convey work that is also descriptive. So, try to use words such as ‘describe,’ ‘understand,’ or ‘gain an insight into’ only where they adequately reflect that your research is not an in-depth study. Consider using terms to evidence how you will approach each objective including: evaluate; critique; critically discuss and examine. All infer the research will go beyond a surface inquiry.

Now, at this stage, consider if the research wished to study the possible relationships between variables such as the impact on consumers of exposure to social media advertising on car sales decision-making. As with the approach to the similar topic above, this could be explored using qualitative data by gathering the experiences of consumers and/or people within the car industry. However, research that specifically wishes to explore possible links between issues and/or specific variables, could sometimes be better framed using a research hypothesis. This is a statement that identifies possible c ause and effect ’ relationships between variables. Therefore, the focus of the above topic could be reconsidered to identify the impact of social media advertising within the car industry. The new research question and hypothesis could be thus:

The research question: Do consumers perceive the impact of social media advertising on their car purchasing decisions?

Null Hypothesis: There is no difference in car purchasing decisions between those consumers who are exposed to social media advertising of cars compared to those who are not.

Alternative Hypothesis: There is a relationship between whether or not a consumer has been exposed to social media advertising and their car purchasing decision.

In order to address the hypothesis, some form of statistical testing would be required which is not covered in this guide. However, as a researcher, you should always consider what it is specifically that you wish to research when framing your work. This topic consideration could identify specific issues and/or variables which you wish to explore further to test if there are statistical relationships. In this situation, you could consider including hypothesis testing within your research design. As can be viewed above, related topics may be presented in different ways, with the inclusion or exclusion of a research hypothesis. The existence of possible relationships may be explored through research that seeks perceptions of advertising. However, research which seeks statistical evidence would be best represented with hypothesis testing.

Research aim and objectives convey to your audience the topic and possible boundaries of your work. Therefore, ensuring they are presented as SMART, allows others to assess your work in the way you intended.
Research ethics should be considered when writing research aims and objectives, including the potential impact of participation on individuals. Research should do no harm to the individuals involved, including the sample and researchers themselves.
Research does not always necessitate consideration of the research hypothesis. However, in some circumstances, a well-considered hypothesis could offer statistical weight to your findings.

Recognizing the Link Between Writing an Effective Research Aim and the Research Design

The research aim and objectives should be written in a way that conveys the specific area or problem to be researched. This should allow anyone reading your research aim to understand the main focus of the work. For example, your work may aim to examine the lived experiences of individuals living with fuel poverty within a specific geographic area or demographic. In this example, you can clearly identify the topic – lived experiences of fuel poverty – and the focus – individuals within the chosen geographical area/demographic . To a more experienced researcher, it can also offer insight into the research design which may be reasonably expected. So, studies of ‘lived experiences’ can involve the gathering and/or analysis of qualitative data from individuals/communities as the researcher seek to gather the first-hand experiences of participants (individuals).

Clearly written research aim and objectives should allow the reader to consider the following information:

1. Wider academic area(s) within which the topic falls (for example, accountancy; marketing; management);
2. The main areas of the literature identified within the aim and/or objectives;
3. The data which would be expected to be gathered to in order to meet/address the research objectives;
4. The data collection methods which could be deemed relevant to the research aim and,
5. Overall, if the research aim and objectives are SMART (see above).

Consider the wording in the example below:

The research aim of this dissertation is to examine the lived experiences of people living with fuel poverty and their attitudes towards support services within a local council area. This research aim will be addressed through the following research objectives:

1. Critically review previous literature and evaluate the origins and purpose of different definitions of ‘fuel poverty.’
2. Explore the attitudes of individuals currently experiencing fuel poverty towards support agencies and other stakeholders.
3. Analyze the opportunities and barriers to support agencies and related stakeholders within a local council area with specific regard to supporting those experiencing fuel poverty.
4. Compare and contrast the lived experiences of individuals experiencing fuel poverty with those of the support agencies to identify potential service gaps.

Looking closely at the work above, it could be reasonable to make the following assumptions about the research:

The academic area(s) within which the topic falls (for example, accountancy; marketing; management; social sciences; economics). This can be researched and explored by keyword searching the research aim. In this example, there appear to be multiple academic roots to the work:

‘lived experiences of people living with fuel poverty’ – this could be viewed as a social science/economics topic or even an engineering area. Either would depend on the specific view taken to investigate fuel poverty, i.e., real-world examples of lived experiences, specially such as narratives about their daily life. Alternatively, this aim could encapsulate studies within engineering areas that seek to understand the impact of construction and design decisions on the daily life of individuals.
‘…and their attitudes towards support services within a local council area’ – by adding a focus for the study as being specific to support services, this work is now narrowed to more reflect the social sciences area.
If the work was indeed to study any issues such as building construction, this would be expected to appear within the research aim to convey the topic clearly and precisely.

Therefore, it could be expected that if the research draws on wider academic areas, this should be evident from the terminology within the research objectives. A consistent use of terminology ensures the academic foundation of the work is identifiable throughout. It could also be reasonably presumed that the relevant issues of each sample (individuals within fuel poverty, the support services, and stakeholders), would be refined to include specific factors to ensure the work is focused on specific issues.

Next, consider the type of data you would expect to gather to in order to meet/address the research objectives. The following options appear to be linked to the wording of the objectives:

Secondary Data: The objectives identify the need for literature in the first stages of work in order to address objectives 1, 2, and 3. As the research is based on lived experiences, this could include not only academic work but also charity and government reports. Given that this is a real-world issue, examples could also be identified from reputable news agencies. All of these sources could help identify possible issues that may be identified by research participants during the data gathering. If these issues are not identified by the participants, they could be used to form a critical discussion around opportunities or barriers (objective 3).
Primary Data: Given the focus on lived experiences related to support services, the research may be presumed to include a qualitative study. A qualitative study would allow participants to use their own voices and language to explain their lived experiences. Whereas a quantitative study, by its nature, could explore the issues already known to the researcher when the instrument was written, e.g., survey. Qualitative data could perhaps encourage more personal issues to be identified by the individual participants, and also offer some context for their position.

Subsequently, consider which data collection methods you would expect to be used to address the research aim.

Quantitative data gathering tools: Could quantitative data gathering explore the lived experiences of this sample? Many areas could be effectively explored however lived experiences tend to be personal to the individual and so qualitative could offer more depth and richness to the data.
As both the research aim and objectives identify specific samples, the research could be considered to have a boundary around those to be invited to participate. Therefore, secondary data may identify the definitions of fuel poverty and offer reasons for any differences. It could also allow the identification of the roles and remits of support services and stakeholders. However, it will not offer specific lived experience details that can come from the sample of individuals.

If specific organizational sectors or companies were identified, the use of quantitative data-gathering tools, such as a survey, may allow more specific information to be gathered. Remember, the research aim identifies that the focus is the individuals who experience fuel poverty. Therefore, a survey could address issues such as knowledge and understanding of these service providers. However, it could then miss hearing about the informal networks used by individuals for support, which could come to light during a qualitative study.

Finally, if in doubt, show your research aim and objectives to a colleague and ask them to tell you , what they think your research is about. This simple exercise will enable you to realize what other people understand from your work and so, allow you to tweak where necessary. This should ensure your research is not only accessible to different audiences but ultimately, is a fair reflection of your topic choice.

Clearly written research aims and objectives can effectively convey information about your work. This allows a reader to consider the key aspects of your topic and sets expectations about the contents of your report/dissertation/thesis.
Always ensure that the language used to write a research aim and objectives, adequately convey the meaning and depth of your research. It should be specific to your topic but also accessible to the intended audience(s).
SMART research objectives can convey your understanding of research design. This should be apparent from the layering of issues and identification of relevant samples.

In conclusion, this guide has offered practical steps through example-based exercises to help you format your idea into an effective research aim and objectives. Having progressed through the exercises, you will have considered issues such as the importance of understanding how a research aim can help you refine your idea. It is also the mechanism to convey your research intention to your audience. Through exploring the importance of linking your research aim to the wider research area this will give you the confidence to develop SMART objectives. Following this, your work will reflect key areas of your research design through the use of relevant research methods terminology.

Therefore, by following the steps in this guide you should now be confident to take your idea and form it into robust research aims and objectives.

Multiple-Choice Quiz Questions

1. The purpose of a research aim is to ______.

Incorrect Answer

Feedback: This is not the correct answer. The correct answer is C.

Correct Answer

Feedback: Well done, correct answer

2. It is important to understand the link between the research aim and the wider topic because ______.

Feedback: This is not the correct answer. The correct answer is B.

3. How many research objectives are necessary to ensure a successful final-year project?

4. Research objectives reflect ______

5. Research design can be reflected in the research aim and objectives by ______.

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Research Aims and Objectives: The dynamic duo for successful research

Picture yourself on a road trip without a destination in mind — driving aimlessly, not knowing where you’re headed or how to get there. Similarly, your research is navigated by well-defined research aims and objectives. Research aims and objectives are the foundation of any research project. They provide a clear direction and purpose for the study, ensuring that you stay focused and on track throughout the process. They are your trusted navigational tools, leading you to success.

Understanding the relationship between research objectives and aims is crucial to any research project’s success, and we’re here to break it down for you in this article. Here, we’ll explore the importance of research aims and objectives, understand their differences, and delve into the impact they have on the quality of research.

Understanding the Difference between Research Aims and Objectives

In research, aims and objectives are two important components but are often used interchangeably. Though they may sound similar, they are distinct and serve different purposes.

Research Aims:

Research aims are broad statements that describe the overall purpose of your study. They provide a general direction for your study and indicate the intended achievements of your research. Aims are usually written in a general and abstract manner describing the ultimate goal of the research.

Research Objectives:

Research objectives are specific, measurable, and achievable goals that you aim to accomplish within a specified timeframe. They break down the research aims into smaller, more manageable components and provide a clear picture of what you want to achieve and how you plan to achieve it.

In the example, the objectives provide specific targets that must be achieved to reach the aim. Essentially, aims provide the overall direction for the research while objectives provide specific targets that must be achieved to accomplish the aims. Aims provide a broad context for the research, while the objectives provide smaller steps that the researcher must take to accomplish the overall research goals. To illustrate, when planning a road trip, your research aim is the destination you want to reach, and your research objectives are the specific routes you need to take to get there.

Aims and objectives are interconnected. Objectives play a key role in defining the research methodology, providing a roadmap for how you’ll collect and analyze data, while aim is the final destination, which represents the ultimate goal of your research. By setting specific goals, you’ll be able to design a research plan that helps you achieve your objectives and, ultimately, your research aim.

Importance of Well-defined Aims and Objectives

The impact of clear research aims and objectives on the quality of research cannot be understated. But it’s not enough to simply have aims and objectives. Well-defined research aims and objectives are important for several reasons:

Provides direction: Clear aims and well-defined objectives provide a specific direction for your research study, ensuring that the research stays focused on a specific topic or problem. This helps to prevent the research from becoming too broad or unfocused, and ensures that the study remains relevant and meaningful.
Guides research design: The research aim and objectives help guide the research design and methodology, ensuring that your study is designed in a way that will answer the research questions and achieve the research objectives.
Helps with resource allocation: Clear research aims and objectives helps you to allocate resources effectively , including time, financial resources, human resources, and other required materials. With a well-defined aim and objectives, you can identify the resources required to conduct the research, and allocate them in a way that maximizes efficiency and productivity.
Assists in evaluation: Clearly specified research aims and objectives allow for effective evaluation of your research project’s success. You can assess whether the research has achieved its objectives, and whether the aim has been met. This evaluation process can help to identify areas of the research project that may require further attention or modification.
Enhances communication: Well-defined research aims and objectives help to enhance communication among the research team, stakeholders, funding agencies, and other interested parties. Clear aims and objectives ensure that everyone involved in your research project understands the purpose and goals of the study. This can help to foster collaboration and ensure that everyone is working towards the same end goal.

How to Formulate Research Aims and Objectives

Formulating effective research aims and objectives involves a systematic process to ensure that they are clear, specific, achievable, and relevant. Start by asking yourself what you want to achieve through your research. What impact do you want your research to have? Once you have a clear understanding of your aims, you can then break them down into specific, achievable objectives. Here are some steps you can follow when developing research aims and objectives:

Identify the research question : Clearly identify the questions you want to answer through your research. This will help you define the scope of your research. Understanding the characteristics of a good research question will help you generate clearer aims and objectives.
Conduct literature review : When defining your research aim and objectives, it’s important to conduct a literature review to identify key concepts, theories, and methods related to your research problem or question. Conducting a thorough literature review can help you understand what research has been done in the area and what gaps exist in the literature.
Identify the research aim: Develop a research aim that summarizes the overarching goal of your research. The research aim should be broad and concise.
Develop research objectives: Based on your research questions and research aim, develop specific research objectives that outline what you intend to achieve through your research. These objectives should be specific, measurable, achievable, relevant, and time-bound (SMART).
Use action verbs: Use action verbs such as “investigate,” “examine,” “analyze,” and “compare” to describe your research aims and objectives. This makes them more specific and measurable.
Ensure alignment with research question: Ensure that the research aim and objectives are aligned with the research question. This helps to ensure that the research remains focused and that the objectives are specific enough to answer your research question.
Refine and revise: Once the research aim and objectives have been developed, refine and revise them as needed. Seek feedback from your colleagues, mentors, or supervisors to ensure that they are clear, concise, and achievable within the given resources and timeframe.
Communicate: After finalizing the research aim and objectives, they should be communicated to the research team, stakeholders, and other interested parties. This helps to ensure that everyone is working towards the same end goal and understands the purpose of the study.

Common Pitfalls to Avoid While Formulating Aims and Objectives

There are several common mistakes that researchers can make when writing research aims and objectives. These include:

Being too broad or vague: Aims and objectives that are too general or unclear can lead to confusion and lack of focus. It is important to ensure that the aims and objectives are concise and clear.
Being too narrow or specific: On the other hand, aims and objectives that are too narrow or specific may limit the scope of the research and make it difficult to draw meaningful conclusions or implications.
Being too ambitious: While it is important to aim high, being too ambitious with the aims and objectives can lead to unrealistic expectations and can be difficult to achieve within the constraints of the research project.
Lack of alignment: The aims and objectives should be directly linked to the research questions being investigated. Otherwise, this will lead to a lack of coherence in the research project.
Lack of feasibility: The aims and objectives should be achievable within the constraints of the research project, including time, budget, and resources. Failing to consider feasibility may cause compromise of the research quality.
Failing to consider ethical considerations: The aims and objectives should take into account any ethical considerations, such as ensuring the safety and well-being of study participants.
Failing to involve all stakeholders: It’s important to involve all relevant stakeholders, such as participants, supervisors, and funding agencies, in the development of the aims and objectives to ensure they are appropriate and relevant.

To avoid these common pitfalls, it is important to be specific, clear, relevant, and realistic when writing research aims and objectives. Seek feedback from colleagues or supervisors to ensure that the aims and objectives are aligned with the research problem , questions, and methodology, and are achievable within the constraints of the research project. It’s important to continually refine your aims and objectives as you go. As you progress in your research, it’s not uncommon for research aims and objectives to evolve slightly, but it’s important that they remain consistent with the study conducted and the research topic.

In summary, research aims and objectives are the backbone of any successful research project. They give you the ability to cut through the noise and hone in on what really matters. By setting clear goals and aligning them with your research questions and methodology, you can ensure that your research is relevant, impactful, and of the highest quality. So, before you hit the road on your research journey, make sure you have a clear destination and steps to get there. Let us know in the comments section below the challenges you faced and the strategies you followed while fomulating research aims and objectives! Also, feel free to reach out to us at any stage of your research or publication by using #AskEnago and tagging @EnagoAcademy on Twitter , Facebook , and Quora . Happy researching!

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How to Write the Dissertation Aims and Objectives – Guide & Examples

Published by Grace Graffin at January 27th, 2023 , Revised On October 9, 2023

Aims and objectives are among the essential aspects of a dissertation. If you write aims and objectives effectively, they can act as a foundation to give your research clarity and focus.

This article will provide you with all the necessary information regarding aims and objectives, their differences, writing tips , and the common mistakes you should avoid while writing them.

The aim is often a single sentence or a short paragraph that describes your dissertation’s main goal and intent. It tells what you hope to achieve at the end. You should write the aim so that it becomes identifiable when it is achieved with the completion of your dissertation .

The aim is written in a subsection of the introduction to clarify the overall purpose of the dissertation .

Example: It is often observed that employees in culturally diverse workplaces struggle to work effectively in a team. A probable cause of this issue is bullying at the workplace. This research investigates the impact of bullying on employee job satisfaction at culturally diverse workplaces and the resulting loss of employee productivity. This research will use surveys and case study analysis to analyze the impact of bullying on employees.

The objectives in a dissertation describe the ways through which you intend to achieve the research aim. They are specific statements that break down the aim into several smaller key sections of the overall research. Suitable objectives can help you stay focused and conduct research in the direction of your aim.

The number of objectives should be realistic; usually, between three to six, and each one should be possible to achieve. The following example shows the objectives for the previously-mentioned dissertation aim.

1. identification of the behaviors that are considered as bullying 2. exploring the factors that cause bullying at a culturally diverse workplace 3. analyzing the relationship between bullying and job satisfaction of employees 4. providing suitable recommendations on minimizing the bullying at the workplace

The objectives of a dissertation should be SMART.

Specific: should be precise, focused, and well-defined
Measurable: the progress should be measurable, and you should be able to determine when you have achieved an objective.
Achievable: you should be able to carry out the required action within your available resources
Relevant: should be related to the dissertation aim
Time-bound: should be possible within the available time

Differences between aims and objectives

Aims and objectives are often mixed, but there are clear differences between them.

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How to write aims and objectives?

There is no particular way or standard to write the aims and objectives. Different researchers have different writing styles, and often it can be influenced by your research supervisor. However, you should follow certain basic principles while writing aims and objectives in a dissertation.

Writing the aim statement

The aim statement should cover the following essential elements.

Why is the research necessary? (covers the underlying problem on which the study is to be conducted)
What is the research about? (description of the research title)
How are you going to conduct it? (a brief statement of intended research methods)

An appropriate aim clearly defines the research purpose without confusing the reader. If you struggle to explain your research and its importance in simpler terms, you should consider refining your research to clarify it further.

Writing objectives

The objectives describe how you would achieve your research aim. You can do this through the following steps,

The first one to two objectives can be applied to the literature review . (Verbs to be used: investigate, examine, study)
One objective can be applied to the methodology portion. (Verbs to be used: collect, select, demonstrate, estimate)
Two to three objectives can cover the critical evaluation or discussion chapters (Verbs to be used: analyze, compare, evaluate)
The final objective will cover the conclusion or recommendation portion. (Verbs to be used: conclude, recommend)

Instead of writing like a paragraph, the objectives should be written as a numbered list to give them more clarity.

How many aims and objectives should be there?

It depends upon the topic of your research and mainly upon your supervisor’s requirements. Generally, a dissertation has a single broad statement as the research aim. However, it is acceptable to include a main aim along with two to three subsidiary aims.

Similarly, the number of objectives should be realistic and sufficient to measure the progress regarding the achievement of the research aim. Their number can generally vary from three to six depending upon the aim.

Common mistakes to avoid while writing research aims and objectives

Writing a broad research aim

Writing a broad research aim is a common mistake, and it often becomes difficult to achieve. It may create a problem when you are asked to prove how you have achieved your aims during your viva defense . It would be best to narrow your study to a specific area in the early stages of the dissertation.

Formulating overlapping research objectives

The objectives should be written such that they are measurable and distinct from each other. If they overlap, it makes it difficult to structure your dissertation properly in specific chapters.

Setting unrealistic aims

Students often get over-ambitious while describing the research aim and face problems afterward in achieving those aims. You should avoid this mistake and be realistic about what you can achieve in the available time and resources.

Aims and objectives are the sections that require significant time and attention to avoid future hassles while conducting research and writing your dissertation.

Frequently Asked Questions

How to set dissertation aims and objectives.

To set dissertation aims and objectives, define your research goals clearly. Aims state what you want to achieve, while objectives outline specific, measurable steps to reach those goals. Ensure they align with your research question and contribute to your study’s significance.

A Complete Guide to Write Research Aims and Objectives

The importance of making a good quality aim and objectives of a research is paramount in the success of the research.

In this post, you will learn:

What is research aim?
What are research objectives?
How to differentiate between research aim and research objective
Examples of research aims and objectives
Key points to remember while writing research aim and objectives
Do’s and Don’ts

What Is Research Aim?

The research aim is the primary focus of the research and determines what the research serves to do. It defines the purpose of the research and tells the audience what the research aims to achieve.

Because research aims are so important for the study, a sun heading in the introductory chapter is usually dedicated to them. They are written in a paragraph form and define the main purpose of conducting the research on a topic.

Example of a good quality research aim

Research about the effects of climate change on the mental health of young adults can be worded as follows:

“The effects of climate change information on the minds of young adults are under researched. This research aims to find the effects that climate change information has on the mental health of young adults. By studying the effects of the intensity and frequency of the consumption of climate change news and forecasts among young adults, this study aims to see how climate change information is influencing their mental health.”

The above research aim is focused and clear and presents the reader with a clear understanding of the purpose of the research.

What Is Research Objective?

Research aims are related to research objectives. The research aim determines the overall purpose of the study, and the objectives determine in what ways that purpose will be achieved. The purpose of the research aim is separated into subsections. However, If any you need to order IT Research Paper help services then you have to take a survey on the net. These subsections are smaller steps that define the objectives of the research.

Research objectives are usually written in the form of a list. These small bits of steps can be checked off as the research progresses. They are written in chronological order, starting with the first objective that needs to be achieved and ending with the final one.

Example of research objectives

Taking the example of the research aim above, we can divide it into smaller sections to create specific aims of the research.

Understand the concepts of climate change and mental health
Understand the relationship between climate change and mental health
Determine the frequency and intensity of climate change news consumption among young adults
Determine the frequency and intensity of news affects the mental health of young adults
Develop recommendations for clinical practice in the field

From this example, you can see how the research aim was broken down into smaller, specific objectives that were then listed down.

Differentiate Research Between Aims & Objectives

Although the two concepts are related, they are not the same. The differences between research aim and research objectives are:

The way they are worded are different: Research aim is worded in a wide scoped way, while research objectives are worded as specific, narrowed down tasks.
The focus of the two are different: research aim focuses on the overall purpose while research objectives focus on how to achieve that purpose.
The purpose of the two are different: research aims are concerned with the overall findings of a research, which are long-term, while research objectives serve to define the short term aims of the research.
The way they are presented are different: research aims are written in a small paragraph form while the objectives are written in the form of a list.

3 Key Points To Remember While Drafting Research Aim

The ways of writing a research aim varies with the researcher, but there are certain points to keep in mind to write a good quality research aim:

1. Answer the “why” question of the research: A research aim needs to provide an answer for why the study is being conducted. It needs to describe, in a small sentence or phares, why the research is important to conduct.

Taking the example of the research aim above, we can see that it answers the why question:

“The effects of climate change information on the minds of young adults are under researched”.

2. Answer the “what” question of the research: this is the main purpose of the research aim, as it signifies the main aim of the research.

From the example above, the “what” question is answered as follows:

“This research aims to find the effects that climate change information has on the mental health of young adults.”

3. Lastly, the research aim needs to answer the “how” question. In a simple sentence or a few phrases, it should outline the main way in which you are planning to achieve the aim.

From the example above, the “how” question is answered as follows:

“By studying the effects of the intensity and frequency of the consumption of climate change news and forecasts among young adults, this study aims to see how climate change information is influencing their mental health.”

Checklist of research aim:

Tells the purpose of research
Tells why the research is important
Tells how the aim will be achieved
Is clear and concise

5 Key Points To Remember While Drafting Research Objective

An easy way to determine the quality of your research objectives is to apply the SMART method to them:

You need to make sure that the objectives are worded as specific tasks you need to achieve. They should not be vague.
You should ensure that the objectives are measurable, meaning that they allow you to see how much of them have been achieved and how much are left to work on.
The objectives need to be achievable, meaning you should have the resources to work on them.
They need to be relevant to getting to your research aim.
They need to be achievable in the time you have available for your research project.

In the example above the objectives follow the above mentioned criteria. While making your own objectives, make sure to evaluate them using the points above to ensure your objectives are good quality.

Checklist of research objectives

Do’s and Don’ts of research aims and objectives

What to do and what to avoid in writing aims and objectives

The Takeaway

The research aim is the primary focus of the research.
Research aims are related to research objectives
The objectives determine in what ways that purpose will be achieved.
Research aim needs to answer the “what”, “why” and “how” questions of the research.
Research objectives need to be SMART.

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Writing Tips

How to Write Research Objectives

3-minute read

22nd November 2021

Writing a research paper, thesis, or dissertation ? If so, you’ll want to state your research objectives in the introduction of your paper to make it clear to your readers what you’re trying to accomplish. But how do you write effective research objectives? In this post, we’ll look at two key topics to help you do this:

How to use your research aims as a basis for developing objectives.
How to use SMART criteria to refine your research objectives.

For more advice on how to write strong research objectives, see below.

Research Aims and Objectives

There is an important difference between research aims and research objectives:

A research aim defines the main purpose of your research. As such, you can think of your research aim as answering the question “What are you doing?”
Research objectives (as most studies will have more than one) are the steps you will take to fulfil your aims. As such, your objectives should answer the question “How are you conducting your research?”

For instance, an example research aim could be:

This study will investigate the link between dehydration and the incidence of urinary tract infections (UTIs) in intensive care patients in Australia.

To develop a set of research objectives, you would then break down the various steps involved in meeting said aim. For example:

This study will investigate the link between dehydration and the incidence of urinary tract infections (UTIs) in intensive care patients in Australia. To achieve this, the study objectives w ill include:

Replicat ing a small Singaporean study into the role of dehydration in UTIs in hospital patients (Sepe, 2018) in a larger Australian cohort.
Trialing the use of intravenous fluids for intensive care patients to prevent dehydration.
Assessing the relationship between the age of patients and quantities of intravenous fluids needed to counter dehydration.

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Note that the objectives don’t go into any great detail here. The key is to briefly summarize each component of your study. You can save details for how you will conduct the research for the methodology section of your paper.

Make Your Research Objectives SMART

A great way to refine your research objectives is to use SMART criteria . Borrowed from the world of project management, there are many versions of this system. However, we’re going to focus on developing specific, measurable, achievable, relevant, and timebound objectives.

In other words, a good research objective should be all of the following:

S pecific – Is the objective clear and well-defined?
M easurable – How will you know when the objective has been achieved? Is there a way to measure the thing you’re seeking to do?
A chievable – Do you have the support and resources necessary to undertake this action? Are you being overly ambitious with this objective?
R elevant – Is this objective vital for fulfilling your research aim?
T imebound – Can this action be realistically undertaken in the time you have?

If you follow this system, your research objectives will be much stronger.

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Whatever your research aims and objectives, make sure to have your academic writing proofread by the experts!

Our academic editors can help you with research papers and proposals , as well as any other scholarly document you need checking. And this will help to ensure that your academic writing is always clear, concise, and precise.

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A Guide to Writing Research Objectives and Aims

Post author: Research Zone
Post published: September 6, 2021
Post category: Academic Advice / Writing Thesis
Post comments: 1 Comment

Introduction

In determining the success of your research project, it is crucial to understand your research objectives and aim. However, it is, unfortunately, an aspect that many students struggle with, resulting in poor performance. As a result of their importance, if you suspect even the slightest possibility that you belong to this group of students, we strongly recommend that you read this article in its entirety.

In this article, we describe what research aim and objectives are, what distinguishes them from each other, and how to write them correctly.

What is Research Aim?

Research aims describe the purpose or main goal of a project. It help your reader to understand the focus of your research and gives them an idea of what you are trying to accomplish. Research aims are found in their own subsection under the introduction section of all research documents, regardless of whether they are dissertations or research papers.

In most situations, a research aim is expressed as a broad statement of the main goal of the study and doesn’t need to be more than one sentence. The exact format of the outline will vary depending on your preference, but it should all explain the purpose (context), your objective (the actual aim), and how you plan to accomplish it (highlights of your objectives).

What are Research Objectives?

Research aim defines what your study is going to answer, but research objectives outline how it’s going to answer it.

Those objectives break down each component of your research project into smaller portions, each representing a key section of it. Thus, almost all dissertations and theses are organized into numbered lists, with each item getting its own chapter.

Understanding the difference between research objectives and aim

The above explanation should make clear the difference between aim and objectives, but to clarify:

Aim focus on what a project proposes to achieve; objectives focus on how the project will achieve its goal.
The research objectives are more specific than the research aims.
Objectives focus on the short-term and immediate outcomes of a project while aim focus on its long-term outcomes.
It would be best to write an objective as a numbered list; research aim can be written in one sentence or short paragraph.

How to Write the Aim and Objectives of Research?

It is important to note that there is no definitive way to write clear objectives and aim for research. Researchers typically formulate their goals and objectives in so many different ways, and your supervisor may often influence the formulation based on their preferences.

Nevertheless, there are a few basic principles you should observe to ensure good practice; these principles are listed below.

Research Aim

The aim should include three parts, which address the following questions:

Why is this research necessary?
What is the purpose of this study?
How will you accomplish it?

It is easier to accomplish writing your research aim by addressing each question using its own sentence, although you can combine sentences for each or write multiple sentences for each question, the important thing is to address each one individually.

The first question, why, provides context to your research project, the second question, what describes the aim of your research, and the last question, how, acts as an introduction to your objectives which will immediately follow.

Research Objectives

Each of your research objectives should have the following:

Specific: Is the action you intend to take unclear, or is it focused and well-defined?
Assessable: What method will you use to measure your progress and determine when you have accomplished your goal?
Obtainable: Do you have the necessary support, resources, and facilities to execute the project?
Relevant: Does the action you propose support the achievement of your research aim?
Timebound: Are you realistically able to complete the action within the given timeframe?

Properly formulating the aims and objectives of your thesis, dissertation, or research paper is an integral part of its success. Your goals and objectives will determine what your research ultimately looks like in terms of scope, depth, and direction. You will gain clarity in your research and in the minds of your readers if you establish clear aims and objectives, with your aim stating what you wish to achieve, and your objectives indicating how you will do that. Moreover, you will have a clearer direction for your research if you take the time to establish your research objective and aim. This will lead to fewer future issues, but also to a more thorough and cohesive research project.

Feel free to reach out to us here if you need assistance in writing your objectives or aim for your thesis or research. You can also click here to learn more about the services provided.

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Formulating Research Aims and Objectives

Formulating research aim and objectives in an appropriate manner is one of the most important aspects of your thesis. This is because research aim and objectives determine the scope, depth and the overall direction of the research. Research question is the central question of the study that has to be answered on the basis of research findings.

Research aim emphasizes what needs to be achieved within the scope of the research, by the end of the research process. Achievement of research aim provides answer to the research question.

Research objectives divide research aim into several parts and address each part separately. Research aim specifies WHAT needs to be studied and research objectives comprise a number of steps that address HOW research aim will be achieved.

As a rule of dumb, there would be one research aim and several research objectives. Achievement of each research objective will lead to the achievement of the research aim.

Consider the following as an example:

Research title: Effects of organizational culture on business profitability: a case study of Virgin Atlantic

Research aim: To assess the effects of Virgin Atlantic organizational culture on business profitability

Following research objectives would facilitate the achievement of this aim:

Analyzing the nature of organizational culture at Virgin Atlantic by September 1, 2022
Identifying factors impacting Virgin Atlantic organizational culture by September 16, 2022
Analyzing impacts of Virgin Atlantic organizational culture on employee performances by September 30, 2022
Providing recommendations to Virgin Atlantic strategic level management in terms of increasing the level of effectiveness of organizational culture by October 5, 2022

Figure below illustrates additional examples in formulating research aims and objectives:

Formulation of research question, aim and objectives

Common mistakes in the formulation of research aim relate to the following:

1. Choosing the topic too broadly . This is the most common mistake. For example, a research title of “an analysis of leadership practices” can be classified as too broad because the title fails to answer the following questions:

a) Which aspects of leadership practices? Leadership has many aspects such as employee motivation, ethical behaviour, strategic planning, change management etc. An attempt to cover all of these aspects of organizational leadership within a single research will result in an unfocused and poor work.

b) An analysis of leadership practices in which country? Leadership practices tend to be different in various countries due to cross-cultural differences, legislations and a range of other region-specific factors. Therefore, a study of leadership practices needs to be country-specific.

c) Analysis of leadership practices in which company or industry? Similar to the point above, analysis of leadership practices needs to take into account industry-specific and/or company-specific differences, and there is no way to conduct a leadership research that relates to all industries and organizations in an equal manner.

Accordingly, as an example “a study into the impacts of ethical behaviour of a leader on the level of employee motivation in US healthcare sector” would be a more appropriate title than simply “An analysis of leadership practices”.

2. Setting an unrealistic aim . Formulation of a research aim that involves in-depth interviews with Apple strategic level management by an undergraduate level student can be specified as a bit over-ambitious. This is because securing an interview with Apple CEO Tim Cook or members of Apple Board of Directors might not be easy. This is an extreme example of course, but you got the idea. Instead, you may aim to interview the manager of your local Apple store and adopt a more feasible strategy to get your dissertation completed.

3. Choosing research methods incompatible with the timeframe available . Conducting interviews with 20 sample group members and collecting primary data through 2 focus groups when only three months left until submission of your dissertation can be very difficult, if not impossible. Accordingly, timeframe available need to be taken into account when formulating research aims and objectives and selecting research methods.

Moreover, research objectives need to be formulated according to SMART principle,

where the abbreviation stands for specific, measurable, achievable, realistic, and time-bound.

Examples of SMART research objectives

At the conclusion part of your research project you will need to reflect on the level of achievement of research aims and objectives. In case your research aims and objectives are not fully achieved by the end of the study, you will need to discuss the reasons. These may include initial inappropriate formulation of research aims and objectives, effects of other variables that were not considered at the beginning of the research or changes in some circumstances during the research process.

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A Practical Guide to Writing Quantitative and Qualitative Research Questions and Hypotheses in Scholarly Articles

Edward barroga.

1 Department of General Education, Graduate School of Nursing Science, St. Luke’s International University, Tokyo, Japan.

Glafera Janet Matanguihan

2 Department of Biological Sciences, Messiah University, Mechanicsburg, PA, USA.

The development of research questions and the subsequent hypotheses are prerequisites to defining the main research purpose and specific objectives of a study. Consequently, these objectives determine the study design and research outcome. The development of research questions is a process based on knowledge of current trends, cutting-edge studies, and technological advances in the research field. Excellent research questions are focused and require a comprehensive literature search and in-depth understanding of the problem being investigated. Initially, research questions may be written as descriptive questions which could be developed into inferential questions. These questions must be specific and concise to provide a clear foundation for developing hypotheses. Hypotheses are more formal predictions about the research outcomes. These specify the possible results that may or may not be expected regarding the relationship between groups. Thus, research questions and hypotheses clarify the main purpose and specific objectives of the study, which in turn dictate the design of the study, its direction, and outcome. Studies developed from good research questions and hypotheses will have trustworthy outcomes with wide-ranging social and health implications.

INTRODUCTION

Scientific research is usually initiated by posing evidenced-based research questions which are then explicitly restated as hypotheses. 1 , 2 The hypotheses provide directions to guide the study, solutions, explanations, and expected results. 3 , 4 Both research questions and hypotheses are essentially formulated based on conventional theories and real-world processes, which allow the inception of novel studies and the ethical testing of ideas. 5 , 6

It is crucial to have knowledge of both quantitative and qualitative research 2 as both types of research involve writing research questions and hypotheses. 7 However, these crucial elements of research are sometimes overlooked; if not overlooked, then framed without the forethought and meticulous attention it needs. Planning and careful consideration are needed when developing quantitative or qualitative research, particularly when conceptualizing research questions and hypotheses. 4

There is a continuing need to support researchers in the creation of innovative research questions and hypotheses, as well as for journal articles that carefully review these elements. 1 When research questions and hypotheses are not carefully thought of, unethical studies and poor outcomes usually ensue. Carefully formulated research questions and hypotheses define well-founded objectives, which in turn determine the appropriate design, course, and outcome of the study. This article then aims to discuss in detail the various aspects of crafting research questions and hypotheses, with the goal of guiding researchers as they develop their own. Examples from the authors and peer-reviewed scientific articles in the healthcare field are provided to illustrate key points.

DEFINITIONS AND RELATIONSHIP OF RESEARCH QUESTIONS AND HYPOTHESES

A research question is what a study aims to answer after data analysis and interpretation. The answer is written in length in the discussion section of the paper. Thus, the research question gives a preview of the different parts and variables of the study meant to address the problem posed in the research question. 1 An excellent research question clarifies the research writing while facilitating understanding of the research topic, objective, scope, and limitations of the study. 5

On the other hand, a research hypothesis is an educated statement of an expected outcome. This statement is based on background research and current knowledge. 8 , 9 The research hypothesis makes a specific prediction about a new phenomenon 10 or a formal statement on the expected relationship between an independent variable and a dependent variable. 3 , 11 It provides a tentative answer to the research question to be tested or explored. 4

Hypotheses employ reasoning to predict a theory-based outcome. 10 These can also be developed from theories by focusing on components of theories that have not yet been observed. 10 The validity of hypotheses is often based on the testability of the prediction made in a reproducible experiment. 8

Conversely, hypotheses can also be rephrased as research questions. Several hypotheses based on existing theories and knowledge may be needed to answer a research question. Developing ethical research questions and hypotheses creates a research design that has logical relationships among variables. These relationships serve as a solid foundation for the conduct of the study. 4 , 11 Haphazardly constructed research questions can result in poorly formulated hypotheses and improper study designs, leading to unreliable results. Thus, the formulations of relevant research questions and verifiable hypotheses are crucial when beginning research. 12

CHARACTERISTICS OF GOOD RESEARCH QUESTIONS AND HYPOTHESES

Excellent research questions are specific and focused. These integrate collective data and observations to confirm or refute the subsequent hypotheses. Well-constructed hypotheses are based on previous reports and verify the research context. These are realistic, in-depth, sufficiently complex, and reproducible. More importantly, these hypotheses can be addressed and tested. 13

There are several characteristics of well-developed hypotheses. Good hypotheses are 1) empirically testable 7 , 10 , 11 , 13 ; 2) backed by preliminary evidence 9 ; 3) testable by ethical research 7 , 9 ; 4) based on original ideas 9 ; 5) have evidenced-based logical reasoning 10 ; and 6) can be predicted. 11 Good hypotheses can infer ethical and positive implications, indicating the presence of a relationship or effect relevant to the research theme. 7 , 11 These are initially developed from a general theory and branch into specific hypotheses by deductive reasoning. In the absence of a theory to base the hypotheses, inductive reasoning based on specific observations or findings form more general hypotheses. 10

TYPES OF RESEARCH QUESTIONS AND HYPOTHESES

Research questions and hypotheses are developed according to the type of research, which can be broadly classified into quantitative and qualitative research. We provide a summary of the types of research questions and hypotheses under quantitative and qualitative research categories in Table 1 .

Research questions in quantitative research

In quantitative research, research questions inquire about the relationships among variables being investigated and are usually framed at the start of the study. These are precise and typically linked to the subject population, dependent and independent variables, and research design. 1 Research questions may also attempt to describe the behavior of a population in relation to one or more variables, or describe the characteristics of variables to be measured ( descriptive research questions ). 1 , 5 , 14 These questions may also aim to discover differences between groups within the context of an outcome variable ( comparative research questions ), 1 , 5 , 14 or elucidate trends and interactions among variables ( relationship research questions ). 1 , 5 We provide examples of descriptive, comparative, and relationship research questions in quantitative research in Table 2 .

Hypotheses in quantitative research

In quantitative research, hypotheses predict the expected relationships among variables. 15 Relationships among variables that can be predicted include 1) between a single dependent variable and a single independent variable ( simple hypothesis ) or 2) between two or more independent and dependent variables ( complex hypothesis ). 4 , 11 Hypotheses may also specify the expected direction to be followed and imply an intellectual commitment to a particular outcome ( directional hypothesis ) 4 . On the other hand, hypotheses may not predict the exact direction and are used in the absence of a theory, or when findings contradict previous studies ( non-directional hypothesis ). 4 In addition, hypotheses can 1) define interdependency between variables ( associative hypothesis ), 4 2) propose an effect on the dependent variable from manipulation of the independent variable ( causal hypothesis ), 4 3) state a negative relationship between two variables ( null hypothesis ), 4 , 11 , 15 4) replace the working hypothesis if rejected ( alternative hypothesis ), 15 explain the relationship of phenomena to possibly generate a theory ( working hypothesis ), 11 5) involve quantifiable variables that can be tested statistically ( statistical hypothesis ), 11 6) or express a relationship whose interlinks can be verified logically ( logical hypothesis ). 11 We provide examples of simple, complex, directional, non-directional, associative, causal, null, alternative, working, statistical, and logical hypotheses in quantitative research, as well as the definition of quantitative hypothesis-testing research in Table 3 .

Research questions in qualitative research

Unlike research questions in quantitative research, research questions in qualitative research are usually continuously reviewed and reformulated. The central question and associated subquestions are stated more than the hypotheses. 15 The central question broadly explores a complex set of factors surrounding the central phenomenon, aiming to present the varied perspectives of participants. 15

There are varied goals for which qualitative research questions are developed. These questions can function in several ways, such as to 1) identify and describe existing conditions ( contextual research question s); 2) describe a phenomenon ( descriptive research questions ); 3) assess the effectiveness of existing methods, protocols, theories, or procedures ( evaluation research questions ); 4) examine a phenomenon or analyze the reasons or relationships between subjects or phenomena ( explanatory research questions ); or 5) focus on unknown aspects of a particular topic ( exploratory research questions ). 5 In addition, some qualitative research questions provide new ideas for the development of theories and actions ( generative research questions ) or advance specific ideologies of a position ( ideological research questions ). 1 Other qualitative research questions may build on a body of existing literature and become working guidelines ( ethnographic research questions ). Research questions may also be broadly stated without specific reference to the existing literature or a typology of questions ( phenomenological research questions ), may be directed towards generating a theory of some process ( grounded theory questions ), or may address a description of the case and the emerging themes ( qualitative case study questions ). 15 We provide examples of contextual, descriptive, evaluation, explanatory, exploratory, generative, ideological, ethnographic, phenomenological, grounded theory, and qualitative case study research questions in qualitative research in Table 4 , and the definition of qualitative hypothesis-generating research in Table 5 .

Qualitative studies usually pose at least one central research question and several subquestions starting with How or What . These research questions use exploratory verbs such as explore or describe . These also focus on one central phenomenon of interest, and may mention the participants and research site. 15

Hypotheses in qualitative research

Hypotheses in qualitative research are stated in the form of a clear statement concerning the problem to be investigated. Unlike in quantitative research where hypotheses are usually developed to be tested, qualitative research can lead to both hypothesis-testing and hypothesis-generating outcomes. 2 When studies require both quantitative and qualitative research questions, this suggests an integrative process between both research methods wherein a single mixed-methods research question can be developed. 1

FRAMEWORKS FOR DEVELOPING RESEARCH QUESTIONS AND HYPOTHESES

Research questions followed by hypotheses should be developed before the start of the study. 1 , 12 , 14 It is crucial to develop feasible research questions on a topic that is interesting to both the researcher and the scientific community. This can be achieved by a meticulous review of previous and current studies to establish a novel topic. Specific areas are subsequently focused on to generate ethical research questions. The relevance of the research questions is evaluated in terms of clarity of the resulting data, specificity of the methodology, objectivity of the outcome, depth of the research, and impact of the study. 1 , 5 These aspects constitute the FINER criteria (i.e., Feasible, Interesting, Novel, Ethical, and Relevant). 1 Clarity and effectiveness are achieved if research questions meet the FINER criteria. In addition to the FINER criteria, Ratan et al. described focus, complexity, novelty, feasibility, and measurability for evaluating the effectiveness of research questions. 14

The PICOT and PEO frameworks are also used when developing research questions. 1 The following elements are addressed in these frameworks, PICOT: P-population/patients/problem, I-intervention or indicator being studied, C-comparison group, O-outcome of interest, and T-timeframe of the study; PEO: P-population being studied, E-exposure to preexisting conditions, and O-outcome of interest. 1 Research questions are also considered good if these meet the “FINERMAPS” framework: Feasible, Interesting, Novel, Ethical, Relevant, Manageable, Appropriate, Potential value/publishable, and Systematic. 14

As we indicated earlier, research questions and hypotheses that are not carefully formulated result in unethical studies or poor outcomes. To illustrate this, we provide some examples of ambiguous research question and hypotheses that result in unclear and weak research objectives in quantitative research ( Table 6 ) 16 and qualitative research ( Table 7 ) 17 , and how to transform these ambiguous research question(s) and hypothesis(es) into clear and good statements.

a These statements were composed for comparison and illustrative purposes only.

b These statements are direct quotes from Higashihara and Horiuchi. 16

a This statement is a direct quote from Shimoda et al. 17

The other statements were composed for comparison and illustrative purposes only.

CONSTRUCTING RESEARCH QUESTIONS AND HYPOTHESES

To construct effective research questions and hypotheses, it is very important to 1) clarify the background and 2) identify the research problem at the outset of the research, within a specific timeframe. 9 Then, 3) review or conduct preliminary research to collect all available knowledge about the possible research questions by studying theories and previous studies. 18 Afterwards, 4) construct research questions to investigate the research problem. Identify variables to be accessed from the research questions 4 and make operational definitions of constructs from the research problem and questions. Thereafter, 5) construct specific deductive or inductive predictions in the form of hypotheses. 4 Finally, 6) state the study aims . This general flow for constructing effective research questions and hypotheses prior to conducting research is shown in Fig. 1 .

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Research questions are used more frequently in qualitative research than objectives or hypotheses. 3 These questions seek to discover, understand, explore or describe experiences by asking “What” or “How.” The questions are open-ended to elicit a description rather than to relate variables or compare groups. The questions are continually reviewed, reformulated, and changed during the qualitative study. 3 Research questions are also used more frequently in survey projects than hypotheses in experiments in quantitative research to compare variables and their relationships.

Hypotheses are constructed based on the variables identified and as an if-then statement, following the template, ‘If a specific action is taken, then a certain outcome is expected.’ At this stage, some ideas regarding expectations from the research to be conducted must be drawn. 18 Then, the variables to be manipulated (independent) and influenced (dependent) are defined. 4 Thereafter, the hypothesis is stated and refined, and reproducible data tailored to the hypothesis are identified, collected, and analyzed. 4 The hypotheses must be testable and specific, 18 and should describe the variables and their relationships, the specific group being studied, and the predicted research outcome. 18 Hypotheses construction involves a testable proposition to be deduced from theory, and independent and dependent variables to be separated and measured separately. 3 Therefore, good hypotheses must be based on good research questions constructed at the start of a study or trial. 12

In summary, research questions are constructed after establishing the background of the study. Hypotheses are then developed based on the research questions. Thus, it is crucial to have excellent research questions to generate superior hypotheses. In turn, these would determine the research objectives and the design of the study, and ultimately, the outcome of the research. 12 Algorithms for building research questions and hypotheses are shown in Fig. 2 for quantitative research and in Fig. 3 for qualitative research.

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EXAMPLES OF RESEARCH QUESTIONS FROM PUBLISHED ARTICLES

EXAMPLE 1. Descriptive research question (quantitative research)
- Presents research variables to be assessed (distinct phenotypes and subphenotypes)
“BACKGROUND: Since COVID-19 was identified, its clinical and biological heterogeneity has been recognized. Identifying COVID-19 phenotypes might help guide basic, clinical, and translational research efforts.
RESEARCH QUESTION: Does the clinical spectrum of patients with COVID-19 contain distinct phenotypes and subphenotypes? ” 19
EXAMPLE 2. Relationship research question (quantitative research)
- Shows interactions between dependent variable (static postural control) and independent variable (peripheral visual field loss)
“Background: Integration of visual, vestibular, and proprioceptive sensations contributes to postural control. People with peripheral visual field loss have serious postural instability. However, the directional specificity of postural stability and sensory reweighting caused by gradual peripheral visual field loss remain unclear.
Research question: What are the effects of peripheral visual field loss on static postural control ?” 20
EXAMPLE 3. Comparative research question (quantitative research)
- Clarifies the difference among groups with an outcome variable (patients enrolled in COMPERA with moderate PH or severe PH in COPD) and another group without the outcome variable (patients with idiopathic pulmonary arterial hypertension (IPAH))
“BACKGROUND: Pulmonary hypertension (PH) in COPD is a poorly investigated clinical condition.
RESEARCH QUESTION: Which factors determine the outcome of PH in COPD?
STUDY DESIGN AND METHODS: We analyzed the characteristics and outcome of patients enrolled in the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) with moderate or severe PH in COPD as defined during the 6th PH World Symposium who received medical therapy for PH and compared them with patients with idiopathic pulmonary arterial hypertension (IPAH) .” 21
EXAMPLE 4. Exploratory research question (qualitative research)
- Explores areas that have not been fully investigated (perspectives of families and children who receive care in clinic-based child obesity treatment) to have a deeper understanding of the research problem
“Problem: Interventions for children with obesity lead to only modest improvements in BMI and long-term outcomes, and data are limited on the perspectives of families of children with obesity in clinic-based treatment. This scoping review seeks to answer the question: What is known about the perspectives of families and children who receive care in clinic-based child obesity treatment? This review aims to explore the scope of perspectives reported by families of children with obesity who have received individualized outpatient clinic-based obesity treatment.” 22
EXAMPLE 5. Relationship research question (quantitative research)
- Defines interactions between dependent variable (use of ankle strategies) and independent variable (changes in muscle tone)
“Background: To maintain an upright standing posture against external disturbances, the human body mainly employs two types of postural control strategies: “ankle strategy” and “hip strategy.” While it has been reported that the magnitude of the disturbance alters the use of postural control strategies, it has not been elucidated how the level of muscle tone, one of the crucial parameters of bodily function, determines the use of each strategy. We have previously confirmed using forward dynamics simulations of human musculoskeletal models that an increased muscle tone promotes the use of ankle strategies. The objective of the present study was to experimentally evaluate a hypothesis: an increased muscle tone promotes the use of ankle strategies. Research question: Do changes in the muscle tone affect the use of ankle strategies ?” 23

EXAMPLES OF HYPOTHESES IN PUBLISHED ARTICLES

EXAMPLE 1. Working hypothesis (quantitative research)
- A hypothesis that is initially accepted for further research to produce a feasible theory
“As fever may have benefit in shortening the duration of viral illness, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response when taken during the early stages of COVID-19 illness .” 24
“In conclusion, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response . The difference in perceived safety of these agents in COVID-19 illness could be related to the more potent efficacy to reduce fever with ibuprofen compared to acetaminophen. Compelling data on the benefit of fever warrant further research and review to determine when to treat or withhold ibuprofen for early stage fever for COVID-19 and other related viral illnesses .” 24
EXAMPLE 2. Exploratory hypothesis (qualitative research)
- Explores particular areas deeper to clarify subjective experience and develop a formal hypothesis potentially testable in a future quantitative approach
“We hypothesized that when thinking about a past experience of help-seeking, a self distancing prompt would cause increased help-seeking intentions and more favorable help-seeking outcome expectations .” 25
“Conclusion
Although a priori hypotheses were not supported, further research is warranted as results indicate the potential for using self-distancing approaches to increasing help-seeking among some people with depressive symptomatology.” 25
EXAMPLE 3. Hypothesis-generating research to establish a framework for hypothesis testing (qualitative research)
“We hypothesize that compassionate care is beneficial for patients (better outcomes), healthcare systems and payers (lower costs), and healthcare providers (lower burnout). ” 26
Compassionomics is the branch of knowledge and scientific study of the effects of compassionate healthcare. Our main hypotheses are that compassionate healthcare is beneficial for (1) patients, by improving clinical outcomes, (2) healthcare systems and payers, by supporting financial sustainability, and (3) HCPs, by lowering burnout and promoting resilience and well-being. The purpose of this paper is to establish a scientific framework for testing the hypotheses above . If these hypotheses are confirmed through rigorous research, compassionomics will belong in the science of evidence-based medicine, with major implications for all healthcare domains.” 26
EXAMPLE 4. Statistical hypothesis (quantitative research)
- An assumption is made about the relationship among several population characteristics ( gender differences in sociodemographic and clinical characteristics of adults with ADHD ). Validity is tested by statistical experiment or analysis ( chi-square test, Students t-test, and logistic regression analysis)
“Our research investigated gender differences in sociodemographic and clinical characteristics of adults with ADHD in a Japanese clinical sample. Due to unique Japanese cultural ideals and expectations of women's behavior that are in opposition to ADHD symptoms, we hypothesized that women with ADHD experience more difficulties and present more dysfunctions than men . We tested the following hypotheses: first, women with ADHD have more comorbidities than men with ADHD; second, women with ADHD experience more social hardships than men, such as having less full-time employment and being more likely to be divorced.” 27
“Statistical Analysis
( text omitted ) Between-gender comparisons were made using the chi-squared test for categorical variables and Students t-test for continuous variables…( text omitted ). A logistic regression analysis was performed for employment status, marital status, and comorbidity to evaluate the independent effects of gender on these dependent variables.” 27

EXAMPLES OF HYPOTHESIS AS WRITTEN IN PUBLISHED ARTICLES IN RELATION TO OTHER PARTS

EXAMPLE 1. Background, hypotheses, and aims are provided
“Pregnant women need skilled care during pregnancy and childbirth, but that skilled care is often delayed in some countries …( text omitted ). The focused antenatal care (FANC) model of WHO recommends that nurses provide information or counseling to all pregnant women …( text omitted ). Job aids are visual support materials that provide the right kind of information using graphics and words in a simple and yet effective manner. When nurses are not highly trained or have many work details to attend to, these job aids can serve as a content reminder for the nurses and can be used for educating their patients (Jennings, Yebadokpo, Affo, & Agbogbe, 2010) ( text omitted ). Importantly, additional evidence is needed to confirm how job aids can further improve the quality of ANC counseling by health workers in maternal care …( text omitted )” 28
“ This has led us to hypothesize that the quality of ANC counseling would be better if supported by job aids. Consequently, a better quality of ANC counseling is expected to produce higher levels of awareness concerning the danger signs of pregnancy and a more favorable impression of the caring behavior of nurses .” 28
“This study aimed to examine the differences in the responses of pregnant women to a job aid-supported intervention during ANC visit in terms of 1) their understanding of the danger signs of pregnancy and 2) their impression of the caring behaviors of nurses to pregnant women in rural Tanzania.” 28
EXAMPLE 2. Background, hypotheses, and aims are provided
“We conducted a two-arm randomized controlled trial (RCT) to evaluate and compare changes in salivary cortisol and oxytocin levels of first-time pregnant women between experimental and control groups. The women in the experimental group touched and held an infant for 30 min (experimental intervention protocol), whereas those in the control group watched a DVD movie of an infant (control intervention protocol). The primary outcome was salivary cortisol level and the secondary outcome was salivary oxytocin level.” 29
“ We hypothesize that at 30 min after touching and holding an infant, the salivary cortisol level will significantly decrease and the salivary oxytocin level will increase in the experimental group compared with the control group .” 29
EXAMPLE 3. Background, aim, and hypothesis are provided
“In countries where the maternal mortality ratio remains high, antenatal education to increase Birth Preparedness and Complication Readiness (BPCR) is considered one of the top priorities [1]. BPCR includes birth plans during the antenatal period, such as the birthplace, birth attendant, transportation, health facility for complications, expenses, and birth materials, as well as family coordination to achieve such birth plans. In Tanzania, although increasing, only about half of all pregnant women attend an antenatal clinic more than four times [4]. Moreover, the information provided during antenatal care (ANC) is insufficient. In the resource-poor settings, antenatal group education is a potential approach because of the limited time for individual counseling at antenatal clinics.” 30
“This study aimed to evaluate an antenatal group education program among pregnant women and their families with respect to birth-preparedness and maternal and infant outcomes in rural villages of Tanzania.” 30
“ The study hypothesis was if Tanzanian pregnant women and their families received a family-oriented antenatal group education, they would (1) have a higher level of BPCR, (2) attend antenatal clinic four or more times, (3) give birth in a health facility, (4) have less complications of women at birth, and (5) have less complications and deaths of infants than those who did not receive the education .” 30

Research questions and hypotheses are crucial components to any type of research, whether quantitative or qualitative. These questions should be developed at the very beginning of the study. Excellent research questions lead to superior hypotheses, which, like a compass, set the direction of research, and can often determine the successful conduct of the study. Many research studies have floundered because the development of research questions and subsequent hypotheses was not given the thought and meticulous attention needed. The development of research questions and hypotheses is an iterative process based on extensive knowledge of the literature and insightful grasp of the knowledge gap. Focused, concise, and specific research questions provide a strong foundation for constructing hypotheses which serve as formal predictions about the research outcomes. Research questions and hypotheses are crucial elements of research that should not be overlooked. They should be carefully thought of and constructed when planning research. This avoids unethical studies and poor outcomes by defining well-founded objectives that determine the design, course, and outcome of the study.

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

Conceptualization: Barroga E, Matanguihan GJ.
Methodology: Barroga E, Matanguihan GJ.
Writing - original draft: Barroga E, Matanguihan GJ.
Writing - review & editing: Barroga E, Matanguihan GJ.

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Article Contents

Primacy of the research question, structure of the paper, writing a research article: advice to beginners.

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Thomas V. Perneger, Patricia M. Hudelson, Writing a research article: advice to beginners, International Journal for Quality in Health Care , Volume 16, Issue 3, June 2004, Pages 191–192, https://doi.org/10.1093/intqhc/mzh053

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Writing research papers does not come naturally to most of us. The typical research paper is a highly codified rhetorical form [ 1 , 2 ]. Knowledge of the rules—some explicit, others implied—goes a long way toward writing a paper that will get accepted in a peer-reviewed journal.

A good research paper addresses a specific research question. The research question—or study objective or main research hypothesis—is the central organizing principle of the paper. Whatever relates to the research question belongs in the paper; the rest doesn’t. This is perhaps obvious when the paper reports on a well planned research project. However, in applied domains such as quality improvement, some papers are written based on projects that were undertaken for operational reasons, and not with the primary aim of producing new knowledge. In such cases, authors should define the main research question a posteriori and design the paper around it.

Generally, only one main research question should be addressed in a paper (secondary but related questions are allowed). If a project allows you to explore several distinct research questions, write several papers. For instance, if you measured the impact of obtaining written consent on patient satisfaction at a specialized clinic using a newly developed questionnaire, you may want to write one paper on the questionnaire development and validation, and another on the impact of the intervention. The idea is not to split results into ‘least publishable units’, a practice that is rightly decried, but rather into ‘optimally publishable units’.

What is a good research question? The key attributes are: (i) specificity; (ii) originality or novelty; and (iii) general relevance to a broad scientific community. The research question should be precise and not merely identify a general area of inquiry. It can often (but not always) be expressed in terms of a possible association between X and Y in a population Z, for example ‘we examined whether providing patients about to be discharged from the hospital with written information about their medications would improve their compliance with the treatment 1 month later’. A study does not necessarily have to break completely new ground, but it should extend previous knowledge in a useful way, or alternatively refute existing knowledge. Finally, the question should be of interest to others who work in the same scientific area. The latter requirement is more challenging for those who work in applied science than for basic scientists. While it may safely be assumed that the human genome is the same worldwide, whether the results of a local quality improvement project have wider relevance requires careful consideration and argument.

Once the research question is clearly defined, writing the paper becomes considerably easier. The paper will ask the question, then answer it. The key to successful scientific writing is getting the structure of the paper right. The basic structure of a typical research paper is the sequence of Introduction, Methods, Results, and Discussion (sometimes abbreviated as IMRAD). Each section addresses a different objective. The authors state: (i) the problem they intend to address—in other terms, the research question—in the Introduction; (ii) what they did to answer the question in the Methods section; (iii) what they observed in the Results section; and (iv) what they think the results mean in the Discussion.

In turn, each basic section addresses several topics, and may be divided into subsections (Table 1 ). In the Introduction, the authors should explain the rationale and background to the study. What is the research question, and why is it important to ask it? While it is neither necessary nor desirable to provide a full-blown review of the literature as a prelude to the study, it is helpful to situate the study within some larger field of enquiry. The research question should always be spelled out, and not merely left for the reader to guess.

Typical structure of a research paper

The Methods section should provide the readers with sufficient detail about the study methods to be able to reproduce the study if so desired. Thus, this section should be specific, concrete, technical, and fairly detailed. The study setting, the sampling strategy used, instruments, data collection methods, and analysis strategies should be described. In the case of qualitative research studies, it is also useful to tell the reader which research tradition the study utilizes and to link the choice of methodological strategies with the research goals [ 3 ].

The Results section is typically fairly straightforward and factual. All results that relate to the research question should be given in detail, including simple counts and percentages. Resist the temptation to demonstrate analytic ability and the richness of the dataset by providing numerous tables of non-essential results.

The Discussion section allows the most freedom. This is why the Discussion is the most difficult to write, and is often the weakest part of a paper. Structured Discussion sections have been proposed by some journal editors [ 4 ]. While strict adherence to such rules may not be necessary, following a plan such as that proposed in Table 1 may help the novice writer stay on track.

References should be used wisely. Key assertions should be referenced, as well as the methods and instruments used. However, unless the paper is a comprehensive review of a topic, there is no need to be exhaustive. Also, references to unpublished work, to documents in the grey literature (technical reports), or to any source that the reader will have difficulty finding or understanding should be avoided.

Having the structure of the paper in place is a good start. However, there are many details that have to be attended to while writing. An obvious recommendation is to read, and follow, the instructions to authors published by the journal (typically found on the journal’s website). Another concerns non-native writers of English: do have a native speaker edit the manuscript. A paper usually goes through several drafts before it is submitted. When revising a paper, it is useful to keep an eye out for the most common mistakes (Table 2 ). If you avoid all those, your paper should be in good shape.

Common mistakes seen in manuscripts submitted to this journal

Huth EJ . How to Write and Publish Papers in the Medical Sciences , 2nd edition. Baltimore, MD: Williams & Wilkins, 1990 .

Browner WS . Publishing and Presenting Clinical Research . Baltimore, MD: Lippincott, Williams & Wilkins, 1999 .

Devers KJ , Frankel RM. Getting qualitative research published. Educ Health 2001 ; 14 : 109 –117.

Docherty M , Smith R. The case for structuring the discussion of scientific papers. Br Med J 1999 ; 318 : 1224 –1225.

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Methodology

Research Design | Step-by-Step Guide with Examples

Published on 5 May 2022 by Shona McCombes . Revised on 20 March 2023.

A research design is a strategy for answering your research question using empirical data. Creating a research design means making decisions about:

Your overall aims and approach
The type of research design you’ll use
Your sampling methods or criteria for selecting subjects
Your data collection methods
The procedures you’ll follow to collect data
Your data analysis methods

A well-planned research design helps ensure that your methods match your research aims and that you use the right kind of analysis for your data.

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, frequently asked questions.

Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities – start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

How much time do you have to collect data and write up the research?
Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

Prevent plagiarism, run a free check.

Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types. Experimental and quasi-experimental designs allow you to test cause-and-effect relationships, while descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends, and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analysing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study – plants, animals, organisations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region, or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalise your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study, your aim is to deeply understand a specific context, not to generalise to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question.

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviours, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews.

Observation methods

Observations allow you to collect data unobtrusively, observing characteristics, behaviours, or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected – for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.

Operationalisation

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalisation means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in – for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced , while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method, you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

How many participants do you need for an adequate sample size?
What inclusion and exclusion criteria will you use to identify eligible participants?
How will you contact your sample – by mail, online, by phone, or in person?

If you’re using a probability sampling method, it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method, how will you avoid bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organising and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymise and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well organised will save time when it comes to analysing them. It can also help other researchers validate and add to your findings.

On their own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyse the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarise your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarise your sample data in terms of:

The distribution of the data (e.g., the frequency of each score on a test)
The central tendency of the data (e.g., the mean to describe the average score)
The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

Make estimates about the population based on your sample data.
Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analysing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

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.

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.

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.

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Write Your Specific Aims Page

The specific aims page, especially the aims themselves, are the crux of your grant application. Use the following tips to write a strong, clear specific aims page. Use the Specific Aims Page Checklist to assess your writing and to ensure that you have included all of the necessary components.

Create a ‘Funnel Shape’ Conceptually

Create a focused lead paragraph that has a "funnel shape" conceptually. Lead the reader from the general to the specific, so that by the time your specific aims appear, it's clear what gap in the literature you're addressing and how this new knowledge will fit into the field. This introduction should also indicate how this proposal builds upon your previous data.

Example: "The mechanism by which cirrhosis of the liver occurs in a subset of patients with Cystic Fibrosis is unknown. Our data over the past 3 years has demonstrated that gene X is a candidate modifier gene by crossing Cystic Fibrosis knockout mice with gene X deficient mice. This proposal will build upon these results and test the hypothesis that Gene X is a modifier gene through its fibrogenic activation properties."

Write a Clear, Testable Hypothesis

Strive to create one clear hypothesis first that will be tested through your specific aims . Know the difference between specific aims and long-term goals .

Note: Depending on the grant you are seeking, this rule may not be possible or desirable. For example, if you are applying for an R01 grant in health services/outcomes research, the typical grant in this area has a data collection project at its core that often addresses more than one goal . Therefore, the nature of the project is often briefly described in the last sentence of the introduction, rather than in the specific aims.

Example: "We will conduct a multi-center, prospective, longitudinal study of 1000 patients undergoing bone marrow transplantation for hematologic malignancies in order to..."

Do: "Three cloves of garlic per day cure colon cancer through activation of the caspase death pathway in tumor cells."

Don't: "There are various chemicals within garlic that have different effects on all cells including tumor cells."

Tips on Writing Specific Aims

Make Aims Concise and Highly Focused
Ensure Clear Results
Write Aims that Test Single Hypothesis
Indicate Why, What and How
Avoid Sub-Aims

Your specific aims is the crux of your proposal so make sure they are concise and highly focused. Get them critiqued, and rewrite until the aims are solid and provide a foundation for the rest of your proposal.

Ensure that your specific aims will provide clear results and that they test your hypothesis . Do: Hypothesis: "Three cloves of garlic per day cure colon cancer through activation of the caspase death pathway in tumor cells." Specific Aims: "1. Test in vitro in T84 colon cancer cells and in vivo in a mouse model of colon cancer that garlic activates the caspase death pathway. 2. Activation of this caspase pathway leads to tumor regression."

Don't: Hypothesis: "There are various chemicals within garlic that have different effects on all cells including tumor cells." Specific aims: "1. We will explore whether incubating different cell types in vitro with garlic affects cell survival. 2. Garlic proteins will be extracted and analyzed by mass spectroscopy."

Write specific aims that test a single, overarching hypothesis , and not individual aims connected to their own hypotheses. Note: Depending on the grant you are seeking, this rule may not be possible or desirable. For example, if you are applying for an R01 grant in health services/outcomes research, the typical grant in this area has a data collection project at its core that often addresses more than one goal . Therefore, the nature of the project is often briefly described in the last sentence of the introduction, rather than in the specific aims.

Example: "We will conduct a multi-center prospective, longitudinal study of 1000 patients undergoing bone marrow transplantation for hematologic malignancies in order to..."

Convey specific aims that indicate why you want to do the work, what you want to do, and how you will do it.

Include no more than three aims and no sub-aims , if possible. Generally, you should not have four or more aims with sub-aims and/or their own hypotheses .

NIH K GRANT SPECIFIC AIMS PAGE RUBRIC

The rubric below provides recommendations for a Specific Aims page of a NIH K grant application . In addition to overall considerations, this rubric is broken up into four parts that correspond to the four sections of a Specific Aims page: the introduction paragraph, the body paragraph(s), the specific aims themselves, and the closing, or impact paragraph.

Use this rubric after you’ve completed a Specific Aims page draft to ensure that you have included all the necessary components. Review the completed rubric and carefully note any unchecked boxes. Review the resources linked throughout this document and use them to improve your Specific Aims page.

Please Note: While this rubric is meant to be a comprehensive resource, we acknowledge that there is no singular correct way to write a grant application and in some cases, deviation from this rubric may be warranted.

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How to Write a Literature Review | Guide, Examples, & Templates

How to Write a Literature Review | Guide, Examples, & Templates

Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .

There are five key steps to writing a literature review:

Search for relevant literature
Evaluate sources
Identify themes, debates, and gaps
Outline the structure
Write your literature review

A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.

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What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.

Quick Run-through
Step 1 & 2

When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

Demonstrate your familiarity with the topic and its scholarly context
Develop a theoretical framework and methodology for your research
Position your work in relation to other researchers and theorists
Show how your research addresses a gap or contributes to a debate
Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.

Prevent plagiarism. Run a free check.

Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .

Make a list of keywords

Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.

Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
Body image, self-perception, self-esteem, mental health
Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:

Your university’s library catalogue
Google Scholar
Project Muse (humanities and social sciences)
Medline (life sciences and biomedicine)
EconLit (economics)
Inspec (physics, engineering and computer science)

You can also use boolean operators to help narrow down your search.

Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.

For each publication, ask yourself:

What question or problem is the author addressing?
What are the key concepts and how are they defined?
What are the key theories, models, and methods?
Does the research use established frameworks or take an innovative approach?
What are the results and conclusions of the study?
How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
What are the strengths and weaknesses of the research?

Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.

You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
Themes: what questions or concepts recur across the literature?
Debates, conflicts and contradictions: where do sources disagree?
Pivotal publications: are there any influential theories or studies that changed the direction of the field?
Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

Most research has focused on young women.
There is an increasing interest in the visual aspects of social media.
But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.

There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.

Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

Look at what results have emerged in qualitative versus quantitative research
Discuss how the topic has been approached by empirical versus theoretical scholarship
Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, you can follow these tips:

Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
Analyze and interpret: don’t just paraphrase other researchers — add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
Critically evaluate: mention the strengths and weaknesses of your sources
Write in well-structured paragraphs: use transition words and topic sentences to draw connections, comparisons and contrasts

In the conclusion, you should summarize the key findings you have taken from the literature and emphasize their significance.

When you’ve finished writing and revising your literature review, don’t forget to proofread thoroughly before submitting. Not a language expert? Check out Scribbr’s professional proofreading services !

This article has been adapted into lecture slides that you can use to teach your students about writing a literature review.

Scribbr slides are free to use, customize, and distribute for educational purposes.

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If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Sampling methods
Simple random sampling
Stratified sampling
Cluster sampling
Likert scales
Reproducibility

Statistics

Null hypothesis
Statistical power
Probability distribution
Effect size
Poisson distribution

Research bias

Optimism bias
Cognitive bias
Implicit bias
Hawthorne effect
Anchoring bias
Explicit bias

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 thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.

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

To familiarize 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.

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

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other academic texts , with an introduction , a main body, and a conclusion .

An annotated bibliography is a list of source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a paper .

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Aims and Objectives
Summary. One of the most important aspects of a thesis, dissertation or research paper is the correct formulation of the aims and objectives. This is because your aims and objectives will establish the scope, depth and direction that your research will ultimately take. An effective set of aims and objectives will give your research focus and ...
Research Questions, Objectives & Aims (+ Examples)
The research aims, objectives and research questions (collectively called the "golden thread") are arguably the most important thing you need to get right when you're crafting a research proposal, dissertation or thesis.We receive questions almost every day about this "holy trinity" of research and there's certainly a lot of confusion out there, so we've crafted this post to help ...
Writing your research aims and objectives
2. When you write them up, be very specific. Don't leave things so vague that the reader is left unsure or unclear on what you aim to achieve. 3. Make sure there is a logical flow between each of your aims. They should make sense together and should each be separate components which, when added together, are bigger than the sum of their parts.
Research Objectives
How to write research aims and objectives. Once you've established a research problem you want to address, you need to decide how you will address it. This is where your research aim and objectives come in. Step 1: Decide on a general aim. Your research aim should reflect your research problem and should be relatively broad.
Writing Effective Research Aims and Objectives
This step in your research journey is usually the first written method used to convey your research idea to your tutor. Therefore, aims and objectives should clearly convey your topic, academic foundation, and research design. In order to write effective research aims and objectives, researchers should consider all aspects of their proposed work.
Research Aims and Objectives: The dynamic duo for successful ...
The research aim should be broad and concise. Develop research objectives: Based on your research questions and research aim, develop specific research objectives that outline what you intend to achieve through your research. These objectives should be specific, measurable, achievable, relevant, and time-bound (SMART).
How to Write the Dissertation Aims and Objectives
Writing objectives. The objectives describe how you would achieve your research aim. You can do this through the following steps, The first one to two objectives can be applied to the literature review. (Verbs to be used: investigate, examine, study) One objective can be applied to the methodology portion.
Research Aims and Objectives
The ways of writing a research aim varies with the researcher, but there are certain points to keep in mind to write a good quality research aim: 1. Answer the "why" question of the research: A research aim needs to provide an answer for why the study is being conducted. It needs to describe, in a small sentence or phares, why the research ...
Q: How do I write the aims and objectives of a research?
The aim of the research is the overall purpose of conducting the research. It could be to add to the knowledge in the area, to address an existing gap in the knowledge, to devise and test a solution to an existing problem, and so on. Objectives are the specific outcomes you expect to achieve through your research and that will enable you to ...
How to Write Research Objectives
To develop a set of research objectives, you would then break down the various steps involved in meeting said aim. For example: This study will investigate the link between dehydration and the incidence of urinary tract infections (UTIs) in intensive care patients in Australia. To achieve this, the study objectives w ill include:
A Guide to Writing Research Objectives and Aims
Aim focus on what a project proposes to achieve; objectives focus on how the project will achieve its goal. The research objectives are more specific than the research aims. Objectives focus on the short-term and immediate outcomes of a project while aim focus on its long-term outcomes. It would be best to write an objective as a numbered list ...
Formulating Research Aims and Objectives
Formulating research aim and objectives in an appropriate manner is one of the most important aspects of your thesis. This is because research aim and objectives determine the scope, depth and the overall direction of the research. Research question is the central question of the study that has to be answered on the basis of research findings.
What Are Research Objectives and How to Write Them (with Examples)
Formulating research objectives has the following five steps, which could help researchers develop a clear objective: 8. Identify the research problem. Review past studies on subjects similar to your problem statement, that is, studies that use similar methods, variables, etc.
A Practical Guide to Writing Quantitative and Qualitative Research
INTRODUCTION. Scientific research is usually initiated by posing evidenced-based research questions which are then explicitly restated as hypotheses.1,2 The hypotheses provide directions to guide the study, solutions, explanations, and expected results.3,4 Both research questions and hypotheses are essentially formulated based on conventional theories and real-world processes, which allow the ...
How to Write a Research Proposal
Research proposal examples. Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We've included a few for you below. Example research proposal #1: "A Conceptual Framework for Scheduling Constraint Management".
Aims and Hypotheses
Hypotheses. A hypothesis (plural hypotheses) is a precise, testable statement of what the researchers predict will be the outcome of the study. This usually involves proposing a possible relationship between two variables: the independent variable (what the researcher changes) and the dependant variable (what the research measures).
What's the difference between research aims and objectives?
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 ...
Writing a research article: advice to beginners
Writing research papers does not come naturally to most of us. The typical research paper is a highly codified rhetorical form [1,2]. Knowledge of the rules—som ... 'The aim of this paper is to describe what we did') or vague (e.g. 'We explored issues related to X') The structure of the paper is chaotic (e.g. methods are described in ...
Research Design
Step 1: Consider your aims and approach. Step 2: Choose a type of research design. Step 3: Identify your population and sampling method. Step 4: Choose your data collection methods. Step 5: Plan your data collection procedures. Step 6: Decide on your data analysis strategies. Frequently asked questions.
Write Your Specific Aims Page
Write specific aims that test a single, overarching hypothesis, and not individual aims connected to their own hypotheses. Note: Depending on the grant you are seeking, this rule may not be possible or desirable. For example, if you are applying for an R01 grant in health services/outcomes research, the typical grant in this area has a data collection project at its core that often addresses ...
Research Objectives: Definition and How To Write Them
Here are three simple steps that you can follow to identify and write your research objectives: 1. Pinpoint the major focus of your research. The first step to writing your research objectives is to pinpoint the major focus of your research project. In this step, make sure to clearly describe what you aim to achieve through your research.
How do you write SMART research aims for your proposal?
The SMART framework is a useful tool to help you write research aims that are clear, realistic, and achievable. SMART stands for Specific, Measurable, Achievable, Relevant, and Time-bound. Your ...
How to Write a Literature Review
Examples of literature reviews. Step 1 - Search for relevant literature. Step 2 - Evaluate and select sources. Step 3 - Identify themes, debates, and gaps. Step 4 - Outline your literature review's structure. Step 5 - Write your literature review.

Introduction

What Are Aims and Objectives?

Example of a Research Aim

Research Objectives

Example of a Research Objective

Restructuring Research Objectives as Research Questions

Difference Between Aims and Objectives

How to Write Aims and Objectives

Research Objectives

Table of Research Verbs to Use in Aims and Objectives

Checking Research Objective Example Against Recommended Approach

Mistakes in Writing Research Aims and Objectives

2. Making Your Research Objectives Too Ambitious

3. Formulating Repetitive Research Objectives

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Research Aims, Objectives & Questions

Overview: The Golden Thread

What is the “golden thread”?

Research Aims: What are they?

Research Aims: Examples

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Research Objectives: What are they?

Research Objectives: Examples

Research Questions: What are they?

Research Questions: Examples

The importance of strong alignment

Recap: The golden thread

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What are you doing and how are you doing it? Articulating your aims and objectives.

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Introduction

Identify the Meaning and Purpose of a Research Aim with Business Research

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Understand the Link Between an Effective Research Aim and the Wider Topic and Literature/secondary Sources, Where Appropriate

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Research Aims and Objectives: The dynamic duo for successful research

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