what is the aim in a research paper

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

Table showing common research verbs which should ideally be used at the start of a research aim or objective.
(Understanding and organising information)	(Solving problems using information)	(reaching conclusion from evidence)	(Breaking down into components)	(Judging merit)
Review Identify Explore Discover Discuss Summarise Describe	Interpret Apply Demonstrate Establish Determine Estimate Calculate Relate	Analyse Compare Inspect Examine Verify Select Test Arrange	Propose Design Formulate Collect Construct Prepare Undertake Assemble	Appraise Evaluate Compare Assess Recommend Conclude Select

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.

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39 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 know you pepole have tried to break things into more understandable and easy format. And God bless you. Keep it up

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.

thank you so much, the explanation and examples are really helpful

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Educational resources and simple solutions for your research journey

What Are Research Objectives and How to Write Them (with Examples)

Table of Contents

Introduction

Research is at the center of everything researchers do, and setting clear, well-defined research objectives plays a pivotal role in guiding scholars toward their desired outcomes. Research papers are essential instruments for researchers to effectively communicate their work. Among the many sections that constitute a research paper, the introduction plays a key role in providing a background and setting the context. 1 Research objectives, which define the aims of the study, are usually stated in the introduction. Every study has a research question that the authors are trying to answer, and the objective is an active statement about how the study will answer this research question. These objectives help guide the development and design of the study and steer the research in the appropriate direction; if this is not clearly defined, a project can fail!

Research studies have a research question, research hypothesis, and one or more research objectives. A research question is what a study aims to answer, and a research hypothesis is a predictive statement about the relationship between two or more variables, which the study sets out to prove or disprove. Objectives are specific, measurable goals that the study aims to achieve. The difference between these three is illustrated by the following example:

Research question : How does low-intensity pulsed ultrasound (LIPUS) compare with a placebo device in managing the symptoms of skeletally mature patients with patellar tendinopathy?
Research hypothesis : Pain levels are reduced in patients who receive daily active-LIPUS (treatment) for 12 weeks compared with individuals who receive inactive-LIPUS (placebo).
Research objective : To investigate the clinical efficacy of LIPUS in the management of patellar tendinopathy symptoms.

This article discusses the importance of clear, well-thought out objectives and suggests methods to write them clearly.

What is the introduction in research papers?

Research objectives are usually included in the introduction section. This section is the first that the readers will read so it is essential that it conveys the subject matter appropriately and is well written to create a good first impression. A good introduction sets the tone of the paper and clearly outlines the contents so that the readers get a quick snapshot of what to expect.

A good introduction should aim to: 2,3

Indicate the main subject area, its importance, and cite previous literature on the subject
Define the gap(s) in existing research, ask a research question, and state the objectives
Announce the present research and outline its novelty and significance
Avoid repeating the Abstract, providing unnecessary information, and claiming novelty without accurate supporting information.

Why are research objectives important?

Objectives can help you stay focused and steer your research in the required direction. They help define and limit the scope of your research, which is important to efficiently manage your resources and time. The objectives help to create and maintain the overall structure, and specify two main things—the variables and the methods of quantifying the variables.

A good research objective:

defines the scope of the study
gives direction to the research
helps maintain focus and avoid diversions from the topic
minimizes wastage of resources like time, money, and energy

Types of research objectives

Research objectives can be broadly classified into general and specific objectives . 4 General objectives state what the research expects to achieve overall while specific objectives break this down into smaller, logically connected parts, each of which addresses various parts of the research problem. General objectives are the main goals of the study and are usually fewer in number while specific objectives are more in number because they address several aspects of the research problem.

Example (general objective): To investigate the factors influencing the financial performance of firms listed in the New York Stock Exchange market.

Example (specific objective): To assess the influence of firm size on the financial performance of firms listed in the New York Stock Exchange market.

In addition to this broad classification, research objectives can be grouped into several categories depending on the research problem, as given in Table 1.

Table 1: Types of research objectives


Exploratory	Explores a previously unstudied topic, issue, or phenomenon; aims to generate ideas or hypotheses
Descriptive	Describes the characteristics and features of a particular population or group
Explanatory	Explains the relationships between variables; seeks to identify cause-and-effect relationships
Predictive	Predicts future outcomes or events based on existing data samples or trends
Diagnostic	Identifies factors contributing to a particular problem
Comparative	Compares two or more groups or phenomena to identify similarities and differences
Historical	Examines past events and trends to understand their significance and impact
Methodological	Develops and improves research methods and techniques
Theoretical	Tests and refines existing theories or helps develop new theoretical perspectives

Characteristics of research objectives

Research objectives must start with the word “To” because this helps readers identify the objective in the absence of headings and appropriate sectioning in research papers. 5,6

A good objective is SMART (mostly applicable to specific objectives):
Specific—clear about the what, why, when, and how
Measurable—identifies the main variables of the study and quantifies the targets
Achievable—attainable using the available time and resources
Realistic—accurately addresses the scope of the problem
Time-bound—identifies the time in which each step will be completed
Research objectives clarify the purpose of research.
They help understand the relationship and dissimilarities between variables.
They provide a direction that helps the research to reach a definite conclusion.

How to write research objectives?

Research objectives can be written using the following steps: 7

State your main research question clearly and concisely.
Describe the ultimate goal of your study, which is similar to the research question but states the intended outcomes more definitively.
Divide this main goal into subcategories to develop your objectives.
Limit the number of objectives (1-2 general; 3-4 specific)
Assess each objective using the SMART
Start each objective with an action verb like assess, compare, determine, evaluate, etc., which makes the research appear more actionable.
Use specific language without making the sentence data heavy.
The most common section to add the objectives is the introduction and after the problem statement.
Add the objectives to the abstract (if there is one).
State the general objective first, followed by the specific objectives.

Formulating research objectives

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.
Identify the research gaps the current study should cover based on your literature review. These gaps could be theoretical, methodological, or conceptual.
Define the research question(s) based on the gaps identified.
Revise/relate the research problem based on the defined research question and the gaps identified. This is to confirm that there is an actual need for a study on the subject based on the gaps in literature.
Identify and write the general and specific objectives.
Incorporate the objectives into the study.

Advantages of research objectives

Adding clear research objectives has the following advantages: 4,8

Maintains the focus and direction of the research
Optimizes allocation of resources with minimal wastage
Acts as a foundation for defining appropriate research questions and hypotheses
Provides measurable outcomes that can help evaluate the success of the research
Determines the feasibility of the research by helping to assess the availability of required resources
Ensures relevance of the study to the subject and its contribution to existing literature

Disadvantages of research objectives

Research objectives also have few disadvantages, as listed below: 8

Absence of clearly defined objectives can lead to ambiguity in the research process
Unintentional bias could affect the validity and accuracy of the research findings

Key takeaways

Research objectives are concise statements that describe what the research is aiming to achieve.
They define the scope and direction of the research and maintain focus.
The objectives should be SMART—specific, measurable, achievable, realistic, and time-bound.
Clear research objectives help avoid collection of data or resources not required for the study.
Well-formulated specific objectives help develop the overall research methodology, including data collection, analysis, interpretation, and utilization.
Research objectives should cover all aspects of the problem statement in a coherent way.
They should be clearly stated using action verbs.

Frequently asked questions on research objectives

Q: what’s the difference between research objectives and aims 9.

A: Research aims are statements that reflect the broad goal(s) of the study and outline the general direction of the research. They are not specific but clearly define the focus of the study.

Example: This research aims to explore employee experiences of digital transformation in retail HR.

Research objectives focus on the action to be taken to achieve the aims. They make the aims more practical and should be specific and actionable.

Example: To observe the retail HR employees throughout the digital transformation.

Q: What are the examples of research objectives, both general and specific?

A: Here are a few examples of research objectives:

To identify the antiviral chemical constituents in Mumbukura gitoniensis (general)
To carry out solvent extraction of dried flowers of Mumbukura gitoniensis and isolate the constituents. (specific)
To determine the antiviral activity of each of the isolated compounds. (specific)
To examine the extent, range, and method of coral reef rehabilitation projects in five shallow reef areas adjacent to popular tourist destinations in the Philippines.
To investigate species richness of mammal communities in five protected areas over the past 20 years.
To evaluate the potential application of AI techniques for estimating best-corrected visual acuity from fundus photographs with and without ancillary information.
To investigate whether sport influences psychological parameters in the personality of asthmatic children.

Q: How do I develop research objectives?

A: Developing research objectives begins with defining the problem statement clearly, as illustrated by Figure 1. Objectives specify how the research question will be answered and they determine what is to be measured to test the hypothesis.

Q: Are research objectives measurable?

A: The word “measurable” implies that something is quantifiable. In terms of research objectives, this means that the source and method of collecting data are identified and that all these aspects are feasible for the research. Some metrics can be created to measure your progress toward achieving your objectives.

Q: Can research objectives change during the study?

A: Revising research objectives during the study is acceptable in situations when the selected methodology is not progressing toward achieving the objective, or if there are challenges pertaining to resources, etc. One thing to keep in mind is the time and resources you would have to complete your research after revising the objectives. Thus, as long as your problem statement and hypotheses are unchanged, minor revisions to the research objectives are acceptable.

Q: What is the difference between research questions and research objectives? 10


Broad statement; guide the overall direction of the research	Specific, measurable goals that the research aims to achieve
Identify the main problem	Define the specific outcomes the study aims to achieve
Used to generate hypotheses or identify gaps in existing knowledge	Used to establish clear and achievable targets for the research
Not mutually exclusive with research objectives	Should be directly related to the research question
Example:	Example:

Q: Are research objectives the same as hypotheses?

A: No, hypotheses are predictive theories that are expressed in general terms. Research objectives, which are more specific, are developed from hypotheses and aim to test them. A hypothesis can be tested using several methods and each method will have different objectives because the methodology to be used could be different. A hypothesis is developed based on observation and reasoning; it is a calculated prediction about why a particular phenomenon is occurring. To test this prediction, different research objectives are formulated. Here’s a simple example of both a research hypothesis and research objective.

Research hypothesis : Employees who arrive at work earlier are more productive.

Research objective : To assess whether employees who arrive at work earlier are more productive.

To summarize, research objectives are an important part of research studies and should be written clearly to effectively communicate your research. We hope this article has given you a brief insight into the importance of using clearly defined research objectives and how to formulate them.

Farrugia P, Petrisor BA, Farrokhyar F, Bhandari M. Practical tips for surgical research: Research questions, hypotheses and objectives. Can J Surg. 2010 Aug;53(4):278-81.
Abbadia J. How to write an introduction for a research paper. Mind the Graph website. Accessed June 14, 2023. https://mindthegraph.com/blog/how-to-write-an-introduction-for-a-research-paper/
Writing a scientific paper: Introduction. UCI libraries website. Accessed June 15, 2023. https://guides.lib.uci.edu/c.php?g=334338&p=2249903
Research objectives—Types, examples and writing guide. Researchmethod.net website. Accessed June 17, 2023. https://researchmethod.net/research-objectives/#:~:text=They%20provide%20a%20clear%20direction,track%20and%20achieve%20their%20goals .
Bartle P. SMART Characteristics of good objectives. Community empowerment collective website. Accessed June 16, 2023. https://cec.vcn.bc.ca/cmp/modules/pd-smar.htm
Research objectives. Studyprobe website. Accessed June 18, 2023. https://www.studyprobe.in/2022/08/research-objectives.html
Corredor F. How to write objectives in a research paper. wikiHow website. Accessed June 18, 2023. https://www.wikihow.com/Write-Objectives-in-a-Research-Proposal
Research objectives: Definition, types, characteristics, advantages. AccountingNest website. Accessed June 15, 2023. https://www.accountingnest.com/articles/research/research-objectives
Phair D., Shaeffer A. Research aims, objectives & questions. GradCoach website. Accessed June 20, 2023. https://gradcoach.com/research-aims-objectives-questions/
Understanding the difference between research questions and objectives. Accessed June 21, 2023. https://board.researchersjob.com/blog/research-questions-and-objectives

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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.

Aims	Objectives
describes “what” you intend to achieve through your research	focus on “how” you will achieve the aim
usually written in broad terms covering the entire dissertation	are specific statements describing steps through which the research aim will be achieved
is written as a single sentence or a small paragraph	should be written as a numbered list.
focuses on long-term outcomes	focus on short-term and immediate outcomes.

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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.

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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Sounds good, doesn’t it? Be able to call yourself Doctor sooner with our five-star rated How to Write A PhD email-course. Learn everything your supervisor should have taught you about planning and completing a PhD.

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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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Home » Research Objectives – Types, Examples and Writing Guide

Research Objectives – Types, Examples and Writing Guide

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Research Objectives

Research objectives refer to the specific goals or aims of a research study. They provide a clear and concise description of what the researcher hopes to achieve by conducting the research . The objectives are typically based on the research questions and hypotheses formulated at the beginning of the study and are used to guide the research process.

Types of Research Objectives

Here are the different types of research objectives in research:

Exploratory Objectives: These objectives are used to explore a topic, issue, or phenomenon that has not been studied in-depth before. The aim of exploratory research is to gain a better understanding of the subject matter and generate new ideas and hypotheses .
Descriptive Objectives: These objectives aim to describe the characteristics, features, or attributes of a particular population, group, or phenomenon. Descriptive research answers the “what” questions and provides a snapshot of the subject matter.
Explanatory Objectives : These objectives aim to explain the relationships between variables or factors. Explanatory research seeks to identify the cause-and-effect relationships between different phenomena.
Predictive Objectives: These objectives aim to predict future events or outcomes based on existing data or trends. Predictive research uses statistical models to forecast future trends or outcomes.
Evaluative Objectives : These objectives aim to evaluate the effectiveness or impact of a program, intervention, or policy. Evaluative research seeks to assess the outcomes or results of a particular intervention or program.
Prescriptive Objectives: These objectives aim to provide recommendations or solutions to a particular problem or issue. Prescriptive research identifies the best course of action based on the results of the study.
Diagnostic Objectives : These objectives aim to identify the causes or factors contributing to a particular problem or issue. Diagnostic research seeks to uncover the underlying reasons for a particular phenomenon.
Comparative Objectives: These objectives aim to compare two or more groups, populations, or phenomena to identify similarities and differences. Comparative research is used to determine which group or approach is more effective or has better outcomes.
Historical Objectives: These objectives aim to examine past events, trends, or phenomena to gain a better understanding of their significance and impact. Historical research uses archival data, documents, and records to study past events.
Ethnographic Objectives : These objectives aim to understand the culture, beliefs, and practices of a particular group or community. Ethnographic research involves immersive fieldwork and observation to gain an insider’s perspective of the group being studied.
Action-oriented Objectives: These objectives aim to bring about social or organizational change. Action-oriented research seeks to identify practical solutions to social problems and to promote positive change in society.
Conceptual Objectives: These objectives aim to develop new theories, models, or frameworks to explain a particular phenomenon or set of phenomena. Conceptual research seeks to provide a deeper understanding of the subject matter by developing new theoretical perspectives.
Methodological Objectives: These objectives aim to develop and improve research methods and techniques. Methodological research seeks to advance the field of research by improving the validity, reliability, and accuracy of research methods and tools.
Theoretical Objectives : These objectives aim to test and refine existing theories or to develop new theoretical perspectives. Theoretical research seeks to advance the field of knowledge by testing and refining existing theories or by developing new theoretical frameworks.
Measurement Objectives : These objectives aim to develop and validate measurement instruments, such as surveys, questionnaires, and tests. Measurement research seeks to improve the quality and reliability of data collection and analysis by developing and testing new measurement tools.
Design Objectives : These objectives aim to develop and refine research designs, such as experimental, quasi-experimental, and observational designs. Design research seeks to improve the quality and validity of research by developing and testing new research designs.
Sampling Objectives: These objectives aim to develop and refine sampling techniques, such as probability and non-probability sampling methods. Sampling research seeks to improve the representativeness and generalizability of research findings by developing and testing new sampling techniques.

How to Write Research Objectives

Writing clear and concise research objectives is an important part of any research project, as it helps to guide the study and ensure that it is focused and relevant. Here are some steps to follow when writing research objectives:

Identify the research problem : Before you can write research objectives, you need to identify the research problem you are trying to address. This should be a clear and specific problem that can be addressed through research.
Define the research questions : Based on the research problem, define the research questions you want to answer. These questions should be specific and should guide the research process.
Identify the variables : Identify the key variables that you will be studying in your research. These are the factors that you will be measuring, manipulating, or analyzing to answer your research questions.
Write specific objectives: Write specific, measurable objectives that will help you answer your research questions. These objectives should be clear and concise and should indicate what you hope to achieve through your research.
Use the SMART criteria: To ensure that your research objectives are well-defined and achievable, use the SMART criteria. This means that your objectives should be Specific, Measurable, Achievable, Relevant, and Time-bound.
Revise and refine: Once you have written your research objectives, revise and refine them to ensure that they are clear, concise, and achievable. Make sure that they align with your research questions and variables, and that they will help you answer your research problem.

Example of Research Objectives

Examples of research objectives Could be:

Research Objectives for the topic of “The Impact of Artificial Intelligence on Employment”:

To investigate the effects of the adoption of AI on employment trends across various industries and occupations.
To explore the potential for AI to create new job opportunities and transform existing roles in the workforce.
To examine the social and economic implications of the widespread use of AI for employment, including issues such as income inequality and access to education and training.
To identify the skills and competencies that will be required for individuals to thrive in an AI-driven workplace, and to explore the role of education and training in developing these skills.
To evaluate the ethical and legal considerations surrounding the use of AI for employment, including issues such as bias, privacy, and the responsibility of employers and policymakers to protect workers’ rights.

When to Write Research Objectives

At the beginning of a research project : Research objectives should be identified and written down before starting a research project. This helps to ensure that the project is focused and that data collection and analysis efforts are aligned with the intended purpose of the research.
When refining research questions: Writing research objectives can help to clarify and refine research questions. Objectives provide a more concrete and specific framework for addressing research questions, which can improve the overall quality and direction of a research project.
After conducting a literature review : Conducting a literature review can help to identify gaps in knowledge and areas that require further research. Writing research objectives can help to define and focus the research effort in these areas.
When developing a research proposal: Research objectives are an important component of a research proposal. They help to articulate the purpose and scope of the research, and provide a clear and concise summary of the expected outcomes and contributions of the research.
When seeking funding for research: Funding agencies often require a detailed description of research objectives as part of a funding proposal. Writing clear and specific research objectives can help to demonstrate the significance and potential impact of a research project, and increase the chances of securing funding.
When designing a research study : Research objectives guide the design and implementation of a research study. They help to identify the appropriate research methods, sampling strategies, data collection and analysis techniques, and other relevant aspects of the study design.
When communicating research findings: Research objectives provide a clear and concise summary of the main research questions and outcomes. They are often included in research reports and publications, and can help to ensure that the research findings are communicated effectively and accurately to a wide range of audiences.
When evaluating research outcomes : Research objectives provide a basis for evaluating the success of a research project. They help to measure the degree to which research questions have been answered and the extent to which research outcomes have been achieved.
When conducting research in a team : Writing research objectives can facilitate communication and collaboration within a research team. Objectives provide a shared understanding of the research purpose and goals, and can help to ensure that team members are working towards a common objective.

Purpose of Research Objectives

Some of the main purposes of research objectives include:

To clarify the research question or problem : Research objectives help to define the specific aspects of the research question or problem that the study aims to address. This makes it easier to design a study that is focused and relevant.
To guide the research design: Research objectives help to determine the research design, including the research methods, data collection techniques, and sampling strategy. This ensures that the study is structured and efficient.
To measure progress : Research objectives provide a way to measure progress throughout the research process. They help the researcher to evaluate whether they are on track and meeting their goals.
To communicate the research goals : Research objectives provide a clear and concise description of the research goals. This helps to communicate the purpose of the study to other researchers, stakeholders, and the general public.

Advantages of Research Objectives

Here are some advantages of having well-defined research objectives:

Focus : Research objectives help to focus the research effort on specific areas of inquiry. By identifying clear research questions, the researcher can narrow down the scope of the study and avoid getting sidetracked by irrelevant information.
Clarity : Clearly stated research objectives provide a roadmap for the research study. They provide a clear direction for the research, making it easier for the researcher to stay on track and achieve their goals.
Measurability : Well-defined research objectives provide measurable outcomes that can be used to evaluate the success of the research project. This helps to ensure that the research is effective and that the research goals are achieved.
Feasibility : Research objectives help to ensure that the research project is feasible. By clearly defining the research goals, the researcher can identify the resources required to achieve those goals and determine whether those resources are available.
Relevance : Research objectives help to ensure that the research study is relevant and meaningful. By identifying specific research questions, the researcher can ensure that the study addresses important issues and contributes to the existing body of knowledge.

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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

Introduction

State why the problem you address is important

State what is lacking in the current knowledge

State the objectives of your study or the research question

Methods

Describe the context and setting of the study

Specify the study design

Describe the ‘population’ (patients, doctors, hospitals, etc.)

Describe the sampling strategy

Describe the intervention (if applicable)

Identify the main study variables

Describe data collection instruments and procedures

Outline analysis methods

Results

Report on data collection and recruitment (response rates, etc.)

Describe participants (demographic, clinical condition, etc.)

Present key findings with respect to the central research question

Present secondary findings (secondary outcomes, subgroup analyses, etc.)

Discussion

State the main findings of the study

Discuss the main results with reference to previous research

Discuss policy and practice implications of the results

Analyse the strengths and limitations of the study

Offer perspectives for future work

Introduction

State why the problem you address is important

State what is lacking in the current knowledge

State the objectives of your study or the research question

Methods

Describe the context and setting of the study

Specify the study design

Describe the ‘population’ (patients, doctors, hospitals, etc.)

Describe the sampling strategy

Describe the intervention (if applicable)

Identify the main study variables

Describe data collection instruments and procedures

Outline analysis methods

Results

Report on data collection and recruitment (response rates, etc.)

Describe participants (demographic, clinical condition, etc.)

Present key findings with respect to the central research question

Present secondary findings (secondary outcomes, subgroup analyses, etc.)

Discussion

State the main findings of the study

Discuss the main results with reference to previous research

Discuss policy and practice implications of the results

Analyse the strengths and limitations of the study

Offer perspectives for future work

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

The research question is not specified

The stated aim of the paper is tautological (e.g. ‘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 the Results section)

The manuscripts does not follow the journal’s instructions for authors

The paper much exceeds the maximum number of words allowed

The Introduction is an extensive review of the literature

Methods, interventions and instruments are not described in sufficient detail

Results are reported selectively (e.g. percentages without frequencies, -values without measures of effect)

The same results appear both in a table and in the text

Detailed tables are provided for results that do not relate to the main research question

In the Introduction and Discussion, key arguments are not backed up by appropriate references

References are out of date or cannot be accessed by most readers

The Discussion does not provide an answer to the research question

The Discussion overstates the implications of the results and does not acknowledge the limitations of the study

The paper is written in poor English

The research question is not specified

The stated aim of the paper is tautological (e.g. ‘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 the Results section)

The manuscripts does not follow the journal’s instructions for authors

The paper much exceeds the maximum number of words allowed

The Introduction is an extensive review of the literature

Methods, interventions and instruments are not described in sufficient detail

Results are reported selectively (e.g. percentages without frequencies, -values without measures of effect)

The same results appear both in a table and in the text

Detailed tables are provided for results that do not relate to the main research question

In the Introduction and Discussion, key arguments are not backed up by appropriate references

References are out of date or cannot be accessed by most readers

The Discussion does not provide an answer to the research question

The Discussion overstates the implications of the results and does not acknowledge the limitations of the study

The paper is written in poor English

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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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.


Study employee motivation of Coca-Cola	To study the impacts of management practices on the levels of employee motivation at Coca-Cola US by December 5, 2022
Analyze consumer behaviour in catering industry	Analyzing changes in consumer behaviour in catering industry in the 21 century in the UK by March 1, 2022
Recommend Toyota Motor Corporation management on new market entry strategy	Formulating recommendations to Toyota Motor Corporation management on the choice of appropriate strategy to enter Vietnam market by June 9, 2022
Analyze the impact of social media marketing on business	Assessing impacts of integration of social media into marketing strategy on the level of brand awareness by March 30, 2022
Finding out about time management principles used by Accenture managers	Identifying main time-management strategies used by managers of Accenture France by December 1, 2022

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.

John Dudovskiy

21 Research Objectives Examples (Copy and Paste)

Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

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research aim and research objectives, explained below

Research objectives refer to the definitive statements made by researchers at the beginning of a research project detailing exactly what a research project aims to achieve.

These objectives are explicit goals clearly and concisely projected by the researcher to present a clear intention or course of action for his or her qualitative or quantitative study.

Research objectives are typically nested under one overarching research aim. The objectives are the steps you’ll need to take in order to achieve the aim (see the examples below, for example, which demonstrate an aim followed by 3 objectives, which is what I recommend to my research students).

Research Objectives vs Research Aims

Research aim and research objectives are fundamental constituents of any study, fitting together like two pieces of the same puzzle.

The ‘research aim’ describes the overarching goal or purpose of the study (Kumar, 2019). This is usually a broad, high-level purpose statement, summing up the central question that the research intends to answer.

Example of an Overarching Research Aim:

“The aim of this study is to explore the impact of climate change on crop productivity.”

Comparatively, ‘research objectives’ are concrete goals that underpin the research aim, providing stepwise actions to achieve the aim.

Objectives break the primary aim into manageable, focused pieces, and are usually characterized as being more specific, measurable, achievable, relevant, and time-bound (SMART).

Examples of Specific Research Objectives:

1. “To examine the effects of rising temperatures on the yield of rice crops during the upcoming growth season.” 2. “To assess changes in rainfall patterns in major agricultural regions over the first decade of the twenty-first century (2000-2010).” 3. “To analyze the impact of changing weather patterns on crop diseases within the same timeframe.”

The distinction between these two terms, though subtle, is significant for successfully conducting a study. The research aim provides the study with direction, while the research objectives set the path to achieving this aim, thereby ensuring the study’s efficiency and effectiveness.

How to Write Research Objectives

I usually recommend to my students that they use the SMART framework to create their research objectives.

SMART is an acronym standing for Specific, Measurable, Achievable, Relevant, and Time-bound. It provides a clear method of defining solid research objectives and helps students know where to start in writing their objectives (Locke & Latham, 2013).

Each element of this acronym adds a distinct dimension to the framework, aiding in the creation of comprehensive, well-delineated objectives.

Here is each step:

Specific : We need to avoid ambiguity in our objectives. They need to be clear and precise (Doran, 1981). For instance, rather than stating the objective as “to study the effects of social media,” a more focused detail would be “to examine the effects of social media use (Facebook, Instagram, and Twitter) on the academic performance of college students.”
Measurable: The measurable attribute provides a clear criterion to determine if the objective has been met (Locke & Latham, 2013). A quantifiable element, such as a percentage or a number, adds a measurable quality. For example, “to increase response rate to the annual customer survey by 10%,” makes it easier to ascertain achievement.
Achievable: The achievable aspect encourages researchers to craft realistic objectives, resembling a self-check mechanism to ensure the objectives align with the scope and resources at disposal (Doran, 1981). For example, “to interview 25 participants selected randomly from a population of 100” is an attainable objective as long as the researcher has access to these participants.
Relevance : Relevance, the fourth element, compels the researcher to tailor the objectives in alignment with overarching goals of the study (Locke & Latham, 2013). This is extremely important – each objective must help you meet your overall one-sentence ‘aim’ in your study.
Time-Bound: Lastly, the time-bound element fosters a sense of urgency and prioritization, preventing procrastination and enhancing productivity (Doran, 1981). “To analyze the effect of laptop use in lectures on student engagement over the course of two semesters this year” expresses a clear deadline, thus serving as a motivator for timely completion.

You’re not expected to fit every single element of the SMART framework in one objective, but across your objectives, try to touch on each of the five components.

Research Objectives Examples

1. Field: Psychology

Aim: To explore the impact of sleep deprivation on cognitive performance in college students.

Objective 1: To compare cognitive test scores of students with less than six hours of sleep and those with 8 or more hours of sleep.
Objective 2: To investigate the relationship between class grades and reported sleep duration.
Objective 3: To survey student perceptions and experiences on how sleep deprivation affects their cognitive capabilities.

2. Field: Environmental Science

Aim: To understand the effects of urban green spaces on human well-being in a metropolitan city.

Objective 1: To assess the physical and mental health benefits of regular exposure to urban green spaces.
Objective 2: To evaluate the social impacts of urban green spaces on community interactions.
Objective 3: To examine patterns of use for different types of urban green spaces.

3. Field: Technology

Aim: To investigate the influence of using social media on productivity in the workplace.

Objective 1: To measure the amount of time spent on social media during work hours.
Objective 2: To evaluate the perceived impact of social media use on task completion and work efficiency.
Objective 3: To explore whether company policies on social media usage correlate with different patterns of productivity.

4. Field: Education

Aim: To examine the effectiveness of online vs traditional face-to-face learning on student engagement and achievement.

Objective 1: To compare student grades between the groups exposed to online and traditional face-to-face learning.
Objective 2: To assess student engagement levels in both learning environments.
Objective 3: To collate student perceptions and preferences regarding both learning methods.

5. Field: Health

Aim: To determine the impact of a Mediterranean diet on cardiac health among adults over 50.

Objective 1: To assess changes in cardiovascular health metrics after following a Mediterranean diet for six months.
Objective 2: To compare these health metrics with a similar group who follow their regular diet.
Objective 3: To document participants’ experiences and adherence to the Mediterranean diet.

6. Field: Environmental Science

Aim: To analyze the impact of urban farming on community sustainability.

Objective 1: To document the types and quantity of food produced through urban farming initiatives.
Objective 2: To assess the effect of urban farming on local communities’ access to fresh produce.
Objective 3: To examine the social dynamics and cooperative relationships in the creating and maintaining of urban farms.

7. Field: Sociology

Aim: To investigate the influence of home offices on work-life balance during remote work.

Objective 1: To survey remote workers on their perceptions of work-life balance since setting up home offices.
Objective 2: To conduct an observational study of daily work routines and family interactions in a home office setting.
Objective 3: To assess the correlation, if any, between physical boundaries of workspaces and mental boundaries for work in the home setting.

8. Field: Economics

Aim: To evaluate the effects of minimum wage increases on small businesses.

Objective 1: To analyze cost structures, pricing changes, and profitability of small businesses before and after minimum wage increases.
Objective 2: To survey small business owners on the strategies they employ to navigate minimum wage increases.
Objective 3: To examine employment trends in small businesses in response to wage increase legislation.

9. Field: Education

Aim: To explore the role of extracurricular activities in promoting soft skills among high school students.

Objective 1: To assess the variety of soft skills developed through different types of extracurricular activities.
Objective 2: To compare self-reported soft skills between students who participate in extracurricular activities and those who do not.
Objective 3: To investigate the teachers’ perspectives on the contribution of extracurricular activities to students’ skill development.

10. Field: Technology

Aim: To assess the impact of virtual reality (VR) technology on the tourism industry.

Objective 1: To document the types and popularity of VR experiences available in the tourism market.
Objective 2: To survey tourists on their interest levels and satisfaction rates with VR tourism experiences.
Objective 3: To determine whether VR tourism experiences correlate with increased interest in real-life travel to the simulated destinations.

11. Field: Biochemistry

Aim: To examine the role of antioxidants in preventing cellular damage.

Objective 1: To identify the types and quantities of antioxidants in common fruits and vegetables.
Objective 2: To determine the effects of various antioxidants on free radical neutralization in controlled lab tests.
Objective 3: To investigate potential beneficial impacts of antioxidant-rich diets on long-term cellular health.

12. Field: Linguistics

Aim: To determine the influence of early exposure to multiple languages on cognitive development in children.

Objective 1: To assess cognitive development milestones in monolingual and multilingual children.
Objective 2: To document the number and intensity of language exposures for each group in the study.
Objective 3: To investigate the specific cognitive advantages, if any, enjoyed by multilingual children.

13. Field: Art History

Aim: To explore the impact of the Renaissance period on modern-day art trends.

Objective 1: To identify key characteristics and styles of Renaissance art.
Objective 2: To analyze modern art pieces for the influence of the Renaissance style.
Objective 3: To survey modern-day artists for their inspirations and the influence of historical art movements on their work.

14. Field: Cybersecurity

Aim: To assess the effectiveness of two-factor authentication (2FA) in preventing unauthorized system access.

Objective 1: To measure the frequency of unauthorized access attempts before and after the introduction of 2FA.
Objective 2: To survey users about their experiences and challenges with 2FA implementation.
Objective 3: To evaluate the efficacy of different types of 2FA (SMS-based, authenticator apps, biometrics, etc.).

15. Field: Cultural Studies

Aim: To analyze the role of music in cultural identity formation among ethnic minorities.

Objective 1: To document the types and frequency of traditional music practices within selected ethnic minority communities.
Objective 2: To survey community members on the role of music in their personal and communal identity.
Objective 3: To explore the resilience and transmission of traditional music practices in contemporary society.

16. Field: Astronomy

Aim: To explore the impact of solar activity on satellite communication.

Objective 1: To categorize different types of solar activities and their frequencies of occurrence.
Objective 2: To ascertain how variations in solar activity may influence satellite communication.
Objective 3: To investigate preventative and damage-control measures currently in place during periods of high solar activity.

17. Field: Literature

Aim: To examine narrative techniques in contemporary graphic novels.

Objective 1: To identify a range of narrative techniques employed in this genre.
Objective 2: To analyze the ways in which these narrative techniques engage readers and affect story interpretation.
Objective 3: To compare narrative techniques in graphic novels to those found in traditional printed novels.

18. Field: Renewable Energy

Aim: To investigate the feasibility of solar energy as a primary renewable resource within urban areas.

Objective 1: To quantify the average sunlight hours across urban areas in different climatic zones.
Objective 2: To calculate the potential solar energy that could be harnessed within these areas.
Objective 3: To identify barriers or challenges to widespread solar energy implementation in urban settings and potential solutions.

19. Field: Sports Science

Aim: To evaluate the role of pre-game rituals in athlete performance.

Objective 1: To identify the variety and frequency of pre-game rituals among professional athletes in several sports.
Objective 2: To measure the impact of pre-game rituals on individual athletes’ performance metrics.
Objective 3: To examine the psychological mechanisms that might explain the effects (if any) of pre-game ritual on performance.

20. Field: Ecology

Aim: To investigate the effects of urban noise pollution on bird populations.

Objective 1: To record and quantify urban noise levels in various bird habitats.
Objective 2: To measure bird population densities in relation to noise levels.
Objective 3: To determine any changes in bird behavior or vocalization linked to noise levels.

21. Field: Food Science

Aim: To examine the influence of cooking methods on the nutritional value of vegetables.

Objective 1: To identify the nutrient content of various vegetables both raw and after different cooking processes.
Objective 2: To compare the effect of various cooking methods on the nutrient retention of these vegetables.
Objective 3: To propose cooking strategies that optimize nutrient retention.

The Importance of Research Objectives

The importance of research objectives cannot be overstated. In essence, these guideposts articulate what the researcher aims to discover, understand, or examine (Kothari, 2014).

When drafting research objectives, it’s essential to make them simple and comprehensible, specific to the point of being quantifiable where possible, achievable in a practical sense, relevant to the chosen research question, and time-constrained to ensure efficient progress (Kumar, 2019).

Remember that a good research objective is integral to the success of your project, offering a clear path forward for setting out a research design , and serving as the bedrock of your study plan. Each objective must distinctly address a different dimension of your research question or problem (Kothari, 2014). Always bear in mind that the ultimate purpose of your research objectives is to succinctly encapsulate your aims in the clearest way possible, facilitating a coherent, comprehensive and rational approach to your planned study, and furnishing a scientific roadmap for your journey into the depths of knowledge and research (Kumar, 2019).

Kothari, C.R (2014). Research Methodology: Methods and Techniques . New Delhi: New Age International.

Kumar, R. (2019). Research Methodology: A Step-by-Step Guide for Beginners .New York: SAGE Publications.

Doran, G. T. (1981). There’s a S.M.A.R.T. way to write management’s goals and objectives. Management review, 70 (11), 35-36.

Locke, E. A., & Latham, G. P. (2013). New Developments in Goal Setting and Task Performance . New York: Routledge.

Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 119 Bloom’s Taxonomy Examples
Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ All 6 Levels of Understanding (on Bloom’s Taxonomy)
Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 15 Self-Actualization Examples (Maslow's Hierarchy)
Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ Forest Schools Philosophy & Curriculum, Explained!

Thesis and Purpose Statements

Use the guidelines below to learn the differences between thesis and purpose statements.

In the first stages of writing, thesis or purpose statements are usually rough or ill-formed and are useful primarily as planning tools.

A thesis statement or purpose statement will emerge as you think and write about a topic. The statement can be restricted or clarified and eventually worked into an introduction.

As you revise your paper, try to phrase your thesis or purpose statement in a precise way so that it matches the content and organization of your paper.

Thesis statements

A thesis statement is a sentence that makes an assertion about a topic and predicts how the topic will be developed. It does not simply announce a topic: it says something about the topic.

Good: X has made a significant impact on the teenage population due to its . . . Bad: In this paper, I will discuss X.

A thesis statement makes a promise to the reader about the scope, purpose, and direction of the paper. It summarizes the conclusions that the writer has reached about the topic.

A thesis statement is generally located near the end of the introduction. Sometimes in a long paper, the thesis will be expressed in several sentences or an entire paragraph.

A thesis statement is focused and specific enough to be proven within the boundaries of the paper. Key words (nouns and verbs) should be specific, accurate, and indicative of the range of research, thrust of the argument or analysis, and the organization of supporting information.

Purpose statements

A purpose statement announces the purpose, scope, and direction of the paper. It tells the reader what to expect in a paper and what the specific focus will be.

Common beginnings include:

“This paper examines . . .,” “The aim of this paper is to . . .,” and “The purpose of this essay is to . . .”

A purpose statement makes a promise to the reader about the development of the argument but does not preview the particular conclusions that the writer has drawn.

A purpose statement usually appears toward the end of the introduction. The purpose statement may be expressed in several sentences or even an entire paragraph.

A purpose statement is specific enough to satisfy the requirements of the assignment. Purpose statements are common in research papers in some academic disciplines, while in other disciplines they are considered too blunt or direct. If you are unsure about using a purpose statement, ask your instructor.

This paper will examine the ecological destruction of the Sahel preceding the drought and the causes of this disintegration of the land. The focus will be on the economic, political, and social relationships which brought about the environmental problems in the Sahel.

Sample purpose and thesis statements

The following example combines a purpose statement and a thesis statement (bold).

The goal of this paper is to examine the effects of Chile’s agrarian reform on the lives of rural peasants. The nature of the topic dictates the use of both a chronological and a comparative analysis of peasant lives at various points during the reform period. . . The Chilean reform example provides evidence that land distribution is an essential component of both the improvement of peasant conditions and the development of a democratic society. More extensive and enduring reforms would likely have allowed Chile the opportunity to further expand these horizons.

For more tips about writing thesis statements, take a look at our new handout on Developing a Thesis Statement.

Writing Process and Structure

This is an accordion element with a series of buttons that open and close related content panels.

Getting Started with Your Paper

Interpreting Writing Assignments from Your Courses

Generating Ideas for Your Paper

Creating an Argument

Thesis vs. Purpose Statements

Developing a Thesis Statement

Architecture of Arguments

Working with Sources

Quoting and Paraphrasing Sources

Using Literary Quotations

Citing Sources in Your Paper

Drafting Your Paper

Introductions

Paragraphing

Developing Strategic Transitions

Conclusions

Revising Your Paper

Peer Reviews

Reverse Outlines

Revising an Argumentative Paper

Revision Strategies for Longer Projects

Finishing Your Paper

Twelve Common Errors: An Editing Checklist

How to Proofread your Paper

Writing Collaboratively

Collaborative and Group Writing

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Knowledge Base
Starting the research process
Writing Strong Research Questions | Criteria & Examples

Writing Strong Research Questions | Criteria & Examples

Published on October 26, 2022 by Shona McCombes . Revised on November 21, 2023.

A research question pinpoints exactly what you want to find out in your work. A good research question is essential to guide your research paper , dissertation , or thesis .

All research questions should be:

Focused on a single problem or issue
Researchable using primary and/or secondary sources
Feasible to answer within the timeframe and practical constraints
Specific enough to answer thoroughly
Complex enough to develop the answer over the space of a paper or thesis
Relevant to your field of study and/or society more broadly

How to write a research question, what makes a strong research question, using sub-questions to strengthen your main research question, research questions quiz, other interesting articles, frequently asked questions about research questions.

You can follow these steps to develop a strong research question:

Choose your topic
Do some preliminary reading about the current state of the field
Narrow your focus to a specific niche
Identify the research problem that you will address

The way you frame your question depends on what your research aims to achieve. The table below shows some examples of how you might formulate questions for different purposes.

	Research question formulations
Describing and exploring
Explaining and testing
Evaluating and acting	is X

Using your research problem to develop your research question

Example research problem	Example research question(s)
Teachers at the school do not have the skills to recognize or properly guide gifted children in the classroom.	What practical techniques can teachers use to better identify and guide gifted children?
Young people increasingly engage in the “gig economy,” rather than traditional full-time employment. However, it is unclear why they choose to do so.	What are the main factors influencing young people’s decisions to engage in the gig economy?

Note that while most research questions can be answered with various types of research , the way you frame your question should help determine your choices.

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Research questions anchor your whole project, so it’s important to spend some time refining them. The criteria below can help you evaluate the strength of your research question.

Focused and researchable

Criteria	Explanation
Focused on a single topic	Your central research question should work together with your research problem to keep your work focused. If you have multiple questions, they should all clearly tie back to your central aim.
Answerable using	Your question must be answerable using and/or , or by reading scholarly sources on the to develop your argument. If such data is impossible to access, you likely need to rethink your question.
Not based on value judgements	Avoid subjective words like , , and . These do not give clear criteria for answering the question.

Feasible and specific

Criteria	Explanation
Answerable within practical constraints	Make sure you have enough time and resources to do all research required to answer your question. If it seems you will not be able to gain access to the data you need, consider narrowing down your question to be more specific.
Uses specific, well-defined concepts	All the terms you use in the research question should have clear meanings. Avoid vague language, jargon, and too-broad ideas.
Does not demand a conclusive solution, policy, or course of action	Research is about informing, not instructing. Even if your project is focused on a practical problem, it should aim to improve understanding rather than demand a ready-made solution. If ready-made solutions are necessary, consider conducting instead. Action research is a research method that aims to simultaneously investigate an issue as it is solved. In other words, as its name suggests, action research conducts research and takes action at the same time.

Criteria

Explanation

Answerable within practical constraints

Make sure you have enough time and resources to do all research required to answer your question. If it seems you will not be able to gain access to the data you need, consider narrowing down your question to be more specific.

Uses specific, well-defined concepts

All the terms you use in the research question should have clear meanings. Avoid vague language, jargon, and too-broad ideas.

Does not demand a conclusive solution, policy, or course of action

Research is about informing, not instructing. Even if your project is focused on a practical problem, it should aim to improve understanding rather than demand a ready-made solution.

If ready-made solutions are necessary, consider conducting instead. Action research is a research method that aims to simultaneously investigate an issue as it is solved. In other words, as its name suggests, action research conducts research and takes action at the same time.

Complex and arguable

Criteria	Explanation
Cannot be answered with or	Closed-ended, / questions are too simple to work as good research questions—they don’t provide enough for robust investigation and discussion.
Cannot be answered with easily-found facts	If you can answer the question through a single Google search, book, or article, it is probably not complex enough. A good research question requires original data, synthesis of multiple sources, and original interpretation and argumentation prior to providing an answer.

Relevant and original

Criteria	Explanation
Addresses a relevant problem	Your research question should be developed based on initial reading around your . It should focus on addressing a problem or gap in the existing knowledge in your field or discipline.
Contributes to a timely social or academic debate	The question should aim to contribute to an existing and current debate in your field or in society at large. It should produce knowledge that future researchers or practitioners can later build on.
Has not already been answered	You don’t have to ask something that nobody has ever thought of before, but your question should have some aspect of originality. For example, you can focus on a specific location, or explore a new angle.

Chances are that your main research question likely can’t be answered all at once. That’s why sub-questions are important: they allow you to answer your main question in a step-by-step manner.

Good sub-questions should be:

Less complex than the main question
Focused only on 1 type of research
Presented in a logical order

Here are a few examples of descriptive and framing questions:

Descriptive: According to current government arguments, how should a European bank tax be implemented?
Descriptive: Which countries have a bank tax/levy on financial transactions?
Framing: How should a bank tax/levy on financial transactions look at a European level?

Keep in mind that sub-questions are by no means mandatory. They should only be asked if you need the findings to answer your main question. If your main question is simple enough to stand on its own, it’s okay to skip the sub-question part. As a rule of thumb, the more complex your subject, the more sub-questions you’ll need.

Try to limit yourself to 4 or 5 sub-questions, maximum. If you feel you need more than this, it may be indication that your main research question is not sufficiently specific. In this case, it’s is better to revisit your problem statement and try to tighten your main question up.

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.

Methodology

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

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis —a prediction that will be confirmed or disproved by your research.

As you cannot possibly read every source related to your topic, it’s important to evaluate sources to assess their relevance. Use preliminary evaluation to determine whether a source is worth examining in more depth.

This involves:

Reading abstracts , prefaces, introductions , and conclusions
Looking at the table of contents to determine the scope of the work
Consulting the index for key terms or the names of important scholars

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

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

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

Researchability
Feasibility and specificity
Relevance and originality

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Question development Previous Next

Setting a research question, aim and objective, owen doody lecturer, department of nursing and midwifery, university of limerick, limerick, republic of ireland, maria e bailey lecturer, department of nursing and midwifery, university of limerick, republic of ireland.

Aim To describe the development of a research question, aim and objective.

Background The first steps of any study are developing the research question, aim and objective. Subsequent steps develop from these and they govern the researchers’ choice of population, setting, data to be collected and time period for the study. Clear, succinctly posed research questions, aims and objectives are essential if studies are to be successful.

Discussion Researchers developing their research questions, aims and objectives generally experience difficulties. They are often overwhelmed trying to convert what they see as a relevant issue from practice into research. This necessitates engaging with the relevant published literature and knowledgeable people.

Conclusion This paper identifies the issues to be considered when developing a research question, aim and objective. Understanding these considerations will enable researchers to effectively present their research question, aim and objective.

Implications for practice To conduct successful studies, researchers should develop clear research questions, aims and objectives.

Nurse Researcher . 23, 4, 19-23. doi: 10.7748/nr.23.4.19.s5

[email protected]

This article has been subject to double-blind review and has been checked using antiplagiarism software

None declared

Received: 04 November 2014

Accepted: 27 May 2015

research question - research aim - research objective - study development - nursing research - novice researchers

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The importance of crafting a good introduction to scholarly research: strategies for creating an effective and impactful opening statement

Mohsen tavakol.

1 Medical Education Centre, School of Medicine, The University of Nottingham, UK

David O'Brien

Introduction.

The introduction section is arguably one of the most critical elements of a written piece of research work, often setting the tone for the remainder of any dissertation or research article. The primary purpose of an introduction is to provide the reader with a clear understanding of the research question, in addition to the scope, rationale, aims and objectives of the study. This ensures the reader can more easily comprehend the context of the research, which will consequently help them better interpret and evaluate the study results. One could liken an introduction to a trailer for a movie, where the plot of the film (the research topic) is introduced by setting the scene (outlining the significance of the topic) and enticing you to watch the full movie (understanding the research and its importance).

Despite this, our experience suggests that students frequently pay insufficient attention to the introduction section of their dissertation or omit elements which we consider essential to address. This editorial aims to help researchers appreciate the importance of a comprehensive dissertation introduction in medical education research and learn how to effectively manage this key section of their work. Although it focuses purely on the introduction section of a written research submission, readers interested in learning more about the other primary steps of the research process are encouraged to read AMEE Guide No. 90 1 , 2 textbooks on research methods and both consult and seek constructive feedback from colleagues with expertise in research methods and writing for publication.

Here we aim to provide the reader with a simple structure of how best to construct the introduction for a dissertation and recommend that this should typically include the following essential components and principles.

Background to the research topic

The purpose of providing background information in an introduction is to supply the context and other essential information concerning the research topic, and thus allow the reader to understand the significance of the specific research question and where it sits within the broader field of study. This aids the reader to better understand how the research question contributes to the existing body of knowledge and why it is, necessary to investigate this specific aspect further. For example, suppose the study concerns the effectiveness of simulation-based training in medical education. In this case, the broader field of the study may include relevant areas such as medical simulation, medical education research, health care education, standardised patients, simulation-based training, and curriculum development based on simulation training. After providing the reader with an understanding of the context and relevance of the topic of interest, the researcher must then establish a theoretical or conceptual framework. This underpins the study topic in order that the reader can understand how any research questions and objectives are formulated. It is important to distinguish between these two frameworks. A theoretical framework describes the rationale for applying a particular theory to provide support and structure for the topic being studied. In the absence of an applicable theory, a conceptual framework substantiates the significance of a particular problem, context or phenomenon within a specific area of the study by illustrating its relevance and connection to research topic. 3 A conceptual framework highlights the importance of a research topic by showing how it relates to the larger body of knowledge in a particular field. Here is an example to demonstrate the use of a theoretical framework in a research context.

When considering Social Cognitive Theory (SCT), one of the key constructs is self-efficacy, as described by Albert Bandura, 4 and refers to the belief that a person has it within their own ability to accomplish a specific task successfully. This is not related to what a person does, but more how they perceive their ability to use these skills. So, based on this construct of self-efficacy, a researcher may formulate a research hypothesis; that examiners with higher self-efficacy in OSCEs will demonstrate improved performance in subsequent exams compared to those with lower self-efficacy. Now the researcher is in a position to identify the fundamental concepts of the research, i.e., self-efficacy (personal factors), examiner performance (behavioural factors) and examination conditions and examiner scaffolding support (environmental factors). Identifying key concepts helps the researcher find the relationship between these, and develop appropriate research questions, e.g., 1) How does an examiner's self-efficacy in OSCEs affect their ability to assess students in subsequent exams? 2) How does the support provided to examiners and exam conditions influence the link between self-efficacy and examiner performance in OSCEs? 3) Do examiners with high self-efficacy provide fairer scores than those with low self-efficacy in OSCEs? By having a theoretical framework, researchers can establish a foundation for their research and provide a clear picture of the relationship between the key concepts involved in the study. Researchers must also provide any conceptual and operational definitions for key concepts or variables that will be used in the study. Clearly defining key concepts and variables in the background section of a dissertation can also help establish the significance of the research question and its relevance to the broader field of study. As the name implies, a conceptual definition refers to a variable's meaning in a conceptual, abstract, or theoretical sense. Conceptual definitions are often used to describe concepts which cannot be directly measured, such as active learning, rote learning, inter-professional learning, inter-professional education, or constructs such as clinical performance. Conversely, operational definitions define the steps researchers must take in order to collect data to measure a phenomenon or concept. 5 For example, clinical performance can be considered a conceptual construct but may also be defined operationally as the ability of students to pass 12 out of 16 stations of an OSCE. The researcher having already pre-specified specific the criteria for classifying students as pass/fail in order to determine the ability of students to perform clinically. This operational definition provides a clear method for evaluating and measuring student ability, which can then be used to give feedback and guide further learning or to establish clear expectations for students and provide a basis for evaluating and assessing their performance. In general, it can be beneficial for medical education programs to define aspects such as clinical performance operationally in this way in rather than conceptually, especially if there is a need to ensure that students meet a required standard of competence and are prepared for the demands of real-world clinical practice. These definitions can also then be used to establish the methods and criteria by which the variables of the study will subsequently be measured or altered.

Citing the existing literature to support the research aim

A literature review is the process of critically evaluating existing research and utilising it to inform and guide the research proposal under investigation. Taking this approach enables researchers to ensure that their research is not only grounded in, but also contributes meaningfully to, any existing knowledge as a whole. Critically reviewing the literature provides evidence and justification for any research and is essential when formulating a hypothesis, question, or study objectives. In addition, and perhaps most importantly, it helps identify any gaps or inconsistencies in the existing knowledge base. Determining the knowledge gap is critical in justifying the necessity for our research and advancing knowledge. A comprehensive literature review also helps establish the theoretical or conceptual frameworks to ground any subsequent research, providing researchers with guidance and direction on how best to conduct their future studies. Understanding from the literature what has worked previously and what may pose challenges or limitations assists researchers when exploring the best methods and techniques for answering new research questions. To clarify, consider a hypothetical study in which researchers wish to examine the effectiveness of a specific educational intervention in medical students to improve patient safety. Based on the existing literature, let's assume that researchers learned that most studies had only focused on short-term outcomes rather than long-term ones. The long-term effects of any intervention in medical students on patient safety therefore remain uncertain. Researchers may therefore wish to consider conducting longitudinal studies months after interventions have been carried out, rather than simply repeating research based on short-term outcomes, in order to address the current knowledge gap. A review of existing literature may highlight hitherto previously unconsidered logistical difficulties in conducting longitudinal studies in this area that the researcher may need to be aware of.

Stating the significance of the research

More than simply reporting the existing research, one of the key objectives in any literature review is to summarise and synthesise existing research on the intended topic in order to analyse the significance of the research in question. In this process, diverse ideas can be merged to form fresh new perspectives. Any gaps, limitations, or controversies in medical education can be identified, and potential future benefits and implications of the proposed research explained to the reader. Based on any potential impact or perceived importance, the introduction provides an excellent opportunity for the researcher to affirm the significance of the research study and why it should be conducted.

By way of an example, the significance of a study concerning feedback given to examiners for Objective Structured Clinical Examinations (OSCEs) is used to illustrate this point further. The potential significance of this research lies in improving the validity and reliability of OSCE scores in medical education. As a result of reviewing different types of feedback given to examiners, the research may assist in identifying the most effective strategies for improving the quality of OSCEs in medical education. By providing new insights into how feedback can improve the reliability and validity of OSCE results, the research could also contribute to the broader knowledge of assessment in general. This may result in the development of more accurate and robust medical education assessments, which in turn may potentially enhance delivery of healthcare and improve patient outcomes and safety. It may also address the current challenges and gaps in medical education assessment by providing evidence-based approaches for improving OSCE quality.

Formulating Research Questions and Objectives

Researchers formulate research questions and objectives based on the topic they are seeking to address. As noted previously, these will have already been derived as a result of a comprehensive literature review of any existing knowledge and based on a theoretical or conceptual framework. Furthermore, in medical education, the literature review provides researchers with the opportunity to formulate new research questions or research objectives to address any gaps or limitations in the existing literature and add something new to the current body of knowledge. Research questions and objectives should be stated clearly, being both specific, and measurable. These should then guide the subsequent selection of appropriate research methods, data collection and any subsequent analytical process. Clear, focused, and rigorous research questions and objectives will ensure the study is well-designed and make a valuable contribution to the existing body of knowledge.

Qualitative research questions should be open-ended and exploratory rather than focused on a specific hypothesis or proposition. It is common for qualitative studies to focus on understanding how and why certain phenomena occur, rather than simply describing what has occurred. These should be formulated to elicit rich, detailed, and context-specific data that can provide insights into the experiences, perspectives, and meanings of the participants. In contrast, quantitative research questions are more specific and are designed to test a particular hypothesis or relationship. In medical education, it is imperative to emphasise the importance of both qualitative and quantitative research questions when it comes to generating new knowledge. Combining both quantitative and qualitative research methods (mixed methods) can be particularly powerful in providing a more comprehensive understanding of any phenomena under study. Assume again that we are examining the effectiveness of feedback on the performance of medical students and adopt a mixed-methods approach using a combination of qualitative and quantitative research methods. A quantitative research question may be, what is the impact of feedback on the performance of medical students as measured by OSCE mark? How the experience of receiving feedback on performance contributes to the future professional development of medical students is a more qualitative research question. This combination of quantitative and qualitative research questions will provide an in depth understanding of the effectiveness of feedback on medical student performance. It is important to note that in qualitative research methods particularly, there can be a wide variety of research question types. For example, grounded theory researchers may ask so-called "process questions", such as 'how do students interpret and use the feedback they are given?' Phenomenologists, on the other hand, are concerned with lived experience of research subjects and frequently ask questions looking to understand the "meaning" of any such experience, often aiming to attribute feelings to this experience, for example, ‘how do students feel when they receive feedback?’ Ethnographers look to understand how culture contributes to an experience, and may ask more "descriptive questions" 5 for example, ‘how does the culture within a specific medical school affect students receiving feedback on their performance?’

For ease of reference, the key points we recommended are considered in any dissertation introduction are summarised below:

1. Set the context for the research

2. Establish a theoretical or conceptual framework to support your study

3. Define key variables both conceptually and theoretically

4. Critically appraise relevant papers during the literature review

5. Review previous studies to identify and define the knowledge gap by assessing what has already been studied and what areas remain unexplored

6. Clearly articulate the rationale behind your study, emphasising its importance in the intended field

7. Clearly define your research objectives, questions, and hypotheses

Conclusions

Whilst crafting a research introduction may seem a challenging and time-consuming task, it is well worth the effort to convey your research clearly and engage potential readers. Providing sufficient background information on the research topic, conducting a comprehensive review of the existing research, determining the knowledge gap, understanding any limitations or controversies in the topic of interest, before then exploring any theoretical or conceptual frameworks to develop the research concepts, research questions and methodology are fundamental steps. Articulating any conceptual and operational definitions of key concepts and clearly defining any key terms, including explanations of how these will be used in the study is also paramount to a good introduction. It is essential to clearly present the rationale behind the research and why this is significant, clarifying what it adds to the existing body of knowledge in medical education and exploring any potential future implications. Lastly, it is vital to ensure that any research questions are clearly stated and are open-ended and exploratory in the case of qualitative studies, or specific and measurable in the case of quantitative studies.

We feel that observing these basic principles and adhering to these few simple steps will hopefully set the stage for a highly successful piece of research and will certainly go some way to achieving a favourable editorial outcome for possible subsequent publication of the work.

Conflict of Interest

The authors declare that they have no conflict of interest.

Suggestions or feedback?

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A technique for more effective multipurpose robots

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Let’s say you want to train a robot so it understands how to use tools and can then quickly learn to make repairs around your house with a hammer, wrench, and screwdriver. To do that, you would need an enormous amount of data demonstrating tool use.

Existing robotic datasets vary widely in modality — some include color images while others are composed of tactile imprints, for instance. Data could also be collected in different domains, like simulation or human demos. And each dataset may capture a unique task and environment.

It is difficult to efficiently incorporate data from so many sources in one machine-learning model, so many methods use just one type of data to train a robot. But robots trained this way, with a relatively small amount of task-specific data, are often unable to perform new tasks in unfamiliar environments.

In an effort to train better multipurpose robots, MIT researchers developed a technique to combine multiple sources of data across domains, modalities, and tasks using a type of generative AI known as diffusion models.

They train a separate diffusion model to learn a strategy, or policy, for completing one task using one specific dataset. Then they combine the policies learned by the diffusion models into a general policy that enables a robot to perform multiple tasks in various settings.

In simulations and real-world experiments, this training approach enabled a robot to perform multiple tool-use tasks and adapt to new tasks it did not see during training. The method, known as Policy Composition (PoCo), led to a 20 percent improvement in task performance when compared to baseline techniques.

“Addressing heterogeneity in robotic datasets is like a chicken-egg problem. If we want to use a lot of data to train general robot policies, then we first need deployable robots to get all this data. I think that leveraging all the heterogeneous data available, similar to what researchers have done with ChatGPT, is an important step for the robotics field,” says Lirui Wang, an electrical engineering and computer science (EECS) graduate student and lead author of a paper on PoCo .

Wang’s coauthors include Jialiang Zhao, a mechanical engineering graduate student; Yilun Du, an EECS graduate student; Edward Adelson, the John and Dorothy Wilson Professor of Vision Science in the Department of Brain and Cognitive Sciences and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL); and senior author Russ Tedrake, the Toyota Professor of EECS, Aeronautics and Astronautics, and Mechanical Engineering, and a member of CSAIL. The research will be presented at the Robotics: Science and Systems Conference.

Combining disparate datasets

A robotic policy is a machine-learning model that takes inputs and uses them to perform an action. One way to think about a policy is as a strategy. In the case of a robotic arm, that strategy might be a trajectory, or a series of poses that move the arm so it picks up a hammer and uses it to pound a nail.

Datasets used to learn robotic policies are typically small and focused on one particular task and environment, like packing items into boxes in a warehouse.

“Every single robotic warehouse is generating terabytes of data, but it only belongs to that specific robot installation working on those packages. It is not ideal if you want to use all of these data to train a general machine,” Wang says.

The MIT researchers developed a technique that can take a series of smaller datasets, like those gathered from many robotic warehouses, learn separate policies from each one, and combine the policies in a way that enables a robot to generalize to many tasks.

They represent each policy using a type of generative AI model known as a diffusion model. Diffusion models, often used for image generation, learn to create new data samples that resemble samples in a training dataset by iteratively refining their output.

But rather than teaching a diffusion model to generate images, the researchers teach it to generate a trajectory for a robot. They do this by adding noise to the trajectories in a training dataset. The diffusion model gradually removes the noise and refines its output into a trajectory.

This technique, known as Diffusion Policy , was previously introduced by researchers at MIT, Columbia University, and the Toyota Research Institute. PoCo builds off this Diffusion Policy work.

The team trains each diffusion model with a different type of dataset, such as one with human video demonstrations and another gleaned from teleoperation of a robotic arm.

Then the researchers perform a weighted combination of the individual policies learned by all the diffusion models, iteratively refining the output so the combined policy satisfies the objectives of each individual policy.

Greater than the sum of its parts

“One of the benefits of this approach is that we can combine policies to get the best of both worlds. For instance, a policy trained on real-world data might be able to achieve more dexterity, while a policy trained on simulation might be able to achieve more generalization,” Wang says.

Because the policies are trained separately, one could mix and match diffusion policies to achieve better results for a certain task. A user could also add data in a new modality or domain by training an additional Diffusion Policy with that dataset, rather than starting the entire process from scratch.

The researchers tested PoCo in simulation and on real robotic arms that performed a variety of tools tasks, such as using a hammer to pound a nail and flipping an object with a spatula. PoCo led to a 20 percent improvement in task performance compared to baseline methods.

“The striking thing was that when we finished tuning and visualized it, we can clearly see that the composed trajectory looks much better than either one of them individually,” Wang says.

In the future, the researchers want to apply this technique to long-horizon tasks where a robot would pick up one tool, use it, then switch to another tool. They also want to incorporate larger robotics datasets to improve performance.

“We will need all three kinds of data to succeed for robotics: internet data, simulation data, and real robot data. How to combine them effectively will be the million-dollar question. PoCo is a solid step on the right track,” says Jim Fan, senior research scientist at NVIDIA and leader of the AI Agents Initiative, who was not involved with this work.

This research is funded, in part, by Amazon, the Singapore Defense Science and Technology Agency, the U.S. National Science Foundation, and the Toyota Research Institute.

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A study of the impact of scientific collaboration on the application of Large Language Model

Suyan Tan , ,
School of Foreign Studies, Guangzhou University, Guangdong 510006, China
Received: 08 February 2024 Revised: 05 June 2024 Accepted: 11 June 2024 Published: 17 June 2024

MSC : 94B, 35

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The study of Large Language Models (LLMs), as an interdisciplinary discipline involving multiple fields such as computer science, artificial intelligence, and linguistics, has diverse collaborations within its field. In this study, papers related to LLMs in the SSCI and SCI sub-collections of the Web of Science core database from January 2020 to April 2024 are selected, and a mixed linear regression model is used to assess the impact of scientific collaborations on the application of LLMs. On this basis, the paper further considers factors such as financial support and dominant countries to deeply explore the heterogeneous impact of scientific collaborations on the application of LLMs. The findings show that (1) excessive involvement of academic institutions limits the research and application of LLMs, and the number of authors does not have a significant effect on the application of LLMs; (2) with or without financial support, the role played by scientific collaborations in the application of LLMs does not significantly change; and (3) differences in the dominant countries of scientific collaborations have a slightly heterogeneous effect on the role of LLMs applications, which are mainly reflected in the number of collaborators.

scientific collaboration ,
Large Language Model application ,
financial support ,
dominant countries ,
heterogeneity

Citation: Suyan Tan, Yilin Guo. A study of the impact of scientific collaboration on the application of Large Language Model[J]. AIMS Mathematics, 2024, 9(7): 19737-19755. doi: 10.3934/math.2024963

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Figure 1. Keyword clustering mapping for LLMs
Figure 2. Collaborative network map of research institutions and research authors of LLMs

Copyright, the Right to Research and Open Science: about time to connect the dots

E. Bonadio & C. Sganga (eds), A Research Agenda for EU Copyright Law (Edward Elgar, forthcoming 2024)

21 Pages Posted: 17 Jun 2024

Christophe Geiger

Luiss Guido Carli University

Bernd Justin Jütte

University College Dublin - Sutherland School of Law; Vytautas Magnus University - Faculty of Law

Date Written: June 08, 2024

Open Science is a broad concept which main purpose is to enable researchers to access information necessary, and often essential, to drive their own or collective research forward. It is aimed at the sharing of knowledge and information instead of their monopolization. While there has always been an inherent tension between copyright and access to information, it was amplified in the digital environment due to the additional tools (such as technical protection measures and online filters, access on demand) available for rightholders to monetize the access to digital works. In this contribution, we highlight the necessity to design a research-enabling copyright framework that provides researchers with access to the necessary knowledge, information and data, and to tackle the challenges of the future. For that purpose, we examine copyright through the prism of the Open Science movement and in the light of a ‘right to research’ and connect both to a larger, constitutional argument which suggests that enabling research through copyright law is a pressing constitutional imperative. Based on this theoretical framework, we suggest substantive and institutional modifications to copyright law, through legislative interventions and judicial interpretations that would remove significant barriers towards open science as envisaged by European and international institutions. The conflict between the proprietary interests of rightholders and the societal interests in unhindered, purpose-bound research should, in case of doubt, be decided in favour of research and open science as crucial enablers for innovation and progress. For authors, remuneration is most of the time not the primary motivation or incentive to produce research; they can often rely on other revenues (e.g. through institutional employment) and other interest prevail, such as the broadest possible dissemination of their works that will secure them reputation and career advancement. The incentive mechanisms therefore are entirely different in the research field compared to other creative sectors, an aspect that must be taken into account when designing a research-friendly copyright system.

Keywords: Copyright, open science, exceptions and limitations, right to research, fundamental rights

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Luiss Guido Carli University ( email )

Department of Law, Via Parenzo, 11 Rome, Roma 00198 Italy

HOME PAGE: http://giurisprudenza.luiss.it/docenti/cv/353993

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University college dublin - sutherland school of law ( email ).

Belfield Dublin Ireland

Vytautas Magnus University - Faculty of Law ( email )

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Test project uses AI system to improve transit accessibility in Chattanooga

Lucas Johnson

Jun 18, 2024, 4:08 PM

Vanderbilt researchers have developed an innovative software system incorporating artificial intelligence that aims to improve the efficiency of public transportation for individuals with special needs.

The research, led by Abhishek Dubey , associate professor of computer science and electrical and computer engineering, will be presented in a paper at the International Joint Conference on Artificial Intelligence (IJCAI) in August.

In the paper, Dubey and his team discuss their work with the Chattanooga Area Regional Transportation Authority (CARTA) that started in 2020 to improve the operation of its paratransit service, a critical component of traditional transit services that offers door-to-door assistance for people who face challenges using standard transit routes. Pick-up and drop-off times for those individuals must also be adhered to under federal regulations.

However, like other transit systems across the country, CARTA has struggled operationally because of decreasing ridership and increasing operational costs. To improve efficiency, the team developed a set of data-driven optimization modules that incorporates AI to handle online booking, day-ahead scheduling, and real-time requests received by CARTA’s paratransit fleet for routes in the Chattanooga region. Recently, the team has also started running tests with a microtransit version of the system that will be open for general public.

Results from a test of the SmartTransit system that Dubey and his team developed showed significantly fewer detour miles and a higher percentage of trips with more than one passenger, thus reducing the total number of miles the vehicles must drive, researchers said. Another area of improvement was in the generation of manifests, a sequence of pick-ups and drop-offs assigned to each vehicle.

“The CARTA operators revealed that the algorithm closely resembled the manifests generated by hand, and even more crucial, the algorithm took a minute to generate the manifests, whereas CARTA operators took two weeks to generate the manifests by hand,” said Dubey, senior research scientist at the Institute for Software Integrated Systems (ISIS) . “To the best of our knowledge, this work presents one of the first examples of using open-source algorithmic approaches for paratransit optimization.”

Co-author David Rogers , a research engineer with ISIS, said the system prioritizes the needs of dispatchers, drivers, and riders.

“We maintain continuous communication with CARTA personnel to ensure our solutions are both practical and beneficial for all stakeholders,” said Rogers.

The system is continuing to be tested, but Philip Pugliese, CARTA’s general manager of planning and grants, said its results are promising.

“The project has identified some key opportunities to improve service,” said Pugliese. “We look forward to continued development and implementation.”

Other Vanderbilt authors on the SmartTransit paper are Ayan Mukhopadhyay, Sophie Pavia , Jacob Buckelew , and Samir Gupta . Vanderbilt also collaborated with Professor Aron Laszka from Pennsylvania State University and Professor Samitha Samaranayake from Cornell University. CARTA’s Pugliese is also part of the team.

The project was funded through a grant from the National Science Foundation.

Recently, Dubey and another team developed an AI system to help improve operations of Nashville’s public transportation network that won “Best Paper” at the 15th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) , held in Hong Kong May 13-16.

Contact: Lucas Johnson, [email protected]

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