Identify
Explore
Discover
Discuss
Summarise
Describe
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:
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.
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.
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.
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.
Finding a PhD has never been this easy – search for a PhD by keyword, location or academic area of interest.
Join thousands of students.
Join thousands of other students and stay up to date with the latest PhD programmes, funding opportunities and advice.
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.
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.
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 .
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.
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”.
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.
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.
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.
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 .
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.
This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...
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
This is a well researched and superbly written article for learners of research methods at all levels in the research topic from conceptualization to research findings and conclusions. I highly recommend this material to university graduate students. As an instructor of advanced research methods for PhD students, I have confirmed that I was giving the right guidelines for the degree they are undertaking.
Your email address will not be published. Required fields are marked *
Save my name, email, and website in this browser for the next time I comment.
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:
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
Mon - Sat 9:00am - 12:00am
The importance of making a good quality aim and objectives of a research is paramount in the success of the research.
In this post, you will learn:
The research aim is the primary focus of the research and determines what the research serves to do. It defines the purpose of the research and tells the audience what the research aims to achieve.
Because research aims are so important for the study, a sun heading in the introductory chapter is usually dedicated to them. They are written in a paragraph form and define the main purpose of conducting the research on a topic.
Example of a good quality research aim
Research about the effects of climate change on the mental health of young adults can be worded as follows:
“The effects of climate change information on the minds of young adults are under researched. This research aims to find the effects that climate change information has on the mental health of young adults. By studying the effects of the intensity and frequency of the consumption of climate change news and forecasts among young adults, this study aims to see how climate change information is influencing their mental health.”
The above research aim is focused and clear and presents the reader with a clear understanding of the purpose of the research.
Research aims are related to research objectives. The research aim determines the overall purpose of the study, and the objectives determine in what ways that purpose will be achieved. The purpose of the research aim is separated into subsections. However, If any you need to order IT Research Paper help services then you have to take a survey on the net. These subsections are smaller steps that define the objectives of the research.
Research objectives are usually written in the form of a list. These small bits of steps can be checked off as the research progresses. They are written in chronological order, starting with the first objective that needs to be achieved and ending with the final one.
Taking the example of the research aim above, we can divide it into smaller sections to create specific aims of the research.
From this example, you can see how the research aim was broken down into smaller, specific objectives that were then listed down.
Although the two concepts are related, they are not the same. The differences between research aim and research objectives are:
The ways of writing a research aim varies with the researcher, but there are certain points to keep in mind to write a good quality research aim:
1. Answer the “why” question of the research: A research aim needs to provide an answer for why the study is being conducted. It needs to describe, in a small sentence or phares, why the research is important to conduct.
Taking the example of the research aim above, we can see that it answers the why question:
“The effects of climate change information on the minds of young adults are under researched”.
2. Answer the “what” question of the research: this is the main purpose of the research aim, as it signifies the main aim of the research.
From the example above, the “what” question is answered as follows:
“This research aims to find the effects that climate change information has on the mental health of young adults.”
3. Lastly, the research aim needs to answer the “how” question. In a simple sentence or a few phrases, it should outline the main way in which you are planning to achieve the aim.
From the example above, the “how” question is answered as follows:
“By studying the effects of the intensity and frequency of the consumption of climate change news and forecasts among young adults, this study aims to see how climate change information is influencing their mental health.”
Checklist of research aim:
An easy way to determine the quality of your research objectives is to apply the SMART method to them:
In the example above the objectives follow the above mentioned criteria. While making your own objectives, make sure to evaluate them using the points above to ensure your objectives are good quality.
Checklist of research objectives
What to do and what to avoid in writing aims and objectives
Power Point Google Slides
Blogging has been my favourite part-time ever since. However, after graduating from high school, I chose to blog, as my career. It has been 5 years and I am here, blogging my heart out. Writing is the best way to creatively mention your thoughts, and I am a creativity expert!.
Improved scores.
Get Better Grades in Every Subject
Submit Your Assignment on Time
Trust Academic Experts Based in UK
Your Privacy is Our Topmost Concern
Subject* Accounting Accounts Law Advertising Aeronautical Engineering Agency Law Agriculture Animal Management Anthropology Archaeology Architecture Art Astrophysics Biochemistry Biology Biotechnology Business Chemical Engineering Chemistry Child Care Civil Engineering Civil Litigation Law Classics Commercial Law Commercial Property Law Communications Company Law / Business Law Comparative Law Computer Engineering Computing Constitutional / Administrative Law Consumer Law Contract Law Criminal Law Criminal Litigation Criminology Crisis Management Cultural Studies Design Drama E-Commerce Econometrics Economics Education Electrical Engineering Electronic Engineering Employment Law Engineering English Language Environmental Studies Equity Law Estate Management European Law European Studies Events Management Family Law Fashion Film Studies Finance Finance Law Forensic Science General Law Genetics Geography Geology History Hospitality Housing Housing Law HRM Human Rights I.T. Immigration Law Information Systems Intellectual Property Law International Development International Law International Relations International Studies Journalism Jurisprudence Land Law / Property Law Landlord and Tenant Law Languages Law Leisure Management Linguistics Literature Management Maritime Law Marketing Materials Science Mathematics Mechanical Engineering Mechanics Media Media and Information Technology Law Medicine Mental Health Law Midwifery Military Multimedia Negligence Law Neuroscience Nursing Nutrition Operations Management Oriental Studies Pathology Pharmacology Philosophy Physical Education Physical_Sciences Physics Planning / Environmental Law Plant Science Politics Product Design Professional Conduct Law Project Management Property Psychology Public Law Quantitative Methods Religion Restitution Law Risk Management Sciences Shipping Policy Social Work Sociology Software Engineering Sports Statistics Strategic Management Succession Law Surveying Tax Law Teaching Television Theatre Theology Tort Law Tourism Trusts Law Urban Studies Veterinary Wills / Probate Law Zoology Bio-informatics Biomedical Sciences Computer Forensics Data Mining Dentistry Engineering Business Management Environmental Engineering Environmental Management Environmental Science Epidemiology Geophysics Health and Safety Management Occupational Psychology Physiotherapy Public Health Real Estate Research Methods Security Studies Shipping and Trade Finance Sports and Exercise Science Supply Chain Management Sustainable Energy Telecommunication Engineering Toxicology Public Relations Other
Paper Type* Dissertation Dissertation Topics Dissertation-Abstract Dissertation Proposal Dissertation- Analysis Chapter Dissertation- Conclusion Chapter Dissertation- Introduction Chapter Dissertation- Literature Review Chapter Dissertation- Methodology Chapter Dissertation Editing and Proof Reading Essay Admission Essay Scholarship Essay Case Study Annotated Bibliography Assignment Book Report/Review Case Analysis Course Work Information and Communication/ Computer Technology Reaction Paper Research Paper Research Proposal Statistics Project Term Paper Thesis Thesis Proposal Laboratory Report Movie Review Multiple Choice Questions Power Point Presentation Article Speech Other
Education Under Graduate Graduate Masters PhD
Educational resources and simple solutions for your research journey
Table of Contents
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:
This article discusses the importance of clear, well-thought out objectives and suggests methods to write them clearly.
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
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:
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 |
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
Research objectives can be written using the following steps: 7
Formulating research objectives has the following five steps, which could help researchers develop a clear objective: 8
Adding clear research objectives has the following advantages: 4,8
Research objectives also have few disadvantages, as listed below: 8
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.
A: Here are a few examples of 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.
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.
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.
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: |
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.
R Discovery is a literature search and research reading platform that accelerates your research discovery journey by keeping you updated on the latest, most relevant scholarly content. With 250M+ research articles sourced from trusted aggregators like CrossRef, Unpaywall, PubMed, PubMed Central, Open Alex and top publishing houses like Springer Nature, JAMA, IOP, Taylor & Francis, NEJM, BMJ, Karger, SAGE, Emerald Publishing and more, R Discovery puts a world of research at your fingertips.
Try R Discovery Prime FREE for 1 week or upgrade at just US$72 a year to access premium features that let you listen to research on the go, read in your language, collaborate with peers, auto sync with reference managers, and much more. Choose a simpler, smarter way to find and read research – Download the app and start your free 7-day trial today !
Home » Research Objectives – Types, Examples and Writing Guide
Table of Contents
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.
Here are the different types of research objectives in research:
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:
Examples of research objectives Could be:
Research Objectives for the topic of “The Impact of Artificial Intelligence on Employment”:
Some of the main purposes of research objectives include:
Here are some advantages of having well-defined research objectives:
Researcher, Academic Writer, Web developer
Writing a research paper, thesis, or dissertation ? If so, you’ll want to state your research objectives in the introduction of your paper to make it clear to your readers what you’re trying to accomplish. But how do you write effective research objectives? In this post, we’ll look at two key topics to help you do this:
For more advice on how to write strong research objectives, see below.
There is an important difference between research aims and research objectives:
For instance, an example research aim could be:
This study will investigate the link between dehydration and the incidence of urinary tract infections (UTIs) in intensive care patients in Australia.
To develop a set of research objectives, you would then break down the various steps involved in meeting said aim. For example:
This study will investigate the link between dehydration and the incidence of urinary tract infections (UTIs) in intensive care patients in Australia. To achieve this, the study objectives w ill include:
Subscribe to our newsletter and get writing tips from our editors straight to your inbox.
Note that the objectives don’t go into any great detail here. The key is to briefly summarize each component of your study. You can save details for how you will conduct the research for the methodology section of your paper.
A great way to refine your research objectives is to use SMART criteria . Borrowed from the world of project management, there are many versions of this system. However, we’re going to focus on developing specific, measurable, achievable, relevant, and timebound objectives.
In other words, a good research objective should be all of the following:
If you follow this system, your research objectives will be much stronger.
Whatever your research aims and objectives, make sure to have your academic writing proofread by the experts!
Our academic editors can help you with research papers and proposals , as well as any other scholarly document you need checking. And this will help to ensure that your academic writing is always clear, concise, and precise.
Submit a free sample document today to trial our services and find out more.
Post A New Comment
5-minute read
Promoting a brand means sharing valuable insights to connect more deeply with your audience, and...
6-minute read
If you’re seeking funding to support your charitable endeavors as a nonprofit organization, you’ll need...
9-minute read
Is your content getting noticed? Capturing and maintaining an audience’s attention is a challenge when...
8-minute read
Are you looking to enhance engagement and captivate your audience through your professional documents? Interactive...
7-minute read
Voice search optimization is rapidly shaping the digital landscape, requiring content professionals to adapt their...
4-minute read
Are you a creative freelancer looking to make a lasting impression on potential clients or...
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]
Learn about our Editorial Process
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 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.
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:
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.
1. Field: Psychology
Aim: To explore the impact of sleep deprivation on cognitive performance in college students.
2. Field: Environmental Science
Aim: To understand the effects of urban green spaces on human well-being in a metropolitan city.
3. Field: Technology
Aim: To investigate the influence of using social media on productivity in the workplace.
4. Field: Education
Aim: To examine the effectiveness of online vs traditional face-to-face learning on student engagement and achievement.
5. Field: Health
Aim: To determine the impact of a Mediterranean diet on cardiac health among adults over 50.
6. Field: Environmental Science
Aim: To analyze the impact of urban farming on community sustainability.
7. Field: Sociology
Aim: To investigate the influence of home offices on work-life balance during remote work.
8. Field: Economics
Aim: To evaluate the effects of minimum wage increases on small businesses.
9. Field: Education
Aim: To explore the role of extracurricular activities in promoting soft skills among high school students.
10. Field: Technology
Aim: To assess the impact of virtual reality (VR) technology on the tourism industry.
11. Field: Biochemistry
Aim: To examine the role of antioxidants in preventing cellular damage.
12. Field: Linguistics
Aim: To determine the influence of early exposure to multiple languages on cognitive development in children.
13. Field: Art History
Aim: To explore the impact of the Renaissance period on modern-day art trends.
14. Field: Cybersecurity
Aim: To assess the effectiveness of two-factor authentication (2FA) in preventing unauthorized system access.
15. Field: Cultural Studies
Aim: To analyze the role of music in cultural identity formation among ethnic minorities.
16. Field: Astronomy
Aim: To explore the impact of solar activity on satellite communication.
17. Field: Literature
Aim: To examine narrative techniques in contemporary graphic novels.
18. Field: Renewable Energy
Aim: To investigate the feasibility of solar energy as a primary renewable resource within urban areas.
19. Field: Sports Science
Aim: To evaluate the role of pre-game rituals in athlete performance.
20. Field: Ecology
Aim: To investigate the effects of urban noise pollution on bird populations.
21. Field: Food Science
Aim: To examine the influence of cooking methods on the nutritional value of vegetables.
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.
Your email address will not be published. Required fields are marked *
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.
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.
Use our free PhD structure template to quickly visualise every element of your thesis.
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.
Now half price. Join hundreds of other students and become a better thesis writer, or your money back.
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.
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.
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.
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.
Objectives:
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.
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.
32 comments.
The write up is quite inspiring.
My topic is setting up a healing gardens in hospitals Need a aim and objectives for a dissertation
Dis is really good and more understandable thanks
Crisp, concise, and easy to understnad. Thank you for posint this. I now know how to write up my report.
Great. Glad you found it useful.
Good piece of work! Very useful
Great. Glad you found it useful!
The write up makes sense
Great. Thanks!
I love this article. Amazing, outstanding and incredible facts.
Glad you found it useful!
Well written and easy to follow
Thank you for the comment, I’m really glad you found it valuable.
I’m currently developing a dissertation proposal for my PhD in organizational leadership. I need guidance in writing my proposal
Hey – have you checked out this guide? https://www.thephdproofreaders.com/writing/how-to-write-a-phd-proposal/
Indeed I’m impressed and gained a lot from this and I hope I can write an acceptable thesis with this your guide. Bello, H.K
Great. Thanks for the kind words. Good luck with the thesis.
Thumbs up! God job, well done. The information is quite concise and straight to the point.
Glad you thought so – good luck with the writing.
Dear Max, thank you so much for your work and efforts!
Your explanation about Aims and Objectives really helped me out. However, I got stuck with other parts of the Aims and Objectives Work Sheet: Scope, Main Argument, and Contribution.
Could you please explain these as well, preferably including some examples?
Thanks for your kind words. Your question is a big one! Without knowing lots about your topics/subject I’m not able to provide tailored advice, but broadly speaking your scope is the aims/objectives, your main argument is the thread running through the thesis (i.e. what your thesis is trying to argue) and the contribution (again, broadly speaking) is that gap you are filling.
I love your website and you’ve been so SO helpful..
DUMB QUESTION ALERT: Is there supposed to be a difference between aims and research question?
I mean, using your own example.. if the aim of my research is: “To understand the contribution that local governments make to national level energy policy” then wouldn’t the research question be: “How do local governments contribute to energy policy at national level”?
I am sorry if this comes out as completely obvious but I am at that stage of confusion where I am starting to question everything I know.
Sorry it’s taken me so long to reply! It’s not a dumb question at all. The aim of the study is what the study as a whole is seeking to achieve. So that might be the gap it is filling/the contribution it is making. The research questions are your means to achieving that aim. Your aim might be to fill a gap in knowledge, and you then may have a small number of questions that help you along that path. Does that make sense?
Thank you Max for this post! So helpful!
Thanks Anna!
Thanks so much this piece. I have written both bachelor’s and master’s thesis but haven’t read this made me feel like I didn’t know anything about research at all. I gained more insight into aims and objectives of academic researches.
Interesting explanation. Thank you.
I’m glad you found it useful.
Hi… I really like the way it is put “What are you going?” (Aims) and “How are you doing it?” (Objectives). Simple and straightforward. Thanks for making aims and objectives easy to understand.
Thank you for the write up it is insightful. if you are ask to discuss your doctoral aims. that means: what you are doing how you are doing it.
I was totally lost and still in the woods to the point of thinking I am dull, but looking at how you are coaching it tells me that i am just a student who needs to understand the lesson. I now believe that with your guidance i will pass my PhD. I am writing on an otherwise obvious subject, Value addition to raw materials, why Africa has failed to add value to raw materials? Difficult question as answers seem to abound, but that is where i differ and i seem to be against the general tide. However with your guidance I believe i will make it. Thanks.
Thanks for your lovely, kind words. So kind.
Your email address will not be published. Required fields are marked *
Most popular articles from the phd knowlege base.
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.
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. |
Orders completed by our expert writers are
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.
The aim statement should cover the following essential elements.
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.
The objectives describe how you would achieve your research aim. You can do this through the following steps,
Instead of writing like a paragraph, the objectives should be written as a numbered list to give them more clarity.
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.
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.
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.
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.
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.
Students around the globe always make sure to run assignments or other academic work through an online plagiarism checker. Still, the question arises over here,
There’s no magic number of hours! Focus on quality work & schedule breaks. Prioritise well-being & ditch the all-nighters.
Find out all you need to know about paraphrasing and how paraphrasing is essential in essay and assignment writing here.
USEFUL LINKS
LEARNING RESOURCES
COMPANY DETAILS
Introduction.
Research objectives play a crucial role in any research study. They provide a clear direction and purpose for the research, guiding the researcher in their investigation. Understanding research objectives is essential for conducting a successful study and achieving meaningful results.
In this comprehensive review, we will delve into the definition of research objectives, exploring their characteristics, types, and examples. We will also discuss the relationship between research objectives and research questions , as well as provide insights into how to write effective research objectives. Additionally, we will examine the role of research objectives in research methodology and highlight the importance of them in a study. By the end of this review, you will have a comprehensive understanding of research objectives and their significance in the research process.
A research objective is defined as a clear and concise statement that outlines the specific goals and aims of a research study. These objectives are designed to be specific, measurable, achievable, relevant, and time-bound (SMART), ensuring they provide a structured pathway to accomplishing the intended outcomes of the project. Each objective serves as a foundational element that summarizes the purpose of your study, guiding the research activities and helping to measure progress toward the study’s goals. Additionally, research objectives are integral components of the research framework , establishing a clear direction that aligns with the overall research questions and hypotheses. This alignment helps to ensure that the study remains focused and relevant, facilitating the systematic collection, analysis, and interpretation of data.
Characteristics of research objectives include:
By incorporating these characteristics into research objectives, researchers can ensure that their study is focused, achievable, and contributes to the body of knowledge in their field.
Research objective can be broadly classified into general and specific objectives. General objectives are broad statements that define the overall purpose of the research. They provide a broad direction for the study and help in setting the context. Specific objectives, on the other hand, are detailed objectives that describe what will be researched during the study. They are more focused and provide specific outcomes that the researcher aims to achieve. Specific objectives are derived from the general objectives and help in breaking down the research into smaller, manageable parts. The specific objectives should be clear, measurable, and achievable. They should be designed in a way that allows the researcher to answer the research questions and address the research problem.
In addition to general and specific objectives, research objective can also be categorized as descriptive or analytical objectives. Descriptive objectives focus on describing the characteristics or phenomena of a particular subject or population. They involve surveys, observations, and data collection to provide a detailed understanding of the subject. Analytical objectives, on the other hand, aim to analyze the relationships between variables or factors. They involve data analysis and interpretation to gain insights and draw conclusions.
Both descriptive and analytical objectives are important in research as they serve different purposes and contribute to a comprehensive understanding of the research topic.
Here are some examples of research objectives in different fields:
1. Objective: To identify key characteristics and styles of Renaissance art.
This objective focuses on exploring the characteristics and styles of art during the Renaissance period. The research may involve analyzing various artworks, studying historical documents, and interviewing experts in the field.
2. Objective: To analyze modern art trends and their impact on society.
This objective aims to examine the current trends in modern art and understand how they influence society. The research may involve analyzing artworks, conducting surveys or interviews with artists and art enthusiasts, and studying the social and cultural implications of modern art.
3. Objective: To investigate the effects of exercise on mental health.
This objective focuses on studying the relationship between exercise and mental health. The research may involve conducting experiments or surveys to assess the impact of exercise on factors such as stress, anxiety, and depression.
4. Objective: To explore the factors influencing consumer purchasing decisions in the fashion industry.
This objective aims to understand the various factors that influence consumers’ purchasing decisions in the fashion industry. The research may involve conducting surveys, analyzing consumer behavior data, and studying the impact of marketing strategies on consumer choices.
5. Objective: To examine the effectiveness of a new drug in treating a specific medical condition.
This objective focuses on evaluating the effectiveness of a newly developed drug in treating a particular medical condition. The research may involve conducting clinical trials, analyzing patient data, and comparing the outcomes of the new drug with existing treatment options.
These examples demonstrate the diversity of research objectives across different disciplines. Each objective is specific, measurable, and achievable, providing a clear direction for the research study.
Research objectives and research questions are essential components of a research project. Research objective describe what you intend your research project to accomplish. They summarize the approach and purpose of the project and provide a clear direction for the research. Research questions, on the other hand, are the starting point of any good research. They guide the overall direction of the research and help identify and focus on the research gaps .
The main difference between research questions and objectives is their form. Research questions are stated in a question form, while objectives are specific, measurable, and achievable goals that you aim to accomplish within a specified timeframe. Research questions are broad statements that provide a roadmap for the research, while objectives break down the research aim into smaller, actionable steps.
Research objectives and research questions work together to form the ‘golden thread’ of a research project. The research aim specifies what the study will answer, while the objectives and questions specify how the study will answer it. They provide a clear focus and scope for the research project, helping researchers stay on track and ensure that their study is meaningful and relevant.
When writing research objectives and questions, it is important to be clear, concise, and specific. Each objective or question should address a specific aspect of the research and contribute to the overall goal of the study. They should also be measurable, meaning that their achievement can be assessed and evaluated. Additionally, research objectives and questions should be achievable within the given timeframe and resources of the research project. By clearly defining the objectives and questions, researchers can effectively plan and execute their research, leading to valuable insights and contributions to the field.
Writing research objective is a crucial step in any research project. The objectives provide a clear direction and purpose for the study, guiding the researcher in their data collection and analysis. Here are some tips on how to write effective research objective:
1. Be clear and specific
Research objective should be written in a clear and specific manner. Avoid vague or ambiguous language that can lead to confusion. Clearly state what you intend to achieve through your research.
2. Use action verbs
Start your research objective with action verbs that describe the desired outcome. Action verbs such as ‘investigate’, ‘analyze’, ‘compare’, ‘evaluate’, or ‘identify’ help to convey the purpose of the study.
3. Align with research questions or hypotheses
Ensure that your research objectives are aligned with your research questions or hypotheses. The objectives should address the main goals of your study and provide a framework for answering your research questions or testing your hypotheses.
4. Be realistic and achievable
Set research objectives that are realistic and achievable within the scope of your study. Consider the available resources, time constraints, and feasibility of your objectives. Unrealistic objectives can lead to frustration and hinder the progress of your research.
5. Consider the significance and relevance
Reflect on the significance and relevance of your research objectives. How will achieving these objectives contribute to the existing knowledge or address a gap in the literature? Ensure that your objectives have a clear purpose and value.
6. Seek feedback
It is beneficial to seek feedback on your research objectives from colleagues, mentors, or experts in your field. They can provide valuable insights and suggestions for improving the clarity and effectiveness of your objectives.
7. Revise and refine
Research objectives are not set in stone. As you progress in your research, you may need to revise and refine your objectives to align with new findings or changes in the research context. Regularly review and update your objectives to ensure they remain relevant and focused.
By following these tips, you can write research objectives that are clear, focused, and aligned with your research goals. Well-defined objectives will guide your research process and help you achieve meaningful outcomes.
Research objectives play a crucial role in the research methodology . In research methodology, research objectives are formulated based on the research questions or problem statement. These objectives help in defining the scope and focus of the study, ensuring that the research is conducted in a systematic and organized manner.
The research objectives in research methodology act as a roadmap for the research project. They help in identifying the key variables to be studied, determining the research design and methodology, and selecting the appropriate data collection methods .
Furthermore, research objectives in research methodology assist in evaluating the success of the study. By setting clear objectives, researchers can assess whether the desired outcomes have been achieved and determine the effectiveness of the research methods employed. It is important to note that research objectives in research methodology should be aligned with the overall research aim. They should address the specific aspects or components of the research aim and provide a framework for achieving the desired outcomes.
The research objectives of a study play a crucial role in guiding the research process, ensuring that the study is focused, purposeful, and contributes to the advancement of knowledge in the field. It is important to note that the research objectives may evolve or change as the study progresses. As new information is gathered and analyzed, the researcher may need to revise the objectives to ensure that they remain relevant and achievable.
In summary, research objectives are essential components in writing an effective research paper . They provide a roadmap for the research process, guiding the researcher in their investigation and helping to ensure that the study is purposeful and meaningful. By understanding and effectively utilizing research objectives, researchers can enhance the quality and impact of their research endeavors.
Save my name, email, and website in this browser for the next time I comment.
An official website of the United States government
The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.
The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.
Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .
Patricia farrugia.
* Michael G. DeGroote School of Medicine, the
† Division of Orthopaedic Surgery and the
‡ Departments of Surgery and
§ Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ont
There is an increasing familiarity with the principles of evidence-based medicine in the surgical community. As surgeons become more aware of the hierarchy of evidence, grades of recommendations and the principles of critical appraisal, they develop an increasing familiarity with research design. Surgeons and clinicians are looking more and more to the literature and clinical trials to guide their practice; as such, it is becoming a responsibility of the clinical research community to attempt to answer questions that are not only well thought out but also clinically relevant. The development of the research question, including a supportive hypothesis and objectives, is a necessary key step in producing clinically relevant results to be used in evidence-based practice. A well-defined and specific research question is more likely to help guide us in making decisions about study design and population and subsequently what data will be collected and analyzed. 1
In this article, we discuss important considerations in the development of a research question and hypothesis and in defining objectives for research. By the end of this article, the reader will be able to appreciate the significance of constructing a good research question and developing hypotheses and research objectives for the successful design of a research study. The following article is divided into 3 sections: research question, research hypothesis and research objectives.
Interest in a particular topic usually begins the research process, but it is the familiarity with the subject that helps define an appropriate research question for a study. 1 Questions then arise out of a perceived knowledge deficit within a subject area or field of study. 2 Indeed, Haynes suggests that it is important to know “where the boundary between current knowledge and ignorance lies.” 1 The challenge in developing an appropriate research question is in determining which clinical uncertainties could or should be studied and also rationalizing the need for their investigation.
Increasing one’s knowledge about the subject of interest can be accomplished in many ways. Appropriate methods include systematically searching the literature, in-depth interviews and focus groups with patients (and proxies) and interviews with experts in the field. In addition, awareness of current trends and technological advances can assist with the development of research questions. 2 It is imperative to understand what has been studied about a topic to date in order to further the knowledge that has been previously gathered on a topic. Indeed, some granting institutions (e.g., Canadian Institute for Health Research) encourage applicants to conduct a systematic review of the available evidence if a recent review does not already exist and preferably a pilot or feasibility study before applying for a grant for a full trial.
In-depth knowledge about a subject may generate a number of questions. It then becomes necessary to ask whether these questions can be answered through one study or if more than one study needed. 1 Additional research questions can be developed, but several basic principles should be taken into consideration. 1 All questions, primary and secondary, should be developed at the beginning and planning stages of a study. Any additional questions should never compromise the primary question because it is the primary research question that forms the basis of the hypothesis and study objectives. It must be kept in mind that within the scope of one study, the presence of a number of research questions will affect and potentially increase the complexity of both the study design and subsequent statistical analyses, not to mention the actual feasibility of answering every question. 1 A sensible strategy is to establish a single primary research question around which to focus the study plan. 3 In a study, the primary research question should be clearly stated at the end of the introduction of the grant proposal, and it usually specifies the population to be studied, the intervention to be implemented and other circumstantial factors. 4
Hulley and colleagues 2 have suggested the use of the FINER criteria in the development of a good research question ( Box 1 ). The FINER criteria highlight useful points that may increase the chances of developing a successful research project. A good research question should specify the population of interest, be of interest to the scientific community and potentially to the public, have clinical relevance and further current knowledge in the field (and of course be compliant with the standards of ethical boards and national research standards).
Feasible | ||
Interesting | ||
Novel | ||
Ethical | ||
Relevant |
Adapted with permission from Wolters Kluwer Health. 2
Whereas the FINER criteria outline the important aspects of the question in general, a useful format to use in the development of a specific research question is the PICO format — consider the population (P) of interest, the intervention (I) being studied, the comparison (C) group (or to what is the intervention being compared) and the outcome of interest (O). 3 , 5 , 6 Often timing (T) is added to PICO ( Box 2 ) — that is, “Over what time frame will the study take place?” 1 The PICOT approach helps generate a question that aids in constructing the framework of the study and subsequently in protocol development by alluding to the inclusion and exclusion criteria and identifying the groups of patients to be included. Knowing the specific population of interest, intervention (and comparator) and outcome of interest may also help the researcher identify an appropriate outcome measurement tool. 7 The more defined the population of interest, and thus the more stringent the inclusion and exclusion criteria, the greater the effect on the interpretation and subsequent applicability and generalizability of the research findings. 1 , 2 A restricted study population (and exclusion criteria) may limit bias and increase the internal validity of the study; however, this approach will limit external validity of the study and, thus, the generalizability of the findings to the practical clinical setting. Conversely, a broadly defined study population and inclusion criteria may be representative of practical clinical practice but may increase bias and reduce the internal validity of the study.
Population (patients) | ||
Intervention (for intervention studies only) | ||
Comparison group | ||
Outcome of interest | ||
Time |
A poorly devised research question may affect the choice of study design, potentially lead to futile situations and, thus, hamper the chance of determining anything of clinical significance, which will then affect the potential for publication. Without devoting appropriate resources to developing the research question, the quality of the study and subsequent results may be compromised. During the initial stages of any research study, it is therefore imperative to formulate a research question that is both clinically relevant and answerable.
The primary research question should be driven by the hypothesis rather than the data. 1 , 2 That is, the research question and hypothesis should be developed before the start of the study. This sounds intuitive; however, if we take, for example, a database of information, it is potentially possible to perform multiple statistical comparisons of groups within the database to find a statistically significant association. This could then lead one to work backward from the data and develop the “question.” This is counterintuitive to the process because the question is asked specifically to then find the answer, thus collecting data along the way (i.e., in a prospective manner). Multiple statistical testing of associations from data previously collected could potentially lead to spuriously positive findings of association through chance alone. 2 Therefore, a good hypothesis must be based on a good research question at the start of a trial and, indeed, drive data collection for the study.
The research or clinical hypothesis is developed from the research question and then the main elements of the study — sampling strategy, intervention (if applicable), comparison and outcome variables — are summarized in a form that establishes the basis for testing, statistical and ultimately clinical significance. 3 For example, in a research study comparing computer-assisted acetabular component insertion versus freehand acetabular component placement in patients in need of total hip arthroplasty, the experimental group would be computer-assisted insertion and the control/conventional group would be free-hand placement. The investigative team would first state a research hypothesis. This could be expressed as a single outcome (e.g., computer-assisted acetabular component placement leads to improved functional outcome) or potentially as a complex/composite outcome; that is, more than one outcome (e.g., computer-assisted acetabular component placement leads to both improved radiographic cup placement and improved functional outcome).
However, when formally testing statistical significance, the hypothesis should be stated as a “null” hypothesis. 2 The purpose of hypothesis testing is to make an inference about the population of interest on the basis of a random sample taken from that population. The null hypothesis for the preceding research hypothesis then would be that there is no difference in mean functional outcome between the computer-assisted insertion and free-hand placement techniques. After forming the null hypothesis, the researchers would form an alternate hypothesis stating the nature of the difference, if it should appear. The alternate hypothesis would be that there is a difference in mean functional outcome between these techniques. At the end of the study, the null hypothesis is then tested statistically. If the findings of the study are not statistically significant (i.e., there is no difference in functional outcome between the groups in a statistical sense), we cannot reject the null hypothesis, whereas if the findings were significant, we can reject the null hypothesis and accept the alternate hypothesis (i.e., there is a difference in mean functional outcome between the study groups), errors in testing notwithstanding. In other words, hypothesis testing confirms or refutes the statement that the observed findings did not occur by chance alone but rather occurred because there was a true difference in outcomes between these surgical procedures. The concept of statistical hypothesis testing is complex, and the details are beyond the scope of this article.
Another important concept inherent in hypothesis testing is whether the hypotheses will be 1-sided or 2-sided. A 2-sided hypothesis states that there is a difference between the experimental group and the control group, but it does not specify in advance the expected direction of the difference. For example, we asked whether there is there an improvement in outcomes with computer-assisted surgery or whether the outcomes worse with computer-assisted surgery. We presented a 2-sided test in the above example because we did not specify the direction of the difference. A 1-sided hypothesis states a specific direction (e.g., there is an improvement in outcomes with computer-assisted surgery). A 2-sided hypothesis should be used unless there is a good justification for using a 1-sided hypothesis. As Bland and Atlman 8 stated, “One-sided hypothesis testing should never be used as a device to make a conventionally nonsignificant difference significant.”
The research hypothesis should be stated at the beginning of the study to guide the objectives for research. Whereas the investigators may state the hypothesis as being 1-sided (there is an improvement with treatment), the study and investigators must adhere to the concept of clinical equipoise. According to this principle, a clinical (or surgical) trial is ethical only if the expert community is uncertain about the relative therapeutic merits of the experimental and control groups being evaluated. 9 It means there must exist an honest and professional disagreement among expert clinicians about the preferred treatment. 9
Designing a research hypothesis is supported by a good research question and will influence the type of research design for the study. Acting on the principles of appropriate hypothesis development, the study can then confidently proceed to the development of the research objective.
The primary objective should be coupled with the hypothesis of the study. Study objectives define the specific aims of the study and should be clearly stated in the introduction of the research protocol. 7 From our previous example and using the investigative hypothesis that there is a difference in functional outcomes between computer-assisted acetabular component placement and free-hand placement, the primary objective can be stated as follows: this study will compare the functional outcomes of computer-assisted acetabular component insertion versus free-hand placement in patients undergoing total hip arthroplasty. Note that the study objective is an active statement about how the study is going to answer the specific research question. Objectives can (and often do) state exactly which outcome measures are going to be used within their statements. They are important because they not only help guide the development of the protocol and design of study but also play a role in sample size calculations and determining the power of the study. 7 These concepts will be discussed in other articles in this series.
From the surgeon’s point of view, it is important for the study objectives to be focused on outcomes that are important to patients and clinically relevant. For example, the most methodologically sound randomized controlled trial comparing 2 techniques of distal radial fixation would have little or no clinical impact if the primary objective was to determine the effect of treatment A as compared to treatment B on intraoperative fluoroscopy time. However, if the objective was to determine the effect of treatment A as compared to treatment B on patient functional outcome at 1 year, this would have a much more significant impact on clinical decision-making. Second, more meaningful surgeon–patient discussions could ensue, incorporating patient values and preferences with the results from this study. 6 , 7 It is the precise objective and what the investigator is trying to measure that is of clinical relevance in the practical setting.
The following is an example from the literature about the relation between the research question, hypothesis and study objectives:
Study: Warden SJ, Metcalf BR, Kiss ZS, et al. Low-intensity pulsed ultrasound for chronic patellar tendinopathy: a randomized, double-blind, placebo-controlled trial. Rheumatology 2008;47:467–71.
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).
Objective: To investigate the clinical efficacy of LIPUS in the management of patellar tendinopathy symptoms.
The development of the research question is the most important aspect of a research project. A research project can fail if the objectives and hypothesis are poorly focused and underdeveloped. Useful tips for surgical researchers are provided in Box 3 . Designing and developing an appropriate and relevant research question, hypothesis and objectives can be a difficult task. The critical appraisal of the research question used in a study is vital to the application of the findings to clinical practice. Focusing resources, time and dedication to these 3 very important tasks will help to guide a successful research project, influence interpretation of the results and affect future publication efforts.
FINER = feasible, interesting, novel, ethical, relevant; PICOT = population (patients), intervention (for intervention studies only), comparison group, outcome of interest, time.
Competing interests: No funding was received in preparation of this paper. Dr. Bhandari was funded, in part, by a Canada Research Chair, McMaster University.
Princess margaret cancer foundation brings in celebrities to help raise over $3.1m on sep. 28.
Former NHL coach and player Ted Nolan has been in the Stanley Cup playoffs, the Memorial Cup and the Olympics. But, he says, the most important games of his hockey career might be ones he plays at a street hockey tournament this month.
Nolan, from Ontario's Garden River First Nation, will be one of several celebrity guests playing in the Princess Margaret Cancer Foundation's annual Road Hockey to Conquer Cancer tournament on Sep. 28.
The one-day tournament, which features roughly 150 teams, takes place at the Vaughan Metropolitan Centre, and the charity's goal this year is to break its own tournament record of $3.1 million raised for cancer research.
Nolan says this tournament means more to him than his professional achievements, including a Jack Adams Award for the NHL's best coach.
"That's just sport," he said.
"When you're talking about life and death … this ranks way, way above."
Nolan says the cause is personal.
In March 2022, he says, he slipped and fell and thought he'd broken his ribs. Doctors didn't find any bone injuries, and further tests revealed he had multiple myeloma, he says. It's a treatable blood cancer — but it has no cure.
After months of chemo, Nolan says his cancer is now in remission, but the diagnosis and treatment have been an "eye-opener." He was contacted about this month's charity tournament, agreeing to play before he was even asked.
"I was really blessed with some really good medical help to guide me this far and get me to where I am today," he said.
"But they're always looking for new dollars for new research, and the more we do, the better off it's going to get. If I could help out in any way whatsoever, I'm there."
The tournament has raised about $33 million over the past 13 years, says its co-founder Steve Merker, an executive with the Princess Margaret Cancer Foundation.
It set a Guinness World Record in 2015 for "most money raised by a street hockey championships" — bringing in roughly $2 million — which Merker said has since been bested multiple times, including last year when the foundation raised $3.1 million. He wants to break that record again this year.
"But really, it's not about the money raised," he said. "It's what the money will do to empower the scientists here at the Princess Margaret to further our cancer research programs."
Merker says two in five Canadians will get cancer in their lifetime. Research is improving treatment all the time, he says, including for the type of cancer Nolan has. Multiple myeloma was a "death sentence" only 20 to 30 years ago, Merker says.
Teams in the charity tournament can choose what type of cancer research they'd like to help fund, Merker says, and must raise a minimum of $10,000. He says they're still looking for a few teams to sign up and for volunteer referees.
The turnout in 2015 set another Guinness World Record — this one for the largest one-day street hockey championship, with 1,333 participants. Merker expects between 150 and 160 teams of eight to 11 players each to compete this year, meaning they could potentially have closer to 1,500 participants this time around.
The teams that raise the most money will be able to draft celebrity guests like Nolan.
Though Merker didn't reveal the rest of this year's guest list, last year's high profile guests included hockey greats like Wendel Clark, Darryl Sittler and Ray Bourque, as well as current stars like Sarah Nurse.
Ethan Lang is a reporter for CBC Toronto. Ethan has also worked in Whitehorse, where he covered the Yukon Legislative Assembly, and Halifax, where he wrote on housing and forestry for the Halifax Examiner.
Leveraging this unique research multi-state research network offers opportunities for both state Medicaid agencies and their university partners to advance evidence-informed Medicaid policy.
Medicaid programs vary in populations, services, payments, and administration and could serve as a laboratory for learning about optimal ways to meet the health needs of vulnerable populations. Unfortunately, the analytic infrastructure needed to support that learning is limited. The Medicaid Outcomes Distributed Research Network ( MODRN ) was launched in 2017 by two existing networks – the State University Partnership Learning Network and the Medicaid Medical Directors Network – to address this Medicaid research gap and develop analytic and organizational infrastructure to support multi-state Medicaid analyses. MODRN seeks to address issues of national public health importance and measure the impact of innovative policies and interventions.
How MODRN works
MODRN is a distributed research network that conducts standardized analyses without sharing individual-level Medicaid data across states by relying on existing data use agreements between each participating state Medicaid agency and its university partner. Using the MODRN common data model that provides guidance on standard content and structure, university partners transform their state’s Medicaid data and run analytic code sent by a centralized data coordinating center, sending back aggregate results for pooled analyses and reporting. Importantly, each state’s university partner is highly engaged in the development of the standardized analytic code, drawing on their extensive knowledge of their states’ populations, services, and reimbursement policies. MODRN thus allows not only for standardized, but valid measurement of outcomes without the need for multiple data-sharing agreements across states.
Early contributions to quality measurement
When MODRN was launched in 2017 the opioid crisis was the dominant concern for the six initial network states. At the time, the Centers for Medicare and Medicaid Services’ Medicaid Core Set of Quality Measures did not include a single quality measure related to opioid use disorder (OUD) treatment and states with Section 1115 demonstration waivers to expand substance use disorder treatment lacked valid measures to evaluate their impact. To fill these gaps, MODRN produced 21 measures of OUD treatment quality and outcomes, in just a few years, covering six domains:
Measures were reported by population subgroups (sex, age, race/ethnicity, urbanicity, eligibility category) to help states identify inequities in treatment.
How MODRN benefits states and their university partnerships
MODRN provides direct benefits to its state Medicaid partners and enhances state-university partnerships. By offering state Medicaid partners benchmarking and counterfactuals, MODRN gives states performance indicators and shows what might happen if they adopt a policy another state has implemented. Informing Medicaid policy requires analyses that report on differences between states and examine why those differences exist. For example, two current MODRN projects focus on evaluating the impact of Medicaid policy on racial inequities in care and outcomes – one informs Medicaid coverage of doula services and the other examines the place, provider, plan, and policy drivers of inequities in medication treatment for opioid use disorder (OUD ). In addition to providing timely, multi-state analyses of Medicaid data, MODRN augments the internal analytic resources available within its participating partnerships. University partners frequently draw on MODRN measure specifications for other research conducted for their state partners, while MODRN members provide each other with technical assistance, collaboration, mentoring, and a sounding board for new ideas. State Medicaid leaders learn from their colleagues during regular convenings, sharing MODRN findings and shaping the research agenda of the network. In these ways, MODRN provides a crucial opportunity for learning across states.
What’s next for MODRN
Building on its success with quality measure development for OUD, MODRN is well-positioned to address gaps in the Medicaid Core Set. The network is currently working to develop a measure of the cascade of care for chronic viral hepatitis screening and treatment, an identified gap for several years. Future work will also focus on addressing critical gaps in quality measures for youth mental health, as well as informing the implementation and evaluation of Section 1115 demonstration waivers to address health needs shaped by housing insecurity, food insecurity, and involvement with the criminal justice system.
If you are interested in learning more about MODRN, please contact Julie Donohue or Susan Kennedy .
Run a free plagiarism check in 10 minutes, generate accurate citations for free.
Methodology
Published on June 7, 2021 by Shona McCombes . Revised on September 5, 2024 by Pritha Bhandari.
A research design is a strategy for answering your research question using empirical data. Creating a research design means making decisions about:
A well-planned research design helps ensure that your methods match your research objectives and that you use the right kind of analysis for your data.
You might have to write up a research design as a standalone assignment, or it might be part of a larger research proposal or other project. In either case, you should carefully consider which methods are most appropriate and feasible for answering your question.
Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, other interesting articles, frequently asked questions about research design.
Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.
There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities—start by thinking carefully about what you want to achieve.
The first choice you need to make is whether you’ll take a qualitative or quantitative approach.
Qualitative approach | Quantitative approach |
---|---|
and describe frequencies, averages, and correlations about relationships between variables |
Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.
Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.
It’s also possible to use a mixed-methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.
As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .
At each stage of the research design process, make sure that your choices are practically feasible.
Discover proofreading & editing
Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.
Quantitative designs can be split into four main types.
Type of design | Purpose and characteristics |
---|---|
Experimental | relationships effect on a |
Quasi-experimental | ) |
Correlational | |
Descriptive |
With descriptive and correlational designs, you can get a clear picture of characteristics, trends and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).
Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.
Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.
The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analyzing the data.
Type of design | Purpose and characteristics |
---|---|
Grounded theory | |
Phenomenology |
Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.
In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.
A population can be made up of anything you want to study—plants, animals, organizations, texts, countries, etc. In the social sciences, it most often refers to a group of people.
For example, will you focus on people from a specific demographic, region or background? Are you interested in people with a certain job or medical condition, or users of a particular product?
The more precisely you define your population, the easier it will be to gather a representative sample.
Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.
To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalize your results to the population as a whole.
Probability sampling | Non-probability sampling |
---|---|
Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.
For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.
In some types of qualitative designs, sampling may not be relevant.
For example, in an ethnography or a case study , your aim is to deeply understand a specific context, not to generalize to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.
In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question .
For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.
Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.
You can choose just one data collection method, or use several methods in the same study.
Surveys allow you to collect data about opinions, behaviors, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews .
Questionnaires | Interviews |
---|---|
) |
Observational studies allow you to collect data unobtrusively, observing characteristics, behaviors or social interactions without relying on self-reporting.
Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.
Quantitative observation | |
---|---|
There are many other ways you might collect data depending on your field and topic.
Field | Examples of data collection methods |
---|---|
Media & communication | Collecting a sample of texts (e.g., speeches, articles, or social media posts) for data on cultural norms and narratives |
Psychology | Using technologies like neuroimaging, eye-tracking, or computer-based tasks to collect data on things like attention, emotional response, or reaction time |
Education | Using tests or assignments to collect data on knowledge and skills |
Physical sciences | Using scientific instruments to collect data on things like weight, blood pressure, or chemical composition |
If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what kinds of data collection methods they used.
If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected—for example, datasets from government surveys or previous studies on your topic.
With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.
Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.
However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.
As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.
Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are high in reliability and validity.
Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalization means turning these fuzzy ideas into measurable indicators.
If you’re using observations , which events or actions will you count?
If you’re using surveys , which questions will you ask and what range of responses will be offered?
You may also choose to use or adapt existing materials designed to measure the concept you’re interested in—for example, questionnaires or inventories whose reliability and validity has already been established.
Reliability means your results can be consistently reproduced, while validity means that you’re actually measuring the concept you’re interested in.
Reliability | Validity |
---|---|
) ) |
For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.
If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.
As well as choosing an appropriate sampling method , you need a concrete plan for how you’ll actually contact and recruit your selected sample.
That means making decisions about things like:
If you’re using a probability sampling method , it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?
If you’re using a non-probability method , how will you avoid research bias and ensure a representative sample?
It’s also important to create a data management plan for organizing and storing your data.
Will you need to transcribe interviews or perform data entry for observations? You should anonymize and safeguard any sensitive data, and make sure it’s backed up regularly.
Keeping your data well-organized will save time when it comes to analyzing it. It can also help other researchers validate and add to your findings (high replicability ).
On its own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyze the data.
In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarize your sample data, make estimates, and test hypotheses.
Using descriptive statistics , you can summarize your sample data in terms of:
The specific calculations you can do depend on the level of measurement of your variables.
Using inferential statistics , you can:
Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.
Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.
In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.
Two of the most common approaches to doing this are thematic analysis and discourse analysis .
Approach | Characteristics |
---|---|
Thematic analysis | |
Discourse analysis |
There are many other ways of analyzing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.
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.
Statistics
Research bias
A research design is a strategy for answering your research question . It defines your overall approach and determines how you will collect and analyze data.
A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.
Quantitative research designs can be divided into two main categories:
Qualitative research designs tend to be more flexible. Common types of qualitative design include case study , ethnography , and grounded theory designs.
The priorities of a research design can vary depending on the field, but you usually have to specify:
A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.
In statistics, sampling allows you to test a hypothesis about the characteristics of a population.
Operationalization means turning abstract conceptual ideas into measurable observations.
For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.
Before collecting data , it’s important to consider how you will operationalize the variables that you want to measure.
A research project is an academic, scientific, or professional undertaking to answer a research question . Research projects can take many forms, such as qualitative or quantitative , descriptive , longitudinal , experimental , or correlational . What kind of research approach you choose will depend on your topic.
If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.
McCombes, S. (2024, September 05). What Is a Research Design | Types, Guide & Examples. Scribbr. Retrieved September 9, 2024, from https://www.scribbr.com/methodology/research-design/
Other students also liked, guide to experimental design | overview, steps, & examples, how to write a research proposal | examples & templates, ethical considerations in research | types & examples, get unlimited documents corrected.
✔ Free APA citation check included ✔ Unlimited document corrections ✔ Specialized in correcting academic texts
Premedical student designs possible solution to common medical injury
When he was in the tenth grade, Shrihan Ganesh Babu attended a premedical conference where he got to insert a breathing tube into a mannequin. This common ICU procedure, called intubation, saves millions of lives each year – but it comes with a risk.
As Ganesh Babu guided the flexible tube into the airway of the model, his instructor explained how easy it is to injure a human patient during the procedure.
“That really got me thinking,” Ganesh Babu says. “I went home and started looking into the statistics, and more than half of all patients who get intubated get some kind injury, whether that is irritation or something more serious.”
Now a freshman and biochemistry major at the University of South Carolina, Ganesh Babu spent the last two years of high school researching how to reduce injuries caused by intubation. His idea recently helped him win a national research competition.
Ganesh Babu’s says intubation injury seems to occur because of variations in the pressure within a patient’s airway. To fit comfortably, the breathing tube needs to form a tight seal in the patient’s trachea, which naturally expands and contracts with every breath.
This means that with every inhale and exhale, the pressure of the breathing tube inside the patient’s throat may be too high and then too low, again and again.
“I thought ‘There has to be a better way,’” Ganesh Babu says, “I started learning all I could about endotracheal tubes and worked with my high school engineering teacher to design a more responsive, dynamic way to control the pressure and decrease the chances of those injuries.”
He participated in a magnet program at Spring Valley High School that gave him support and mentorship all through his research project. In addition to his teachers, he consulted with a doctor and medical researcher to ensure his design would be practical in a hospital setting.
As a result, he has prototyped a working device, which attaches to a standard breathing tube and may be able to modulate the pressure and help reduce injury to the patient’s soft tissues. He hopes USC will help to take his research to the next level and make his design a reality for future patients.
"My prototype is simple but fully functioning. The issue is that as a high school student, there were limitations in testing it,” Ganesh Babu says.
“At USC, I want to revamp the design using better materials, but the next step for me will be finding a mentor here to continue my research, possibly finding an investor, and then taking it further to test the device.”
Ganesh Babu has won awards at multiple competitions for his research project, including the USC-hosted regional Junior Science Honors Symposium in 2024.
He and several other students from the USC competition then traveled to nationals in New Mexico, where Ganesh Babu won first place in oral presentation in the engineering and technology category. He won a scholarship that he plans to use to help fund his research going forward.
Ganesh Babu says competitions like the Junior Science Honors Symposium can be a rewarding experience for students because of the supportive environment.
“You get to talk with the judges who ask you good questions and also give you suggestions on how to improve your research for next time,” he says.
“You also get to meet a lot of like-minded people. Some of my closest friends are people I've met at conferences. And you get to talk to professors and experts in your field.”
Ganesh Babu is an Honors College student and one of USC’s Top Scholars, a program that prepares students for graduate school or a career through high-impact activities like research, volunteering, internships and leadership.
Thanks to the experiences early in his academic career, a future in medical research or emergency medicine is within reach for Ganesh Babu. Perhaps both.
“I'm considering pursuing a Ph.D. in medicine which would allow me continue doing research on the side while also being physician,” he says.
Whichever career path he chooses, he's on track to make a difference for patients through his research, while also making an impact by volunteering at the Veteran’s Affairs Hospital, shadowing in the ER and earning an EMT license.
“As a doctor, you have the opportunity to change people's lives. People present with different cases, different symptoms. It’s almost like investigative work with many variables to consider. And you get to help people,” he says.
Sign up here.
Reporting by Haripriya Suresh and Manvi Pant in Bengaluru; Editing by Savio D'Souza
Our Standards: The Thomson Reuters Trust Principles. , opens new tab
Thomson Reuters
Haripriya reports on India’s $254-billion Indian information technology (IT) industry, the country’s burgeoning GCCs, as well as new-age startups. With seven years of experience, she has previously reported on politics, civic issues, crime, and breaking news in south India, and tracked the country’s gig economy. She has a degree in Media Studies with a specialisation in journalism from the Symbiosis Centre for Media and Communication.
Apple unveiled an updated Watch at an event on Monday focused on its AI-enhanced iPhone 16, although Apple's product showcase risks being overshadowed by Chinese rival Huawei's tri-fold phone, unofficially announced earlier in the day.
An official website of the United States government
Here’s how you know
The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.
The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.
Program overview.
The Innovation Fund aims to foster competition and innovation across the global telecommunications ecosystem, lower costs for consumers and network operators, and strengthen the 5G and successor wireless technology supply chains. The program’s objectives include unlocking opportunities for innovative companies, particularly small and medium enterprises, to compete in a market historically dominated by a few suppliers, some of which present a high security risk to the U.S. and its partners.
The Innovation Fund facilitates these goals by advancing the adoption of open and interoperable wireless networks. Open and interoperable wireless networks offer numerous benefits over traditional, closed networks that will lower barriers of entry for new and emerging companies. Using open and interoperable wireless networks allows operators to procure the best solutions for their specific needs by mixing and matching network components, increasing competition, and driving innovation.
This Notice of Funding Opportunity (NOFO) is the second in a series that the National Telecommunications and Information Administration (NTIA) will issue and administer under the Innovation Fund. This NOFO is divided into two (2) specific research focus areas (SRFAs):
Innovation Fund NOFO 2 Program Snapshot
You can visit the Innovation Fund Program NOFO 2 Snapshot page or download a one-page summary of the Public Wireless Supply Chain Innovation Program NOFO 2 Snapshot by clicking on the button below
NTIA will award up to $420,000,000 under this NOFO. The amount of funding NTIA expects to award per project differs by SRFA as follows:
Applications were due no later than 11:59 p.m. (EDT) on July 17, 2024. The due date and time reflected a one-week application submission extension from the original deadline.
Grant recipients may only use Federal award funds and any non-federal cost share committed by the recipient to pay for allowable costs under the Innovation Fund program. Allowable costs are determined by the provisions outlined in the NOFO and in accordance with the Federal cost principles identified in 2 C.F.R. § 200.400, Subpart E . In addition, costs must be reasonable, necessary, allocable, and allowable for the proposed project, and must conform to generally accepted accounting principles as defined in 2 C.F.R. § 200.400, Subpart E .
Eligibility varies for each SRFA as follows:
SRFA 1: Eligible entities include U.S. and international for-profit companies, non-profit companies, institutions of higher education, industry groups, and partnerships consisting of two or more such entities. In addition, applicants must meet the following requirements:
The period of performance (POP) for SRFA 1 awards is expected to be 18-24 months. The POP may be less than 18 months, but not more than 24 months from the date of award.
SRFA 2: Eligible Entities include U.S. and international for-profit companies, non-profit companies, institutions of higher education, industry groups, and partnerships consisting of two or more such entities. All work under SRFA 2 must occur in the U.S. The POP for SRFA 2 awards is expected to be three to five years. The POP may be less than three years, but not more than five years from the date of award.
Applicants must submit their materials via Grants.gov. NTIA encourages applicants to initiate the following two steps early, so they are set up for success during the NOFO application window.
You can contact the Innovation Fund via Innovation Fund's email address .
Public wireless supply chain innovation fund listening session #2, more than 225 applications totaling nearly $3 billion submitted for the wireless innovation fund.
WASHINGTON – The Department of Commerce’s National Telecommunications and Information Administration (NTIA) announced today that it received 227 applications requesting more than $2.94 billion in funding to support wireless equipment innovation.
IMAGES
VIDEO
COMMENTS
Aims and Objectives - Guide for Thesis and Dissertations
Research Aims, Objectives & Questions
Formulating Research Aims and Objectives
Research Aims and Objectives
In order to write effective research aims and objectives, researchers should consider all aspects of their proposed work. For example, the sample(s) to be approached for participation in the primary data collection. Identifying research objectives that are SMART is key to ensuring key aspects of the work are considered prior to any data collection.
Research Aims and Objectives: The dynamic duo for ...
Research Objectives | Definition & Examples
What Are Research Objectives and How to Write Them ...
How to Write a Research Proposal | Examples & ...
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.
How to Write Research Objectives | Proofed's Writing Tips
research aims and objectives are important for several reasons: 1. Provides direction: Clear aims and well-defined objectives provide a specific direction for your research study, ensuring that the research stays focused on a specific topic or problem. This helps to prevent the research from becoming too
21 Research Objectives Examples (Copy and Paste)
Aim: 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.
How to Write the Dissertation Aims and Objectives
A Practical Guide to Writing Quantitative and Qualitative ...
A research objective is defined as a clear and concise statement that outlines the specific goals and aims of a research study. These objectives are designed to be specific, measurable, achievable, relevant, and time-bound (SMART), ensuring they provide a structured pathway to accomplishing the intended outcomes of the project.
What's the difference between research aims and objectives?
The research aim is meant to address the research problem or question(s). It needs to be clearly stated in one to three sentences and only one research aim is needed even at the master's and PhD levels because as earlier indicated, a research aim is catchy re-statement of the research topic and the researcher will be dealing with only one ...
What is a Research Objective? Definition, Types, Examples ...
Research questions, hypotheses and objectives - PMC
Research is improving treatment all the time, he says, including for the type of cancer Nolan has. Multiple myeloma was a "death sentence" only 20 to 30 years ago, Merker says.
The Medicaid Outcomes Distributed Research Network (MODRN) was launched in 2017 by two existing networks - the State University Partnership Learning Network and the Medicaid Medical Directors Network - to address this Medicaid research gap and develop analytic and organizational infrastructure to support multi-state Medicaid analyses. MODRN ...
What Is a Research Design | Types, Guide & ...
USC freshman aims to bring medical research to the next level. Ganesh Babu says competitions like the Junior Science Honors Symposium can be a rewarding experience for students because of the supportive environment. "You get to talk with the judges who ask you good questions and also give you suggestions on how to improve your research for ...
Taiwan's Delta Electronics said on Monday it plans to almost double its workforce in India over the next five years, including by setting up its largest research centre in the country whose role ...
This Notice of Funding Opportunity (NOFO) is the second in a series that the National Telecommunications and Information Administration (NTIA) will issue and administer under the Innovation Fund. This NOFO is divided into two (2) specific research focus areas (SRFAs): SRFA 1: - Open Radio Unit (RU) Commercialization: Projects funded under SRFA 1 will focus on accelerating the development of ...