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.
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T he 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.
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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.
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Picture yourself on a road trip without a destination in mind — driving aimlessly, not knowing where you’re headed or how to get there. Similarly, your research is navigated by well-defined research aims and objectives. Research aims and objectives are the foundation of any research project. They provide a clear direction and purpose for the study, ensuring that you stay focused and on track throughout the process. They are your trusted navigational tools, leading you to success.
Understanding the relationship between research objectives and aims is crucial to any research project’s success, and we’re here to break it down for you in this article. Here, we’ll explore the importance of research aims and objectives, understand their differences, and delve into the impact they have on the quality of research.
In research, aims and objectives are two important components but are often used interchangeably. Though they may sound similar, they are distinct and serve different purposes.
Research aims are broad statements that describe the overall purpose of your study. They provide a general direction for your study and indicate the intended achievements of your research. Aims are usually written in a general and abstract manner describing the ultimate goal of the research.
Research objectives are specific, measurable, and achievable goals that you aim to accomplish within a specified timeframe. They break down the research aims into smaller, more manageable components and provide a clear picture of what you want to achieve and how you plan to achieve it.
In the example, the objectives provide specific targets that must be achieved to reach the aim. Essentially, aims provide the overall direction for the research while objectives provide specific targets that must be achieved to accomplish the aims. Aims provide a broad context for the research, while the objectives provide smaller steps that the researcher must take to accomplish the overall research goals. To illustrate, when planning a road trip, your research aim is the destination you want to reach, and your research objectives are the specific routes you need to take to get there.
Aims and objectives are interconnected. Objectives play a key role in defining the research methodology, providing a roadmap for how you’ll collect and analyze data, while aim is the final destination, which represents the ultimate goal of your research. By setting specific goals, you’ll be able to design a research plan that helps you achieve your objectives and, ultimately, your research aim.
The impact of clear research aims and objectives on the quality of research cannot be understated. But it’s not enough to simply have aims and objectives. Well-defined research aims and objectives are important for several reasons:
Formulating effective research aims and objectives involves a systematic process to ensure that they are clear, specific, achievable, and relevant. Start by asking yourself what you want to achieve through your research. What impact do you want your research to have? Once you have a clear understanding of your aims, you can then break them down into specific, achievable objectives. Here are some steps you can follow when developing research aims and objectives:
There are several common mistakes that researchers can make when writing research aims and objectives. These include:
To avoid these common pitfalls, it is important to be specific, clear, relevant, and realistic when writing research aims and objectives. Seek feedback from colleagues or supervisors to ensure that the aims and objectives are aligned with the research problem , questions, and methodology, and are achievable within the constraints of the research project. It’s important to continually refine your aims and objectives as you go. As you progress in your research, it’s not uncommon for research aims and objectives to evolve slightly, but it’s important that they remain consistent with the study conducted and the research topic.
In summary, research aims and objectives are the backbone of any successful research project. They give you the ability to cut through the noise and hone in on what really matters. By setting clear goals and aligning them with your research questions and methodology, you can ensure that your research is relevant, impactful, and of the highest quality. So, before you hit the road on your research journey, make sure you have a clear destination and steps to get there. Let us know in the comments section below the challenges you faced and the strategies you followed while fomulating research aims and objectives! Also, feel free to reach out to us at any stage of your research or publication by using #AskEnago and tagging @EnagoAcademy on Twitter , Facebook , and Quora . Happy researching!
This particular material has added important but overlooked concepts regarding my experiences in explaining research aims and objectives. Thank you
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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.
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Best practices for writing your purpose statement, writing your purpose statement, sample purpose statements.
The purpose statement succinctly explains (on no more than 1 page) the objectives of the research study. These objectives must directly address the problem and help close the stated gap. Expressed as a formula:
Good purpose statements:
In PhD studies, the purpose usually involves applying a theory to solve the problem. In other words, the purpose tells the reader what the goal of the study is, and what your study will accomplish, through which theoretical lens. The purpose statement also includes brief information about direction, scope, and where the data will come from.
A problem and gap in combination can lead to different research objectives, and hence, different purpose statements. In the example from above where the problem was severe underrepresentation of female CEOs in Fortune 500 companies and the identified gap related to lack of research of male-dominated boards; one purpose might be to explore implicit biases in male-dominated boards through the lens of feminist theory. Another purpose may be to determine how board members rated female and male candidates on scales of competency, professionalism, and experience to predict which candidate will be selected for the CEO position. The first purpose may involve a qualitative ethnographic study in which the researcher observes board meetings and hiring interviews; the second may involve a quantitative regression analysis. The outcomes will be very different, so it’s important that you find out exactly how you want to address a problem and help close a gap!
The purpose of the study must not only align with the problem and address a gap; it must also align with the chosen research method. In fact, the DP/DM template requires you to name the research method at the very beginning of the purpose statement. The research verb must match the chosen method. In general, quantitative studies involve “closed-ended” research verbs such as determine , measure , correlate , explain , compare , validate , identify , or examine ; whereas qualitative studies involve “open-ended” research verbs such as explore , understand , narrate , articulate [meanings], discover , or develop .
A qualitative purpose statement following the color-coded problem statement (assumed here to be low well-being among financial sector employees) + gap (lack of research on followers of mid-level managers), might start like this:
In response to declining levels of employee well-being, the purpose of the qualitative phenomenology was to explore and understand the lived experiences related to the well-being of the followers of novice mid-level managers in the financial services industry. The levels of follower well-being have been shown to correlate to employee morale, turnover intention, and customer orientation (Eren et al., 2013). A combined framework of Leader-Member Exchange (LMX) Theory and the employee well-being concept informed the research questions and supported the inquiry, analysis, and interpretation of the experiences of followers of novice managers in the financial services industry.
A quantitative purpose statement for the same problem and gap might start like this:
In response to declining levels of employee well-being, the purpose of the quantitative correlational study was to determine which leadership factors predict employee well-being of the followers of novice mid-level managers in the financial services industry. Leadership factors were measured by the Leader-Member Exchange (LMX) assessment framework by Mantlekow (2015), and employee well-being was conceptualized as a compound variable consisting of self-reported turnover-intent and psychological test scores from the Mental Health Survey (MHS) developed by Johns Hopkins University researchers.
Both of these purpose statements reflect viable research strategies and both align with the problem and gap so it’s up to the researcher to design a study in a manner that reflects personal preferences and desired study outcomes. Note that the quantitative research purpose incorporates operationalized concepts or variables ; that reflect the way the researcher intends to measure the key concepts under study; whereas the qualitative purpose statement isn’t about translating the concepts under study as variables but instead aim to explore and understand the core research phenomenon.
Always keep in mind that the dissertation process is iterative, and your writing, over time, will be refined as clarity is gradually achieved. Most of the time, greater clarity for the purpose statement and other components of the Dissertation is the result of a growing understanding of the literature in the field. As you increasingly master the literature you will also increasingly clarify the purpose of your study.
The purpose statement should flow directly from the problem statement. There should be clear and obvious alignment between the two and that alignment will get tighter and more pronounced as your work progresses.
The purpose statement should specifically address the reason for conducting the study, with emphasis on the word specifically. There should not be any doubt in your readers’ minds as to the purpose of your study. To achieve this level of clarity you will need to also insure there is no doubt in your mind as to the purpose of your study.
Many researchers benefit from stopping your work during the research process when insight strikes you and write about it while it is still fresh in your mind. This can help you clarify all aspects of a dissertation, including clarifying its purpose.
Your Chair and your committee members can help you to clarify your study’s purpose so carefully attend to any feedback they offer.
The purpose statement should reflect the research questions and vice versa. The chain of alignment that began with the research problem description and continues on to the research purpose, research questions, and methodology must be respected at all times during dissertation development. You are to succinctly describe the overarching goal of the study that reflects the research questions. Each research question narrows and focuses the purpose statement. Conversely, the purpose statement encompasses all of the research questions.
Identify in the purpose statement the research method as quantitative, qualitative or mixed (i.e., “The purpose of this [qualitative/quantitative/mixed] study is to ...)
Avoid the use of the phrase “research study” since the two words together are redundant.
Follow the initial declaration of purpose with a brief overview of how, with what instruments/data, with whom and where (as applicable) the study will be conducted. Identify variables/constructs and/or phenomenon/concept/idea. Since this section is to be a concise paragraph, emphasis must be placed on the word brief. However, adding these details will give your readers a very clear picture of the purpose of your research.
Developing the purpose section of your dissertation is usually not achieved in a single flash of insight. The process involves a great deal of reading to find out what other scholars have done to address the research topic and problem you have identified. The purpose section of your dissertation could well be the most important paragraph you write during your academic career, and every word should be carefully selected. Think of it as the DNA of your dissertation. Everything else you write should emerge directly and clearly from your purpose statement. In turn, your purpose statement should emerge directly and clearly from your research problem description. It is good practice to print out your problem statement and purpose statement and keep them in front of you as you work on each part of your dissertation in order to insure alignment.
It is helpful to collect several dissertations similar to the one you envision creating. Extract the problem descriptions and purpose statements of other dissertation authors and compare them in order to sharpen your thinking about your own work. Comparing how other dissertation authors have handled the many challenges you are facing can be an invaluable exercise. Keep in mind that individual universities use their own tailored protocols for presenting key components of the dissertation so your review of these purpose statements should focus on content rather than form.
Once your purpose statement is set it must be consistently presented throughout the dissertation. This may require some recursive editing because the way you articulate your purpose may evolve as you work on various aspects of your dissertation. Whenever you make an adjustment to your purpose statement you should carefully follow up on the editing and conceptual ramifications throughout the entire document.
In establishing your purpose you should NOT advocate for a particular outcome. Research should be done to answer questions not prove a point. As a researcher, you are to inquire with an open mind, and even when you come to the work with clear assumptions, your job is to prove the validity of the conclusions reached. For example, you would not say the purpose of your research project is to demonstrate that there is a relationship between two variables. Such a statement presupposes you know the answer before your research is conducted and promotes or supports (advocates on behalf of) a particular outcome. A more appropriate purpose statement would be to examine or explore the relationship between two variables.
Your purpose statement should not imply that you are going to prove something. You may be surprised to learn that we cannot prove anything in scholarly research for two reasons. First, in quantitative analyses, statistical tests calculate the probability that something is true rather than establishing it as true. Second, in qualitative research, the study can only purport to describe what is occurring from the perspective of the participants. Whether or not the phenomenon they are describing is true in a larger context is not knowable. We cannot observe the phenomenon in all settings and in all circumstances.
It is important to distinguish in your mind the differences between the Problem Statement and Purpose Statement.
The Problem Statement is why I am doing the research
The Purpose Statement is what type of research I am doing to fit or address the problem
The Purpose Statement includes:
Remember, as you are contemplating what to include in your purpose statement and then when you are writing it, the purpose statement is a concise paragraph that describes the intent of the study, and it should flow directly from the problem statement. It should specifically address the reason for conducting the study, and reflect the research questions. Further, it should identify the research method as qualitative, quantitative, or mixed. Then provide a brief overview of how the study will be conducted, with what instruments/data collection methods, and with whom (subjects) and where (as applicable). Finally, you should identify variables/constructs and/or phenomenon/concept/idea.
Creswell (2002) suggested for writing purpose statements in qualitative research include using deliberate phrasing to alert the reader to the purpose statement. Verbs that indicate what will take place in the research and the use of non-directional language that do not suggest an outcome are key. A purpose statement should focus on a single idea or concept, with a broad definition of the idea or concept. How the concept was investigated should also be included, as well as participants in the study and locations for the research to give the reader a sense of with whom and where the study took place.
Creswell (2003) advised the following script for purpose statements in qualitative research:
“The purpose of this qualitative_________________ (strategy of inquiry, such as ethnography, case study, or other type) study is (was? will be?) to ________________ (understand? describe? develop? discover?) the _________________(central phenomenon being studied) for ______________ (the participants, such as the individual, groups, organization) at __________(research site). At this stage in the research, the __________ (central phenomenon being studied) will be generally defined as ___________________ (provide a general definition)” (pg. 90).
Creswell (2003) offers vast differences between the purpose statements written for qualitative research and those written for quantitative research, particularly with respect to language and the inclusion of variables. The comparison of variables is often a focus of quantitative research, with the variables distinguishable by either the temporal order or how they are measured. As with qualitative research purpose statements, Creswell (2003) recommends the use of deliberate language to alert the reader to the purpose of the study, but quantitative purpose statements also include the theory or conceptual framework guiding the study and the variables that are being studied and how they are related.
Creswell (2003) suggests the following script for drafting purpose statements in quantitative research:
“The purpose of this _____________________ (experiment? survey?) study is (was? will be?) to test the theory of _________________that _________________ (compares? relates?) the ___________(independent variable) to _________________________(dependent variable), controlling for _______________________ (control variables) for ___________________ (participants) at _________________________ (the research site). The independent variable(s) _____________________ will be generally defined as _______________________ (provide a general definition). The dependent variable(s) will be generally defined as _____________________ (provide a general definition), and the control and intervening variables(s), _________________ (identify the control and intervening variables) will be statistically controlled in this study” (pg. 97).
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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
Table of contents
Embarking on a research journey without clear objectives is like navigating the sea without a compass. This article delves into the essence of establishing precise research objectives, serving as the guiding star for your scholarly exploration.
We will unfold the layers of how the objective of study not only defines the scope of your research but also directs every phase of the research process, from formulating research questions to interpreting research findings. By bridging theory with practical examples, we aim to illuminate the path to crafting effective research objectives that are both ambitious and attainable. Let’s chart the course to a successful research voyage, exploring the significance, types, and formulation of research paper objectives.
Defining the research objectives includes which two tasks? Research objectives are clear and concise statements that outline what you aim to achieve through your study. They are the foundation for determining your research scope, guiding your data collection methods, and shaping your analysis. The purpose of research proposal and setting clear objectives in it is to ensure that your research efforts are focused and efficient, and to provide a roadmap that keeps your study aligned with its intended outcomes.
To define the research objective at the outset, researchers can avoid the pitfalls of scope creep, where the study’s focus gradually broadens beyond its initial boundaries, leading to wasted resources and time. Clear objectives facilitate communication with stakeholders, such as funding bodies, academic supervisors, and the broader academic community, by succinctly conveying the study’s goals and significance. Furthermore, they help in the formulation of precise research questions and hypotheses, making the research process more systematic and organized. Yet, it is not always easy. For this reason, PapersOwl is always ready to help. Lastly, clear research objectives enable the researcher to critically assess the study’s progress and outcomes against predefined benchmarks, ensuring the research stays on track and delivers meaningful results.
Research objectives are integral to the research framework as the nexus between the research problem, questions, and hypotheses. They translate the broad goals of your study into actionable steps, ensuring every aspect of your research is purposefully aligned towards addressing the research problem. This alignment helps in structuring the research design and methodology, ensuring that each component of the study is geared towards answering the core questions derived from the objectives. Creating such a difficult piece may take a lot of time. If you need it to be accurate yet fast delivered, consider getting professional research paper writing help whenever the time comes. It also aids in the identification and justification of the research methods and tools used for data collection and analysis, aligning them with the objectives to enhance the validity and reliability of the findings.
Furthermore, by setting clear objectives, researchers can more effectively evaluate the impact and significance of their work in contributing to existing knowledge. Additionally, research objectives guide literature review, enabling researchers to focus their examination on relevant studies and theoretical frameworks that directly inform their research goals.
In the landscape of research, setting objectives is akin to laying down the tracks for a train’s journey, guiding it towards its destination. Constructing these tracks involves defining two main types of objectives: general and specific. Each serves a unique purpose in guiding the research towards its ultimate goals, with general objectives providing the broad vision and specific objectives outlining the concrete steps needed to fulfill that vision. Together, they form a cohesive blueprint that directs the focus of the study, ensuring that every effort contributes meaningfully to the overarching research aims.
To illustrate, consider a research project on the impact of digital marketing on consumer behavior. A general objective might be “to explore the influence of digital marketing on consumer purchasing decisions.” Specific objectives could include “to assess the effectiveness of social media advertising in enhancing brand awareness” and “to evaluate the impact of email marketing on customer loyalty.”
The harmony between what research objectives should be, questions, and hypotheses is critical. Objectives define what you aim to achieve; research questions specify what you seek to understand, and hypotheses predict the expected outcomes.
This alignment ensures a coherent and focused research endeavor. Achieving it necessitates a thoughtful consideration of how each component interrelates, ensuring that the objectives are not only ambitious but also directly answerable through the research questions and testable via the hypotheses. This interconnectedness facilitates a streamlined approach to the research process, enabling researchers to systematically address each aspect of their study in a logical sequence. Moreover, it enhances the clarity and precision of the research, making it easier for peers and stakeholders to grasp the study’s direction and potential contributions.
Throughout the research process, objectives guide your choices and strategies – from selecting the appropriate research design and methods to analyzing data and interpreting results. They are the criteria against which you measure the success of your study. In the initial stages, research objectives inform the selection of a topic, helping to narrow down a broad area of interest into a focused question that can be explored in depth. During the methodology phase, they dictate the type of data needed and the best methods for obtaining that data, ensuring that every step taken is purposeful and aligned with the study’s goals. As the research progresses, objectives provide a framework for analyzing the collected data, guiding the researcher in identifying patterns, drawing conclusions, and making informed decisions.
The effective objective of research is pivotal in laying the groundwork for a successful investigation. These objectives clarify the focus of your study and determine its direction and scope. Ensuring that your objectives are well-defined and aligned with the SMART criteria is crucial for setting a strong foundation for your research.
Well-defined research objectives are characterized by the SMART criteria – Specific, Measurable, Achievable, Relevant, and Time-bound. Specific objectives clearly define what you plan to achieve, eliminating any ambiguity. Measurable objectives allow you to track progress and assess the outcome. Achievable objectives are realistic, considering the research sources and time available. Relevant objectives align with the broader goals of your field or research question. Finally, Time-bound objectives have a clear timeline for completion, adding urgency and a schedule to your work.
So lets get to the part, how to write research objectives properly?
Your objectives of research may require refinement if they lack clarity, feasibility, or alignment with the research problem. If you find yourself struggling to design experiments or methods that directly address your objectives, or if the objectives seem too broad or not directly related to your research question, it’s likely time for refinement. Additionally, objectives in research proposal that do not facilitate a clear measurement of success indicate a need for a more precise definition. Refinement involves ensuring that each objective is specific, measurable, achievable, relevant, and time-bound, enhancing your research’s overall focus and impact.
The application of research objectives spans various academic disciplines, each with its unique focus and methodologies. To illustrate how the objectives of the study guide a research paper across different fields, here are some research objective examples:
These examples of research objectives describe the versatility and significance of research objectives in guiding scholarly inquiry across different domains. By setting clear, well-defined objectives, researchers can ensure their studies are focused and impactful and contribute valuable knowledge to their respective fields.
Defining research studies objectives and problem statement is not just a preliminary step, but a continuous guiding force throughout the research journey. These goals of research illuminate the path forward and ensure that every stride taken is meaningful and aligned with the ultimate goals of the inquiry. Whether through the meticulous application of the SMART criteria or the strategic alignment with research questions and hypotheses, the rigor in crafting and refining these objectives underscores the integrity and relevance of the research. As scholars venture into the vast terrains of knowledge, the clarity, and precision of their objectives serve as beacons of light, steering their explorations toward discoveries that advance academic discourse and resonate with the broader societal needs.
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A research objective, also known as a goal or an objective, is a sentence or question that summarizes the purpose of your study or test. In other words, it’s an idea you want to understand deeper by performing research. Objectives should be the driving force behind every task you assign and each question that you ask. These objectives should be centered on specific features or processes of your product. By having a solid understanding of the information you need when running your usability study, you’ll be able to better stay on track throughout your development process.
Before you write your objective, you need a problem statement , which you can source from your support team and the frequent customer issues they encounter, negative customer reviews , or feedback from social media. From there, your objective might look like, “Do people find value in this new product idea?” or “How do our competitors describe their offerings compared to us?”
Many UX researchers agree that the more specific the objectives, the easier it is to write tasks and questions. Subsequently, it’ll also be easier to extract answers later on in the analysis. In addition, your objective doesn’t have to spark one angle alone; it could have the potential to inspire multiple test directions. For instance, take this research objective, “I want to understand and resolve the barriers customers face when looking for answers about products and services on our website.”
From this one objective, potential study angles could be:
As you can see, the above objective can be branched out to address content, usability, and design. For further inspiration, collaborate with the product’s stakeholders. You can start the conversation at a high level by determining what features or processes they want test participants to review, like a navigation menu or website messaging.
And before you put a stamp of approval on a research objective, ask for feedback from your team. Two researchers could write very different test plans when an objective is unclear or misaligned. For example, one researcher may hone in on design while another focuses on usability. Meanwhile, another may keep their objective more broad while another writes on that’s more detailed. And while the findings from either case would be insightful, they might not match up with what the team actually needs to learn. So to summarize, start the process with a problem statement, loop in stakeholders early if applicable, and ensure your team is aligned on your objective(s).
Writing and refining your research objective should come after you have a clear problem statement and before you decide on a research method and test plan to execute your study.
After you’ve written a rough draft of your research objective, the ink might not even be dry when stakeholders could get involved by offering you an abundance of objectives. To figure out what to tackle first, ask your stakeholders to prioritize their needs. This step could happen via email or in a meeting, but another method could be to list out all of the possible objectives in a Google form and have everyone rearrange the list into their ideal order.
And if stakeholders haven’t handed you a list of objectives and you’re on your own for brainstorming and prioritizing, opt for the objective that’s tied to a KPI—from increasing website conversions to driving more daily active users in your SaaS product. This will help you size up the relevance and impact your research has on the metrics your business is measuring. The added benefit here is when you’re asked about the impact of that research, you can tie back your ROI calculations to tangible and relatable objectives that you know the business is tracking.
The type of research you do will depend on the stage of product development you’re in. Each stage of development has different research objectives—and different questions that need to be answered. And once you’ve decided on a problem statement, you could either have one or multiple research objectives that tie back to that statement. Typically, this means that you’ll want to select one to three objectives; the less you have, the more manageable your test (and timeline) will be.
For more, the UserTesting template library is a great place to start for common questions that you need answers to or inspiration for your research objective.
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Research techniques and education.
Four key components to a research project are the purpose statement, research questions, hypotheses, and research objectives. In this post, we will define each of these.
Definitions
The purpose of this study is to examine the relationship between college completion and organizational commitment of undergraduate students in Thailand.
Here is an example of a qualitative purpose statement.
The purpose of this study is to explore student experiences at a university in Thailand about completing their tertiary degree.
Both of these examples are short one-sentence responses to what the study will attempt to do. This is a critical first step in shaping the study.
Research Question
The research question(s) in a quantitative or qualitative study narrows the purpose down to a specific question(s) for the researcher to find answers. Below are examples from both the quantitative and qualitative perspective. We are continuing the research themes from the previous section on the purpose statement.
Quantitative
Does organizational commitment affect college completion of students?
Qualitative
What kinds of experiences have students had while completing their degree?
On closer examination, you may have noticed that the research questions sound a lot like the purpose statement. Research questions often split a part a long complex purpose statement into several questions. This is why questions sound so redundant when compared to the purpose statement. Despite this apparent problem, this thought process helps researchers to organize their thinking and proceed in a manner that is much more efficient.
The next two components only relate to quantitative research and they are the hypotheses and research objective(s). For this reason our illustration of qualitative concepts will stop at this point.
Hypotheses are statements a researcher makes about the potential outcome(s) of a study based on the examination of literature. Below is an example from the same theme as before.
Students who have a higher perception of organizational commitment will also have a higher likelihood of completing college.
Again, the wording of the research questions, hypotheses and purpose statement are similarly. The difference is only slightly and is due to context. Seeing these similarities quickly will help you to move faster in finishing a study. The difference between these elements is a matter of perspective rather than a strong difference, as they do sound awfully similar.
Research Objectives
Research objectives are the goals a researcher has for a study. This component is not always included in a study. Below is an example.
To examine the correlation between organizational commitment and the rate of college completion
10 thoughts on “ research purpose, hypotheses, and questions ”.
This is the wrong use of the word, it should be “their” not “there”.
The purpose of this study is to explore student experiences at a university in Thailand about completing there tertiary degree.
Whoops, thanks for catching that
Thank you for this, very helpful 🙂
This has been helpful.
This was helpful. Thank you
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This was helpful.
Glad to be of service
As an emerging researcher, my worry is that I have six objectives but five research questions and hypotheses. Am I correct or they must all be the same in times of numbers? Thank you
Thank you, this information helped me so much.
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Priya ranganathan.
Department of Anaesthesiology, Tata Memorial Centre, Mumbai, Maharashtra, India
1 Department of Gastroenterology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
There are several types of research study designs, each with its inherent strengths and flaws. The study design used to answer a particular research question depends on the nature of the question and the availability of resources. In this article, which is the first part of a series on “study designs,” we provide an overview of research study designs and their classification. The subsequent articles will focus on individual designs.
Research study design is a framework, or the set of methods and procedures used to collect and analyze data on variables specified in a particular research problem.
Research study designs are of many types, each with its advantages and limitations. The type of study design used to answer a particular research question is determined by the nature of question, the goal of research, and the availability of resources. Since the design of a study can affect the validity of its results, it is important to understand the different types of study designs and their strengths and limitations.
There are some terms that are used frequently while classifying study designs which are described in the following sections.
A variable represents a measurable attribute that varies across study units, for example, individual participants in a study, or at times even when measured in an individual person over time. Some examples of variables include age, sex, weight, height, health status, alive/dead, diseased/healthy, annual income, smoking yes/no, and treated/untreated.
A large proportion of research studies assess the relationship between two variables. Here, the question is whether one variable is associated with or responsible for change in the value of the other variable. Exposure (or intervention) refers to the risk factor whose effect is being studied. It is also referred to as the independent or the predictor variable. The outcome (or predicted or dependent) variable develops as a consequence of the exposure (or intervention). Typically, the term “exposure” is used when the “causative” variable is naturally determined (as in observational studies – examples include age, sex, smoking, and educational status), and the term “intervention” is preferred where the researcher assigns some or all participants to receive a particular treatment for the purpose of the study (experimental studies – e.g., administration of a drug). If a drug had been started in some individuals but not in the others, before the study started, this counts as exposure, and not as intervention – since the drug was not started specifically for the study.
Observational studies are those where the researcher is documenting a naturally occurring relationship between the exposure and the outcome that he/she is studying. The researcher does not do any active intervention in any individual, and the exposure has already been decided naturally or by some other factor. For example, looking at the incidence of lung cancer in smokers versus nonsmokers, or comparing the antenatal dietary habits of mothers with normal and low-birth babies. In these studies, the investigator did not play any role in determining the smoking or dietary habit in individuals.
For an exposure to determine the outcome, it must precede the latter. Any variable that occurs simultaneously with or following the outcome cannot be causative, and hence is not considered as an “exposure.”
Observational studies can be either descriptive (nonanalytical) or analytical (inferential) – this is discussed later in this article.
Interventional studies are experiments where the researcher actively performs an intervention in some or all members of a group of participants. This intervention could take many forms – for example, administration of a drug or vaccine, performance of a diagnostic or therapeutic procedure, and introduction of an educational tool. For example, a study could randomly assign persons to receive aspirin or placebo for a specific duration and assess the effect on the risk of developing cerebrovascular events.
Descriptive (or nonanalytical) studies, as the name suggests, merely try to describe the data on one or more characteristics of a group of individuals. These do not try to answer questions or establish relationships between variables. Examples of descriptive studies include case reports, case series, and cross-sectional surveys (please note that cross-sectional surveys may be analytical studies as well – this will be discussed in the next article in this series). Examples of descriptive studies include a survey of dietary habits among pregnant women or a case series of patients with an unusual reaction to a drug.
Analytical studies attempt to test a hypothesis and establish causal relationships between variables. In these studies, the researcher assesses the effect of an exposure (or intervention) on an outcome. As described earlier, analytical studies can be observational (if the exposure is naturally determined) or interventional (if the researcher actively administers the intervention).
Based on the direction of inquiry, study designs may be classified as forward-direction or backward-direction. In forward-direction studies, the researcher starts with determining the exposure to a risk factor and then assesses whether the outcome occurs at a future time point. This design is known as a cohort study. For example, a researcher can follow a group of smokers and a group of nonsmokers to determine the incidence of lung cancer in each. In backward-direction studies, the researcher begins by determining whether the outcome is present (cases vs. noncases [also called controls]) and then traces the presence of prior exposure to a risk factor. These are known as case–control studies. For example, a researcher identifies a group of normal-weight babies and a group of low-birth weight babies and then asks the mothers about their dietary habits during the index pregnancy.
The terms “prospective” and “retrospective” refer to the timing of the research in relation to the development of the outcome. In retrospective studies, the outcome of interest has already occurred (or not occurred – e.g., in controls) in each individual by the time s/he is enrolled, and the data are collected either from records or by asking participants to recall exposures. There is no follow-up of participants. By contrast, in prospective studies, the outcome (and sometimes even the exposure or intervention) has not occurred when the study starts and participants are followed up over a period of time to determine the occurrence of outcomes. Typically, most cohort studies are prospective studies (though there may be retrospective cohorts), whereas case–control studies are retrospective studies. An interventional study has to be, by definition, a prospective study since the investigator determines the exposure for each study participant and then follows them to observe outcomes.
The terms “prospective” versus “retrospective” studies can be confusing. Let us think of an investigator who starts a case–control study. To him/her, the process of enrolling cases and controls over a period of several months appears prospective. Hence, the use of these terms is best avoided. Or, at the very least, one must be clear that the terms relate to work flow for each individual study participant, and not to the study as a whole.
Figure 1 depicts a simple classification of research study designs. The Centre for Evidence-based Medicine has put forward a useful three-point algorithm which can help determine the design of a research study from its methods section:[ 1 ]
Classification of research study designs
In the next few pieces in the series, we will discuss various study designs in greater detail.
Conflicts of interest.
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Home » Significance of the Study – Examples and Writing Guide
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Definition:
Significance of the study in research refers to the potential importance, relevance, or impact of the research findings. It outlines how the research contributes to the existing body of knowledge, what gaps it fills, or what new understanding it brings to a particular field of study.
In general, the significance of a study can be assessed based on several factors, including:
The significance of the Study can be divided into the following types:
Theoretical significance refers to the contribution that a study makes to the existing body of theories in a specific field. This could be by confirming, refuting, or adding nuance to a currently accepted theory, or by proposing an entirely new theory.
Practical significance refers to the direct applicability and usefulness of the research findings in real-world contexts. Studies with practical significance often address real-life problems and offer potential solutions or strategies. For example, a study in the field of public health might identify a new intervention that significantly reduces the spread of a certain disease.
This pertains to the potential of a study to inspire further research. A study might open up new areas of investigation, provide new research methodologies, or propose new hypotheses that need to be tested.
Here’s a guide to writing an effective “Significance of the Study” section in research paper, thesis, or dissertation:
The Significance of the Study in a research paper refers to the importance or relevance of the research topic being investigated. It answers the question “Why is this research important?” and highlights the potential contributions and impacts of the study.
The significance of the study can be presented in the introduction or background section of a research paper. It typically includes the following components:
Suppose a researcher is conducting a study on the “Effects of social media use on the mental health of adolescents”.
The significance of the study may be:
“The present study is significant because it addresses a pressing public health issue of the negative impact of social media use on adolescent mental health. Given the widespread use of social media among this age group, understanding the effects of social media on mental health is critical for developing effective prevention and intervention strategies. This study will contribute to the existing literature by examining the moderating factors that may affect the relationship between social media use and mental health outcomes. It will also shed light on the potential benefits and risks of social media use for adolescents and inform the development of evidence-based guidelines for promoting healthy social media use among this population. The limitations of this study include the use of self-reported measures and the cross-sectional design, which precludes causal inference.”
The significance of the study in a thesis refers to the importance or relevance of the research topic and the potential impact of the study on the field of study or society as a whole. It explains why the research is worth doing and what contribution it will make to existing knowledge.
For example, the significance of a thesis on “Artificial Intelligence in Healthcare” could be:
The significance of a study in a research proposal refers to the importance or relevance of the research question, problem, or objective that the study aims to address. It explains why the research is valuable, relevant, and important to the academic or scientific community, policymakers, or society at large. A strong statement of significance can help to persuade the reviewers or funders of the research proposal that the study is worth funding and conducting.
Here is an example of a significance statement in a research proposal:
Title : The Effects of Gamification on Learning Programming: A Comparative Study
Significance Statement:
This proposed study aims to investigate the effects of gamification on learning programming. With the increasing demand for computer science professionals, programming has become a fundamental skill in the computer field. However, learning programming can be challenging, and students may struggle with motivation and engagement. Gamification has emerged as a promising approach to improve students’ engagement and motivation in learning, but its effects on programming education are not yet fully understood. This study is significant because it can provide valuable insights into the potential benefits of gamification in programming education and inform the development of effective teaching strategies to enhance students’ learning outcomes and interest in programming.
Here are some examples of the significance of a study that indicates how you can write this into your research paper according to your research topic:
Research on an Improved Water Filtration System : This study has the potential to impact millions of people living in water-scarce regions or those with limited access to clean water. A more efficient and affordable water filtration system can reduce water-borne diseases and improve the overall health of communities, enabling them to lead healthier, more productive lives.
Study on the Impact of Remote Work on Employee Productivity : Given the shift towards remote work due to recent events such as the COVID-19 pandemic, this study is of considerable significance. Findings could help organizations better structure their remote work policies and offer insights on how to maximize employee productivity, wellbeing, and job satisfaction.
Investigation into the Use of Solar Power in Developing Countries : With the world increasingly moving towards renewable energy, this study could provide important data on the feasibility and benefits of implementing solar power solutions in developing countries. This could potentially stimulate economic growth, reduce reliance on non-renewable resources, and contribute to global efforts to combat climate change.
Research on New Learning Strategies in Special Education : This study has the potential to greatly impact the field of special education. By understanding the effectiveness of new learning strategies, educators can improve their curriculum to provide better support for students with learning disabilities, fostering their academic growth and social development.
Examination of Mental Health Support in the Workplace : This study could highlight the impact of mental health initiatives on employee wellbeing and productivity. It could influence organizational policies across industries, promoting the implementation of mental health programs in the workplace, ultimately leading to healthier work environments.
Evaluation of a New Cancer Treatment Method : The significance of this study could be lifesaving. The research could lead to the development of more effective cancer treatments, increasing the survival rate and quality of life for patients worldwide.
The Significance of the Study section is an integral part of a research proposal or a thesis. This section is typically written after the introduction and the literature review. In the research process, the structure typically follows this order:
In the Significance of the Study section, you will discuss why your study is important, who it benefits, and how it adds to existing knowledge or practice in your field. This section is your opportunity to convince readers, and potentially funders or supervisors, that your research is valuable and worth undertaking.
The Significance of the Study section in a research paper has multiple advantages:
The Significance of the Study section plays an essential role in any research. However, it is not without potential limitations. Here are some that you should be aware of:
Researcher, Academic Writer, Web developer
Understanding the difference between aims and objectives in research.
In the field of research, distinguishing between the terms “aim” and “objective” is crucial yet often confusing. Many people use these terms interchangeably, but they represent different aspects of the research process. This comprehensive guide will clarify the difference between aims and objectives, how to use them effectively, and why understanding this distinction is essential for successful research.
The aim of a research study is a broad, overarching statement that defines the general purpose and goal of the research. It addresses the fundamental question of why the study is being conducted and what the researcher hopes to achieve. The aim provides a high-level overview and sets the direction for the entire study. A well-defined aim is crucial as it helps to frame the research questions, guides the research process, and communicates the significance of the study to stakeholders such as funding bodies, academic peers, and the public. It essentially provides the foundation upon which the research is built.
For example, if a researcher is investigating the impact of diet on cardiovascular health, the aim might be: “To explore the effects of dietary habits on the prevalence of cardiovascular diseases in adults.”
Objectives are specific, detailed statements that outline the steps or actions required to achieve the aim of the study. They break down the broad aim into manageable tasks and provide a clear roadmap for conducting the research. Objectives are more detailed and measurable compared to the aim, and they help operationalize the research process.
The key functions of objectives include:
– Specific: Clear and unambiguous.
– Measurable: Includes criteria to measure progress and success.
– Achievable: Feasible within the given timeframe and resources.
– Relevant: Directly related to the aim of the study.
– Time-bound: Has a defined deadline for completion.
Examples Illustrating the Difference Between Aims and Objectives
– aim: to investigate the relationship between physical activity and mental health..
Objectives:
– To review existing literature on the relationship between physical activity and mental health.
– To collect data on physical activity levels and mental health indicators in a sample population.
– To analyze the data to determine the influence of physical activity on mental health .
– To draw conclusions based on the findings and make recommendations for future research or interventions.
In this example, the aim is to explore the broader relationship between physical activity and mental health. https://www.manuscriptedit.com/scholar-hangout/explore-the-social-determinants-of-mental-health/The objectives break down this aim into specific tasks, such as reviewing literature, collecting data, analyzing results, and making recommendations.
– To identify the core components and theoretical basis of the new teaching method.
– To implement the teaching method in selected classrooms.
– To collect and analyze data on student performance before and after the implementation.
– To evaluate the effectiveness of the teaching method based on the performance data.
– To provide recommendations for optimizing the teaching method and its implementation.
Here, the aim is to assess the effectiveness of a new teaching method. The objectives detail the steps required to evaluate this effectiveness , including identifying components, implementing the method, collecting data, analyzing results, and making recommendations.
Recognizing the difference between aims and objectives is important for several reasons:.
In summary, while the aim of a research study represents the broad goal or purpose, objectives are specific statements that outline the steps necessary to achieve that aim. Understanding the difference between aims and objectives helps in creating a clear and structured research plan, ensuring that the study remains focused and aligned with its overall purpose. By clearly defining both aims and objectives, researchers can enhance the clarity, effectiveness, and impact of their research .
For more insights and resources on research and academic writing , visit our website [ManuscriptEdit](https://www.manuscriptedit.com). If you have any queries or need assistance, feel free to contact us at [email protected].
References: “Thesis Writing.” Google Books , books.google.co.in/books?hl=en&lr=&id=LZSSEAAAQBAJ&oi=fnd&pg=PA77&dq=Difference+between+Aim+and+Objectives+of+a+Research+Study&ots=s96gshgb-7&sig=vPygp_US9INyKqT-T6N-EC3x_2s&redir_esc=y#v=onepage&q=Difference%20between%20Aim%20and%20Objectives%20of%20a%20Research%20Study&f=false .
Hirsch, E. D. “Objective Interpretation.” PMLA/Publications of the Modern Language Association of America , vol. 75, no. 4-Part1, Sept. 1960, pp. 463–79. https://doi.org/10.2307/460609 .
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What’s the difference between research aims and objectives.
A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.
Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.
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.
The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.
Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .
However, it should also fulfill criteria in three main areas:
Research questions anchor your whole project, so it’s important to spend some time refining them.
In general, they should be:
All research questions should be:
Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .
Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.
I will compare …
Your research objectives indicate how you’ll try to address your research problem and should be specific:
Research objectives describe what you intend your research project to accomplish.
They summarize the approach and purpose of the project and help to focus your research.
Your objectives should appear in the introduction of your research paper , at the end of your problem statement .
The main guidelines for formatting a paper in Chicago style are to:
To automatically generate accurate Chicago references, you can use Scribbr’s free Chicago reference generator .
The main guidelines for formatting a paper in MLA style are as follows:
To format a paper in APA Style , follow these guidelines:
No, it’s not appropriate to present new arguments or evidence in the conclusion . While you might be tempted to save a striking argument for last, research papers follow a more formal structure than this.
All your findings and arguments should be presented in the body of the text (more specifically in the results and discussion sections if you are following a scientific structure). The conclusion is meant to summarize and reflect on the evidence and arguments you have already presented, not introduce new ones.
The conclusion of a research paper has several key elements you should make sure to include:
Don’t feel that you have to write the introduction first. The introduction is often one of the last parts of the research paper you’ll write, along with the conclusion.
This is because it can be easier to introduce your paper once you’ve already written the body ; you may not have the clearest idea of your arguments until you’ve written them, and things can change during the writing process .
The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .
A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis —a prediction that will be confirmed or disproved by your research.
The introduction of a research paper includes several key elements:
and your problem statement
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The Scribbr Citation Generator is developed using the open-source Citation Style Language (CSL) project and Frank Bennett’s citeproc-js . It’s the same technology used by dozens of other popular citation tools, including Mendeley and Zotero.
You can find all the citation styles and locales used in the Scribbr Citation Generator in our publicly accessible repository on Github .
Why is there a need to have a clear-cut research goal in designing a study? Why is a goal important and how can it influence the research process? This article provides answers to these questions.
These are just some of the basic questions you will have to ask yourself while contemplating and narrowing down your research topic. It is a must that the issue or concern is clear enough in your head such that you can figure out specific questions for your own study.
You will face a very tedious task of doing a lot of unnecessary things, or find that your research results are unusable unless the research goal is well-defined. All efforts boil down to a particular purpose, i.e., towards fulfilling a desired effect. A clear picture of your research goal will help you steer your research work towards satisfactory completion.
A research goal focuses on the long-term outcomes of the research study.
For example, a research goal based on an issue or concern would be something like this:
Students in today’s generation get addicted to the internet , particularly the social media, that negatively impact on their academic performance because of increased bouts of depression. Real-life interactions with their peers and acquaintances suffer as they become self-centered and unmindful of others. As a result, many of the college graduates are oblivious to the need to work in a team in their jobs where social interactions are necessary to achieve the organization’s goals and objectives.
How the research goal relates to the research process.
The following fish bone diagram created using X-Mind, a mind mapping software, shows how the research goal relates to the other components of the research process.
What I mean by specific is that the research objectives should follow the elements of a SMART objective: S-specific, M-measurable, A-attainable or achievable, R-realistic, and T-timely.
Specific means you have written the research objective clear enough for everyone to understand.
Attainable , as the word connotes, tells you that you should not have more than you can chew. Write your specific objective in a way that you can achieve, perhaps with little hitches, whatever you planned to do. Can you do it with the limited resources that you have? Or, do you have the capability to do so? If your answer is yes, then by all means, go ahead.
Realistic is closely related to achieving your research objectives. Are you not dreaming of achieving the impossible or next to impossible? Bring your research objective a little down there if you do not have enough resources or enough time to carry it out.
Work expands to fill the time allotted for its completion. Parkinson’s law
In coming up with the method, you may ask yourself the following questions:
Third, designing the method entails defining the specific activities to be done and the time-frame to perform those activities.
Thus, this will need coordination with the local leaders, identifying the participants of the discussion, looking for a conducive place to hold a meeting, preparing refreshments, and so on.
How long will all these preparations take? A GANTT chart will be helpful to achieve this end.
The following questions will prove handy in preparing your GANTT chart:
Fourth, you will need to identify those people who will help you do those activities. Applying the power of delegation is a must, so you will finish your research project within a reasonable time.
Finally, identify the specific equipment or materials required to carry out your field work. Do you need a camera, recorder, measuring scale, LED projector, among others.
© 2014 April 24 P. A. Regoniel | Updated 26 February 2023
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Inclusion across the lifespan in human subjects research.
Learn about the Inclusion Across the Lifespan policy and how to comply with this policy in applications and progress reports. All human subjects research supported by NIH must include participants of all ages, including children and older adults, unless there are scientific or ethical reasons not to include them.
The purpose of the Inclusion Across the Lifespan Policy is to ensure individuals are included in clinical research in a manner appropriate to the scientific question under study so that the knowledge gained from NIH-funded research is applicable to all those affected by the researched diseases/conditions. The policy expands the Inclusion of Children in Clinical Research Policy to include individuals of all ages, including children and older adults . The policy also requires that the age at enrollment of each participant be collected in progress reports.
The Inclusion Across the Lifespan policy is now in effect, and applies to all grant applications submitted for due dates on or after January 25, 2019 . The policy also applies to solicitations for Research & Development contracts issued January 25, 2019 or later, and intramural studies submitted on/after this date. Ongoing, non-competing awards will be expected to comply with the policy at the submission of a competing renewal application. Research that was submitted before January 25, 2019 continues to be subject to the Inclusion of Children in Clinical Research Policy .
Applications and proposals involving human subjects research must address plans for including individuals across the lifespan in the PHS Human Subjects and Clinical Trial Information Form. Any age-related exclusions must include a rationale and justification based on a scientific or ethical basis. Refer to the PHS Human Subjects and Clinical Trial Information Form Instructions for complete guidance on what to address.
Scientific Review Groups will assess each application/proposal as being "acceptable" or "unacceptable" with regard to the age-appropriate inclusion or exclusion of individuals in the research project. For additional information on review considerations, refer to the Guidelines for the Review of Inclusion in Clinical Research . For information regarding the coding used to rate inclusion during peer review, see the list of NIH Peer Review Inclusion Codes .
NIH recipients/offerors must submit individual-level data on participant age at enrollment in progress reports. Age at enrollment must be provided along with information on sex or gender, race, and ethnicity in the Inclusion Enrollment Report. Units for reporting age at enrollment range from minutes to years.
: NIH Policy and Guidelines on the Inclusion of Individuals Across the Lifespan as Participants in Research Involving Human Subjects | This policy revises previous policy and guidelines regarding the inclusion of children in research. Changes to the policy include (1) the applicability of the policy to individuals of all ages, (2) clarification of potentially acceptable reasons for excluding participants on age, and (3) a requirement to provide data on participant age at enrollment in progress reports. | December 19, 2017 |
: Inclusion of Children in Clinical Research: Change in NIH Definition | For the purposes of inclusion policy, a child is defined as individuals under 18 years old. Applicants/offerors for NIH funding are still expected to justify the age range of the proposed participants in their clinical research. | October 13, 2015 |
NIH Policy and Guidelines on The Inclusion of Children as Participants in Research Involving Human Subjects | The goal of this policy is to increase the participation of children in research so that adequate data will be developed to support the treatment modalities for disorders and conditions that affect adults and may also affect children. | March 6, 1998 |
Infographic that walks through the elements of the existing dataset or resource definition to help users understand whether how it applies to their research. | August 2, 2024 | |
Report on the representation of participants in human subjects studies from fiscal years 2018-2021 for FY2018 projects associated with the listed Research, Condition, and Disease Categorization (RCDC) categories. | October 31, 2023 | |
This document describes several mock studies as examples of how to consider the Inclusion Across the Lifespan policy in study design and eligibility criteria. Examples include commentary on scientific and ethical reasons that may be acceptable or unacceptable for age-based exclusion. | September 09, 2023 | |
This one-page resource highlights allowable costs for NIH grants that can be utilized to enhance inclusion through recruitment and retention activities. Allowable costs listed in the NIH Grants Policy Statement are provided with examples of inclusion-related activities. | August 10, 2023 | |
April 20, 2022 | ||
NIH’s Inclusion Policy Officer Dawn Corbett covers inclusion plans during peer review and post-award in Part 2 of this NIH All About Grants podcast miniseries. | April 20, 2022 | |
Using the Participant-level Data Template | For research that falls under the Inclusion Across the Lifespan policy, submission of individual-level data is required in progress reports. This tip sheet serves as a quick guide for using the participant-level data template in the Human Subjects System to populate data in the cumulative (actual) enrollment table. | January 20, 2022 |
: Recruitment and Retention | Document listing resources on recruitment and retention of women, racial and ethnic minorities, and individuals across the lifespan. Resources include toolkits, articles, and more. | May 9, 2022 |
: Including Diverse Populations in NIH-funded Clinical Research | Video presentation by the NIH Inclusion Policy Officer for the NIH Grants Conference PreCon event, Human Subjects Research: Policies, Clinical Trials, & Inclusion, in December 2022. The presentation explains NIH inclusion policies and requirements for applicants and recipients. | January 27, 2023 |
- (PDF - 1.1 MB) | Report summarizing the presentations and discussions that took place during the Inclusion Across the Lifespan II Workshop on September 2, 2020. | December 10, 2020 |
: Some Thoughts Following the NIH Inclusion Across the Lifespan II Workshop | Blog post by NIH's Deputy Director of Extramural Research, Dr. Mike Lauer, highlighting the Inclusion Across the Lifespan II Workshop. | December 10, 2020 |
Entering Inclusion Data Using the Participant Level Data Template | This video tutorial demonstrates how to enter inclusion data using the Participant Level Data Template in the Human Subjects System (HSS). | February 26, 2020 |
Guidance for Applying the Inclusion Across the Lifespan Policy | At-a-glance guidance for complying with the policy in applications and progress reports. | May 3, 2019 |
The Inclusion Across the Lifespan Policy | The "All About Grants" podcast featuring an interview with the NIH Inclusion Policy Officer about the Inclusion Across the Lifespan policy. | August 27, 2018 |
HSS overview and training information | As of June 9, 2018, the Human Subjects System (HSS) replaced the Inclusion Management System (IMS). Similar to IMS, HSS is used by NIH staff, grant applicants, and recipients to manage human subjects information, including inclusion information. | May 25, 2018 |
The Inclusion Across the Lifespan Policy | Blog post by Dr. Mike Lauer, Deputy Director of Extramural Research, and Dawn Corbett, NIH Inclusion Policy Officer, titled Understanding Age in the NIH Portfolio: Implementation of the NIH Inclusion Across the Lifespan Policy | November 13, 2018 |
Inclusion Across the Lifespan | Summary report from the Inclusion Across the Lifespan workshop held June 1-2, 2017 | July, 2017 |
DHSR One pager of resources for external users
Have additional questions? Contact your program officer or the Inclusion policy team: [email protected]
Nih research matters.
September 24, 2024
At a glance.
The mechanisms that lead to depression are poorly understood. Depression symptoms aren’t constant, but often come and go, making them difficult to study. Previous brain imaging studies have shown only modest differences between people with and without depression. Yet few imaging studies have tracked individuals with depression over time.
A brain imaging technique called precision functional mapping uses functional magnetic resonance imaging (fMRI) to analyze the connectivity or activation of different brain areas. This has revealed variations in the size, shape, and location of brain areas and networks across healthy people.
A research team led by Drs. Charles Lynch and Conor Liston at Weill Cornell Medicine used precision functional mapping to analyze brain networks in people with depression and healthy controls. Some of the people with depression were scanned dozens of times over several months. This allowed the researchers to observe changes over time associated with mood shifts. Results appeared in Nature on September 4, 2024.
The team began by mapping networks over time in six people with major depression and 37 healthy controls. They found that the salience network, which includes brain regions in the frontal cortex and striatum, was almost twice as large on average in people with depression. This network is involved in reward processing and determining what to pay attention to. The size of the salience network did not change over time in people with or without depression. Nor did it relate to depression symptoms in people with depression.
To confirm that a larger salience network is associated with depression, the team mapped brain networks in 135 more people. In this larger group, the salience network was significantly larger than in healthy controls. The enlarged salience network led to a decrease in the size of neighboring networks.
These results suggested that an enlarged salience network might be associated with the risk of developing depression. To find out, the researchers analyzed data from the Adolescent Brain Cognitive Development study. Fifty-seven children in this study didn’t have depression symptoms initially but developed them by age 13 or 14. The team found that children who later developed depression had larger salience networks than those who never developed depression.
Further study showed that the strength of connectivity between certain parts of the salience network changed over time. These changes correlated with the timing of depressive symptoms. In one person, connectivity changes preceded depressive symptoms by up to a week.
The results suggest that expansion of the salience network may predispose people to depression. They also suggest that changes in functional connectivity within this network may drive mood changes in people with depression.
However, challenges remain for using this information to predict depression. “For years, many investigators assumed that brain networks look the same in everybody,” Lynch says. “But the findings in this work build on a growing body of research indicating that there are fundamental differences between individuals.”
Future work will be needed to assess whether the patterns seen in this study are specific for depression or shared with other psychological disorders. Analysis of the salience network may have potential value in the clinic. The knowledge gained in this study might also help guide the development of novel prevention and treatment strategies.
—by Brian Doctrow, Ph.D.
References: Frontostriatal salience network expansion in individuals in depression. Lynch CJ, Elbau IG, Ng T, Ayaz A, Zhu S, Wolk D, Manfredi N, Johnson M, Chang M, Chou J, Summerville I, Ho C, Lueckel M, Bukhari H, Buchanan D, Victoria LW, Solomonov N, Goldwaser E, Moia S, Caballero-Gaudes C, Downar J, Vila-Rodriguez F, Daskalakis ZJ, Blumberger DM, Kay K, Aloysi A, Gordon EM, Bhati MT, Williams N, Power JD, Zebley B, Grosenick L, Gunning FM, Liston C. Nature . 2024 Sep;633(8030):624-633. doi: 10.1038/s41586-024-07805-2. Epub 2024 Sep 4. PMID: 39232159.
Funding: NIH’s National Institute of Mental Health (NIMH) and National Institute on Drug Abuse (NIDA); Hope for Depression Research Foundation; Foundation for OCD Research; Wellcome Leap; Deutsche Forschungsgemeinschaft.
Although numerous studies have explored the causes and consequences of intrinsic and extrinsic life goals, the developmental trend of life goals during adolescence has not been well understood. To address this research gap, this study explored the developmental changes of the pursuit of intrinsic and extrinsic goals during early, middle, and late adolescence, and examined the relation between life goals and internalizing/externalizing problems from a developmental perspective. A total of 4703 Chinese adolescents from primary ( N = 1819, 47.8% girls, M age T1 = 9.34, SD age T1 = 0.58), middle ( N = 1525, 47.5% girls, M age T1 = 12.47, SD age T1 = 0.59), and high school ( N = 1646, 51.9% girls, M age T1 = 15.45, SD age T1 = 0.65) participated in this two-year, three-wave longitudinal study. The results revealed that the pursuit of intrinsic goals increased among primary school students, but decreased among middle and high school students. Conversely, the pursuit of extrinsic goals exhibited a consistent increase among adolescents in primary, middle, and high school. Girls have higher initial levels of intrinsic goals than boys in primary school, and boys’ intrinsic goals declined faster than girls’ in middle school. Additionally, the initial level and developmental rate of intrinsic goals among three developmental stages were significantly associated with internalizing/externalizing problems, with lower initial level, slower growth rate, and faster decline rate being associated with more internalizing and externalizing problems. The significant association between the initial level and developmental rate of extrinsic goals and internalizing/externalizing problems were mainly observed among late adolescents, with higher initial level and growth rate being associated with more internalizing and externalizing problems. These findings delineate the differences in developmental trends between intrinsic and extrinsic goals, underscore the robust relation between intrinsic goals and internalizing/externalizing problems, and figure out the development-stage differences in the relation between extrinsic goals and internalizing/externalizing problems.
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We thank the adolescents who participated in this study and the research assistants who assisted with the data collection.
This research was supported by the National Natural Science Foundation of China [Grant number: 31971011].
The data that support the findings of this study are openly available at the Open Science Framework ( https://osf.io/4fsxw/?view_only=d4d4ff6b04d84a91b03972152902e92c ).
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Peng Sun & Jingxin Zhao
Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Institute of Developmental Psychology, Beijing Normal University, 100875, Beijing, China
Chenxi Liu & Yu Kou
School of Education and Psychology, Southwest Minzu University, Chengdu, 610041, China
Xiaonan Yao
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PS conceived of the study, participated in its design and coordination, performed the statistical analyses and interpretation of the data, and drafted the manuscript; CL participated to design and coordination, and helped to draft the manuscript; XY participated to perform the measurement and helped to interpret the data; JZ conceived of the study, helped to interpret the data and draft the manuscript; YK conceived of the study, participated in its design and coordination and helped to draft the manuscript. All authors read and approved the final manuscript.
Correspondence to Jingxin Zhao or Yu Kou .
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Sun, P., Liu, C., Yao, X. et al. Developmental Trajectories of Intrinsic and Extrinsic Goals From Early to Late Adolescence and the Association with Internalizing and Externalizing Problems. J. Youth Adolescence (2024). https://doi.org/10.1007/s10964-024-02092-6
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Research study designs are of many types, each with its advantages and limitations. The type of study design used to answer a particular research question is determined by the nature of question, the goal of research, and the availability of resources. Since the design of a study can affect the validity of its results, it is important to ...
State the Purpose of Your Study: Clearly state the main objective of your research. You may want to state the purpose as a solution to the problem or gap you've previously identified. ... The significance of a study in a research proposal refers to the importance or relevance of the research question, problem, or objective that the study aims ...
In summary, while the aim of a research study represents the broad goal or purpose, objectives are specific statements that outline the steps necessary to achieve that aim. Understanding the difference between aims and objectives helps in creating a clear and structured research plan, ensuring that the study remains focused and aligned with its ...
A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement. A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis—a prediction that will be confirmed or disproved by your research.
A clear picture of your research goal will help you steer your research work towards satisfactory completion. A research goal focuses on the long-term outcomes of the research study. Once the research goal is clear enough for the researcher to proceed, the rest of the things you need to do will fall into place.
Directions: For each research proposal below, write which research method is best aligned with the goals of the proposal/data desired and your rationale. Mention two pros and two cons for each. 1) A researcher wants to uncover the lived experiences of mothers who had a "rainbow" baby- a baby conceived after miscarriage.
Purpose. The purpose of the Inclusion Across the Lifespan Policy is to ensure individuals are included in clinical research in a manner appropriate to the scientific question under study so that the knowledge gained from NIH-funded research is applicable to all those affected by the researched diseases/conditions. The policy expands the Inclusion of Children in Clinical Research Policy to ...
National Academies of Sciences, Engineering, and Medicine (Ed.). (2018). How people learn II: Learners, contexts, and cultures: Committee on How People Learn II: the science and practice of learning: board on behavioral, cognitive, and sensory sciences: board on science education: division of behavioral and social sciences and education: a consensus study report of the National Academies of ...
A research team led by Drs. Charles Lynch and Conor Liston at Weill Cornell Medicine used precision functional mapping to analyze brain networks in people with depression and healthy controls. Some of the people with depression were scanned dozens of times over several months. ... Further study showed that the strength of connectivity between ...
Theory of shared leadership has suggested that this informal source of team leadership is highly dynamic and changes over time. We draw on this assumption and provide new insights about the nature of short‐term changes in shared leadership. Additionally, we advance the nomological network of shared leadership by examining the within‐team relations of day‐level shared leadership with ...
Although numerous studies have explored the causes and consequences of intrinsic and extrinsic life goals, the developmental trend of life goals during adolescence has not been well understood. To address this research gap, this study explored the developmental changes of the pursuit of intrinsic and extrinsic goals during early, middle, and late adolescence, and examined the relation between ...
Research into magnetic resonance imaging (MRI) for prostate cancer screening and diagnosis has been ongoing for more than a decade. Initially, MRI was thought to be important for achieving two goal...