Manuel B. Garcia

Manuel B. Garcia serves as the Senior Director for Educational Technology and Digital Learning at FEU Institute of Technology, Manila, Philippines. Read More

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If a Reviewer Asked “Why Does This Study Need to Exist?”, Can You Give a Convincing Answer?

A convincing research justification should survive one deceptively simple question: why does this particular study need to exist? The answer requires more than novelty, a literature gap, or an interesting topic.

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Why Does This Study Need to Exist? Guide 757 of 760
01 · The Question

Can You Explain the Need for the Study Without Retreating Into “Nobody Has Done It Before”?

Imagine that you have five minutes left in a proposal defense. A reviewer has read the literature review, understands the methods, and accepts that the study is technically feasible.

Then comes the question that can make an otherwise polished proposal suddenly feel much less polished:

“Why does this study need to exist?”

You could answer that the topic is timely. You could say that few studies have examined the issue in your country. You might point out that no previous study has combined exactly these variables, used this framework, or studied this population.

Those statements may establish difference. They do not necessarily establish need.

A convincing answer should connect a real and important problem to a consequential limitation in current knowledge, then show how the proposed study can reduce that limitation in a way existing evidence and realistic alternatives do not already accomplish adequately.

02 · The Short Answer

You Should Be Able to Explain What Is Lost if the Study Is Never Conducted

In Brief

A study has a convincing reason to exist when an important uncertainty remains in the current evidence, resolving that uncertainty could meaningfully improve knowledge or decisions, and the proposed study is capable of providing sufficiently distinct and informative evidence to justify its costs and burdens.

The strongest rationale does not stop at “this has not been studied.” It explains what cannot currently be understood, concluded, estimated, tested, or decided adequately because the evidence is missing and why this study is an appropriate next step.

03 · What You Need to Know

What Makes an Answer to “Why Does This Study Need to Exist?” Convincing?

Review frameworks often evaluate several components that collectively answer this question. The current NIH Simplified Review Framework, for example, asks whether a project addresses an important knowledge gap or critical problem, whether the scientific premise justifies undertaking the study, and whether the expected outcomes would advance knowledge, methods, or practice. These criteria are designed for a particular funding context, but the reasoning travels well.

A study's justification is strongest when problem, uncertainty, contribution, and design form one continuous argument.

Start With the Problem, Not the Study

A weak justification begins with what the researcher wants to do:

“This study will examine the relationship between X and Y among university students.”

A stronger justification begins with what cannot currently be understood or decided adequately and why that limitation matters.

Perhaps institutions are adopting a technology without reliable evidence about an important consequence. A widely accepted theoretical explanation cannot distinguish between competing mechanisms. Existing estimates are too uncertain to support a consequential decision. A measurement problem compromises interpretation across an entire body of research.

The study becomes necessary because it responds to that unresolved problem, not because the researcher has assembled variables that can be analyzed.

Establish That the Problem Is Real

Importance cannot rescue a problem that exists mainly in the introduction.

If you claim that students increasingly rely on AI-generated information without verifying it, that claim needs evidence. If you argue that existing assessment practices are failing, demonstrate the failure. If you describe conflicting findings, verify that the literature genuinely conflicts rather than selectively citing studies with different conclusions.

Before explaining why the study is needed, confirm that the research problem itself is supported by evidence.

Identify What Existing Evidence Cannot Yet Tell Us

The next part of the answer concerns uncertainty.

Do not merely say that few studies exist. State what researchers cannot conclude because of the limitation in existing evidence.

Weak gap statement Few studies have examined AI-generated feedback among students in this setting.
Stronger uncertainty statement Existing studies cannot determine whether students' apparent benefits from AI-generated feedback arise from the feedback itself or from pre-existing differences in who chooses to use it.

The second statement identifies a limitation that a study can be designed to resolve.

Show That the Gap Is Genuine

A reviewer can reasonably ask whether the uncertainty exists because the literature truly lacks the evidence or because the researcher has not searched broadly enough.

Relevant work may use different terminology, appear in adjacent disciplines, study comparable populations, or answer the substantive question through another methodological tradition.

Your rationale becomes more defensible when the research gap survives a serious attempt to find evidence that would eliminate it.

Explain Why the Remaining Uncertainty Matters

A genuine gap is still not enough.

Suppose no study has examined whether students prefer a particular icon to be two pixels larger in one rarely used menu. That could be a genuine absence in the literature. Its existence does not make another study necessary.

Finish the gap statement with a consequence: because we do not know this, what important interpretation, explanation, prediction, method, or decision remains weaker than it should be?

This is the difference between identifying a gap and establishing that the gap is important enough to fill.

Explain What Your Study Changes

Now describe the expected contribution without assuming a favorable result.

What becomes possible after the study?

Perhaps the evidence will distinguish two explanations, estimate an important quantity more precisely, test whether a finding survives a theoretically consequential condition, evaluate a measurement assumption, or establish whether an intervention produces effects large enough to matter.

A contribution framed this way remains meaningful even when the results differ from expectations.

Show Why Existing Evidence Is Not Already Enough

A reviewer may agree that uncertainty remains but still ask whether it is consequential enough to warrant another study.

Scientific conclusions do not require perfect certainty. If existing evidence already supports the relevant conclusion across the plausible remaining range, further research may add little.

Explain why existing evidence does not yet answer enough of the question for the purpose that matters.

Explain Why This Study Is the Appropriate Next Study

Even an important unanswered question does not automatically justify your design.

Could a systematic review answer it better? Could existing data provide stronger evidence? Would a longitudinal design resolve temporal ambiguity that your cross-sectional study leaves untouched? Could a smaller feasibility study answer the prerequisite uncertainty before a definitive evaluation is attempted?

Your rationale should therefore explain not only why more evidence is needed, but why this particular evidence is an appropriate next step.

Do Not Use Local Novelty as a Substitute for Need

“No study has examined this at University X” is one of the easiest rationales to construct because nearly every institution can be made novel.

Local evidence can be important. Institutional policies, populations, implementation conditions, language, resources, or cultural context may make findings from elsewhere uncertain or insufficient for a local decision.

State that mechanism explicitly. Without it, geographic novelty may establish where the study occurs rather than why the study needs to occur.

Do Not Use Methodological Novelty as a Substitute Either

A new analytical technique, machine-learning model, mixed-methods design, or instrument can create a distinct study. The question remains what that novelty allows researchers to learn.

If a simpler existing method already answers the consequential question adequately, methodological sophistication may not provide a reason for another study.

Your Answer Should Survive an Unsupported Hypothesis

Try explaining why the study needs to exist without saying what you expect to find.

If the rationale collapses unless X significantly predicts Y or the intervention produces the expected improvement, the study's value may depend too strongly on confirmation.

A stronger justification concerns the uncertainty itself. Whether the effect is large, small, absent under the tested conditions, or different from what was expected, credible evidence should change what can reasonably be concluded.

Your Answer Should Also Survive an Inconvenient Result

Imagine that the effect is smaller than anticipated or that the evidence narrows uncertainty without completely resolving it.

Would the study still improve knowledge enough to justify the resources and participant burden? If not, the rationale may rely on a best-case outcome rather than the realistic informational value of the project.

Scientific Need and Feasibility Are Separate

A compelling question may deserve to be answered while your proposed project remains incapable of answering it.

Do not respond to “Why does this study need to exist?” with feasibility alone: “because we have access to the participants,” “because the data are available,” or “because we can complete it within one semester.” Those facts explain why the study can be done, not why it should be.

Likewise, scientific importance does not remove the need to verify feasibility.

Try the One-Paragraph Test

You should eventually be able to justify the study in one coherent paragraph without relying on slogans.

The structure is roughly this:

There is an important problem. Existing evidence leaves a specific consequential uncertainty. That uncertainty matters because something important cannot currently be understood, concluded, or decided adequately. The proposed study provides evidence capable of reducing that uncertainty in a way current evidence and realistic alternatives do not. The resulting knowledge would matter across plausible outcomes.

The paragraph does not replace the literature review. It tests whether the literature review has produced an argument.

Watch Out

If your answer to “Why does this study need to exist?” consists mainly of “there are limited studies,” “this population is understudied,” or “no previous research has combined these variables,” keep going. Those statements identify possible opportunities. They do not yet explain the consequence of leaving the question unanswered.

04 · A Practical Example

From “Nobody Has Done This Here” to a Convincing Research Rationale

Hypothetical Example

Why Study Students' Evaluation of AI-Generated Feedback?

A researcher proposes studying university students' use of AI-generated formative feedback. The first justification is that no previous study has examined the issue at the researcher's university.

Initial answer “The study is needed because generative AI is increasingly important and no previous study has investigated AI-generated feedback among students at this institution.”
Reviewer response Why should the institution change what is already known from students elsewhere?
Return to the evidence The researcher finds that existing studies primarily examine satisfaction, intention to use AI, and performance outcomes. Much less evidence shows how students determine whether specific AI-generated feedback is credible enough to act upon.
Identify the consequential uncertainty Without understanding that evaluation process, apparent benefits from AI feedback are difficult to interpret because students may accept inaccurate suggestions, reject useful feedback, or use the system differently depending on their evaluative skills.
Identify the study's contribution The proposed design observes students' decisions when evaluating and revising work in response to feedback with systematically varied characteristics, allowing the study to investigate which cues shape acceptance and rejection.
Revised justification The study is needed not because the university has never been sampled, but because existing evidence does not adequately explain how students judge whether AI-generated academic feedback should be trusted and used, despite that judgment being central to whether such feedback can support learning responsibly.

The revised argument could survive a change of institution because its justification resides in the unresolved knowledge rather than the postcode of the participants.

05 · What Researchers Often Get Wrong

What Sounds Like a Research Justification but Usually Is Not Enough?

Misconception

Nobody Has Done Exactly This Before

Uniqueness establishes difference. Need requires explaining what important uncertainty remains because the study has not been done and what becomes possible by resolving it.

Misconception

The Topic Is Timely

Timeliness can increase relevance, but fashionable or rapidly changing topics can still generate redundant studies. Specify what timely decision, explanation, or uncertainty requires evidence now.

Misconception

The Population Is Understudied

Underrepresentation can be consequential, particularly when existing evidence may not generalize or when equitable knowledge requires direct evidence. Explain what cannot currently be inferred because the population is missing rather than treating absence alone as sufficient.

Misconception

The Study Uses a Novel Method

Methodological novelty matters when it improves measurement, inference, explanation, prediction, or another research capability. A new technique does not justify a study if it answers an already sufficient question no better than existing approaches.

Misconception

The Study Will Add to the Literature

Almost every completed study adds something to the literature. The relevant issue is whether it adds knowledge that meaningfully changes what the literature allows researchers or others to understand or decide.

06 · What This Means for You

Build the Justification as a Chain, Not a Collection of Claims

Write five statements in sequence:

Problem → remaining uncertainty → consequence of uncertainty → evidence this study provides → value of knowing.

If one statement does not logically lead to the next, that is where the rationale needs work.

A simple decision framework

If the rationale begins mainly with novelty
Identify what consequential uncertainty exists because the evidence is missing.
If the gap is genuine but its consequences are vague
Specify what cannot currently be understood, explained, estimated, tested, or decided adequately.
If the uncertainty matters but the proposed design does not address it directly
Redesign the study or choose another approach capable of generating the required evidence.
If existing evidence already supports the relevant conclusion sufficiently
Identify another consequential uncertainty rather than manufacturing a narrower gap.
If the justification remains compelling across several plausible results
The study has a stronger information-based rationale because its value does not depend solely on obtaining the preferred outcome.

Then try explaining the study to someone who does not benefit professionally from its completion. A particularly useful version of that test comes next: if a participant asked why their time is worth giving to the study, could you answer convincingly?

07 · A Quick Checklist

Can You Defend Why the Study Needs to Exist?

Before presenting the rationale to a reviewer, check:
Can I identify the real and important problem that motivates the study?
Can I state precisely what current evidence still cannot tell us?
Have I established that this uncertainty survives a sufficiently thorough examination of existing evidence?
Can I explain why leaving the uncertainty unresolved has meaningful consequences?
Does the proposed study provide evidence capable of reducing the specific uncertainty identified?
Have I considered whether existing evidence or another study could answer the question adequately instead?
Would the contribution remain useful if the results differ from what I expect?
Can I explain the rationale without relying primarily on novelty, timeliness, or local absence?
08 · Frequently Asked Questions

Questions About Justifying Why a Study Is Needed

Is a research gap enough to justify a study?

No. A gap establishes that something remains unknown or inadequately understood. You still need to explain why resolving that uncertainty matters and why the proposed study is capable of producing sufficiently valuable evidence.

Is being the first study enough to establish significance?

No. Being first establishes a form of novelty. Significance depends on what important limitation the study addresses and what researchers or relevant stakeholders can understand or decide better because the evidence exists.

Can local evidence justify a study?

Yes, when local conditions create consequential uncertainty about whether existing evidence applies or when direct evidence is needed for a meaningful local decision. Explain the contextual mechanism rather than relying on geographic absence alone.

How short should my answer to “Why does this study need to exist?” be?

You should be able to give a concise answer in a paragraph or brief spoken explanation, even though the complete justification may require substantial supporting literature. If the core logic cannot be stated simply, the rationale may not yet be conceptually clear.

Should the answer mention the methodology?

Only enough to explain why the proposed evidence can resolve the identified uncertainty. The justification should not become a methods summary. The central issue is why the knowledge is needed and why this study can provide it.

What if the reviewer still disagrees that the study is necessary?

Determine where the disagreement lies. It may concern whether the problem is important, whether the gap is genuine, whether existing evidence is already sufficient, whether your study can reduce the uncertainty, or whether the expected knowledge is worth the required resources. Those are substantive disagreements that should be addressed with evidence rather than stronger adjectives.

09 · The Bottom Line

A Study Needs More Than a Gap; It Needs a Consequence for Leaving the Gap Unresolved

The Bottom Line

A convincing reason for a study to exist connects an important problem to a consequential unresolved uncertainty and shows that the proposed research can reduce that uncertainty enough to improve what can be understood, concluded, tested, or decided.

Do not stop at “nobody has done this.” Explain what we still cannot know because it has not been done, why that limitation matters, and why your study is an appropriate and proportionate way to change the current state of knowledge.

10 · Sources and Further Reading

Sources and Further Reading

11 · Cite this Guide

How to Cite This Guide

This guide is intended to be read, shared, and used in research, teaching, and academic work. If you draw on its ideas, explanations, or other content, please acknowledge the source by citing the guide. Doing so gives appropriate credit and helps your readers locate the original resource.

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