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

Contact Info

1607, FEU Tech Building,
P. Paredes St, Sampaloc,
Manila, Philippines
mbgarcia@feutech.edu.ph

Follow Me

Is the Research Problem Real and Supported by Evidence?

A plausible research problem is not necessarily an established one. Before designing a study, verify that credible evidence supports the problem, uncertainty, or phenomenon you intend to investigate.

733
Is the Research Problem Real? Guide 733 of 760
01 · The Question

How Do You Know Whether a Research Problem Actually Exists?

Many studies begin with a reasonable observation: students seem disengaged, a technology appears underused, practitioners report difficulties, an intervention seems ineffective, or a process appears inefficient. Such observations can generate excellent research ideas. The trouble begins when an observation quietly becomes an established fact.

Before building a study around a problem, you need to ask what evidence shows that the problem actually exists in the form you have described. Is it documented in prior research? Does credible empirical evidence reveal the pattern? Could your initial impression reflect an isolated case, measurement problem, selective observation, or an assumption repeated so often that it has acquired the appearance of evidence?

This check comes early because everything downstream depends on it. A carefully designed study can still rest on a poorly established premise.

02 · The Short Answer

A Research Problem Should Be Demonstrated, Not Merely Asserted

In Brief

A research problem is sufficiently supported when credible evidence establishes that the condition, uncertainty, inconsistency, limitation, or unexplained phenomenon you intend to investigate genuinely exists.

The required evidence depends on the kind of problem and the claim you are making. Published studies may be central, but administrative data, surveillance records, systematic reviews, policy documents, validated assessments, or other appropriate sources can also establish a problem when they directly support it.

03 · What You Need to Know

What Counts as Evidence That a Research Problem Is Real?

A research problem is not simply a topic that interests you. It identifies something about the current state of knowledge, practice, outcomes, systems, or theory that warrants investigation. Depending on the study, the problem might involve an undesirable condition, unresolved uncertainty, conflicting findings, inadequate explanation, methodological limitation, or inability to make an important decision confidently.

The evidence needed to establish that problem should therefore match the problem you are claiming.

Separate the Observation From the Claim

Suppose you notice that several students struggle with an online learning platform. That observation is real as an observation. It does not yet establish that students generally struggle with the platform, that the platform caused the difficulty, or that the difficulty produces poorer learning outcomes.

Each of those is a progressively stronger claim requiring correspondingly appropriate evidence.

Observation You noticed, experienced, or encountered something that may deserve investigation.
Established research problem Appropriate evidence indicates that the condition or uncertainty exists beyond the initial impression in the form relevant to the proposed study.

Your observation can be the beginning of the inquiry. It should not automatically become its evidentiary conclusion.

Match the Evidence to the Type of Problem

Different problems require different forms of support. If you claim that a condition is prevalent, evidence about prevalence is relevant. If you claim that previous findings conflict, the relevant studies must actually demonstrate meaningful disagreement. If the problem concerns uncertainty about an intervention's effectiveness, evidence should establish that existing studies do not already resolve that uncertainty adequately.

Claimed problem Evidence that may support it What to avoid assuming
A condition is common Representative surveys, surveillance data, administrative records, or suitable empirical studies That several visible cases establish prevalence
Research findings are inconsistent Direct comparison of relevant studies or a suitable synthesis of the evidence That different numerical results necessarily constitute contradiction
A practice is ineffective Evidence that appropriately evaluates relevant outcomes That dissatisfaction or anecdotal failure demonstrates ineffectiveness
An important relationship is poorly understood Literature showing unresolved explanations, uncertain mechanisms, or insufficient evidence That absence of a familiar explanation means no explanation exists
A local problem exists Appropriate institutional, community, organizational, or other context-specific evidence That evidence from another setting automatically describes your own

Look for Convergence Rather Than a Convenient Citation

One paper that appears to support your premise may not be enough, particularly when you are making a broad claim. Read the surrounding literature. Check whether multiple credible sources point toward the same problem, whether evidence is recent enough for the claim, and whether findings apply to the population or context you intend to discuss.

Convergence does not mean that every study must agree. Disagreement itself can sometimes constitute the research problem. What matters is accurately representing the state of the evidence rather than selecting whichever source makes the proposed study easiest to justify.

Check Whether the Evidence Supports the Exact Wording of Your Problem

Problem statements frequently become stronger than their citations. A study showing that some teachers report concerns about artificial intelligence does not establish that teachers are “unprepared to use AI.” Evidence of an association between two variables does not establish that one causes the other. Data from one institution do not automatically demonstrate a national problem.

Read each important sentence in your problem statement and ask: What exactly does the cited evidence allow me to say?

This is partly an exercise in calibration. Your wording should not outrun your evidence.

Negative Evidence and Uncertainty Can Also Define the Problem

Not every research problem involves something demonstrably going wrong. Sometimes the problem is uncertainty itself. Existing studies may produce estimates too imprecise for an important decision, plausible theories may make competing predictions, or available evidence may not distinguish among alternative explanations.

In such cases, you do not need to prove that one explanation is correct before conducting the study. You need to establish that the uncertainty is genuine and consequential enough to investigate.

Evidence of a Problem Is Not Yet Evidence That Another Study Is Needed

This distinction is essential. Establishing that a problem exists answers one question. Establishing that new research should be conducted answers another.

A problem can be real while its solution is already well understood. It can be real but primarily require implementation rather than further research. It can also be genuine yet too minor to justify the costs and burdens of another study.

Once the existence of the problem is established, the next test is whether the problem is important enough to investigate and whether the apparent gap survives a sufficiently complete search.

Watch Out

Do not manufacture urgency by exaggerating the evidence. Words such as “widespread,” “critical,” “increasing,” “ineffective,” and “severe” are empirical claims when used to describe a research problem. Use them only when the available evidence warrants them.

04 · A Practical Example

From a Plausible Problem to an Evidence-Supported Problem

Hypothetical Example

Are Students Really Struggling With Online Feedback?

A researcher teaching an undergraduate course notices that students often submit revisions without addressing written feedback. The initial problem statement is: “University students do not effectively use instructor feedback when revising their work.”

Initial observation Several students in one course appear not to act on feedback. This is enough to generate a question, but not enough to support the broad problem statement.
Check existing research The researcher examines relevant studies and reviews on students' engagement with feedback, including evidence about whether students understand, interpret, and implement comments during revision.
Check the local context Because the proposed study concerns a particular institutional setting, the researcher examines appropriate local evidence rather than assuming that findings elsewhere describe the local population.
Calibrate the claim The evidence does not justify saying that university students generally “do not effectively use feedback.” It does support a narrower concern about variation in how students interpret and act on feedback during revision.
Reframe the problem The researcher now has a more defensible starting point: there is evidence of difficulty translating feedback into revision decisions, but the processes underlying that difficulty remain insufficiently understood in the context being investigated.

The revised problem may sound less dramatic. That is a strength. A narrower claim that accurately represents the evidence provides a firmer foundation for research than an impressive claim the literature cannot sustain.

05 · What Researchers Often Get Wrong

Common Ways Researchers Overstate the Existence of a Problem

Misconception

Personal Experience Is Enough to Establish the Problem

Experience can identify something worth examining, particularly in practice-based research. It usually cannot establish prevalence, causation, magnitude, or generality by itself. Treat experience as a source of questions unless the research problem is explicitly about that bounded experience.

Misconception

One Supporting Citation Proves the Claim

A citation is not a magic evidentiary stamp. Its relevance depends on what was studied, how the evidence was obtained, which population was examined, and what conclusions the study actually supports. Broad claims often require broader examination of the evidence base.

Misconception

A Problem Elsewhere Must Also Exist in My Setting

Evidence from another country, institution, profession, or population may provide a reason to investigate your setting. It does not automatically establish that the same condition exists there. Contextual transfer should be argued rather than assumed.

Misconception

A Literature Gap Is the Same as a Research Problem

The fact that a particular combination of variables, population, or setting has not been studied does not itself demonstrate a problem. You still need to explain what uncertainty or limitation follows from that absence and why resolving it could matter.

Misconception

The Problem Statement Should Sound as Serious as Possible

Its job is accuracy, not drama. Overstating frequency, consequences, or certainty can weaken the rationale because the study begins from claims its own evidence does not support.

06 · What This Means for You

Audit the Problem Before Building the Study Around It

Take the central claims in your proposed problem statement and test them individually. You are looking for a defensible chain between what you say is happening and the evidence showing that it is happening.

A simple decision framework

If credible evidence directly supports the problem as stated
Proceed to evaluate its importance, the remaining gap, and whether further research is justified.
If the evidence supports only a narrower claim
Narrow the problem statement to match what can actually be defended.
If evidence is mixed or contradictory
Represent the disagreement accurately. The unresolved inconsistency may itself become the research problem.
If the problem is based mainly on anecdote or assumption
Gather stronger preliminary evidence or reconsider whether the study's premise is sufficiently established.
If existing evidence already resolves the underlying uncertainty
Ask whether existing evidence already answers enough of the question before proposing another study.

This process may alter the research idea substantially. That is precisely why it should happen early. Finding that your original premise was too broad is much cheaper before participant recruitment than after it.

07 · A Quick Checklist

Can You Defend the Existence of the Research Problem?

Before treating the problem as established, check:
Can I state the problem precisely enough that its existence could actually be evaluated?
Do credible sources directly support the central factual claims in my problem statement?
Have I distinguished personal observations from evidence about a broader population or phenomenon?
Does the evidence concern a sufficiently relevant population, context, outcome, and time period?
Have I examined evidence that could contradict or qualify my initial interpretation?
Does my wording avoid causal, prevalence, or severity claims stronger than the evidence permits?
Can I distinguish evidence that the problem exists from evidence that another study is needed?
08 · Frequently Asked Questions

Questions About Establishing a Research Problem

Can personal experience identify a valid research problem?

Yes. Experience can reveal patterns, anomalies, or practical difficulties worth investigating. What it supports depends on the claim, however. An observation may justify asking a question without establishing that the observed condition is widespread or has the cause you suspect.

Do I need published journal articles to prove that a problem exists?

Not exclusively. The appropriate source depends on the problem. Government statistics, institutional records, surveillance systems, policy documents, systematic reviews, administrative data, or other credible evidence may be more informative for some claims. Use sources suited to what you are trying to establish.

What if previous studies disagree about whether the problem exists?

Do not conceal the disagreement. Determine whether differences arise from populations, definitions, measurements, designs, time periods, or genuine uncertainty. Properly characterized disagreement can itself provide a defensible research problem.

Can a research problem be based on something we do not know?

Yes. A research problem can concern consequential uncertainty rather than a harmful condition. The important task is to establish that the uncertainty genuinely remains and that resolving it could provide useful knowledge.

What if I cannot find strong evidence for my original problem?

Do not force the evidence to fit it. Narrow the claim, gather appropriate preliminary evidence, reconsider the premise, or investigate whether the uncertainty itself is the more defensible problem.

09 · The Bottom Line

Do Not Build a Study on an Assumed Problem

The Bottom Line

A research problem is ready to support a study only when appropriate evidence justifies the central claim that the problem, limitation, inconsistency, or uncertainty actually exists.

Let the strength and scope of the evidence determine how strongly you describe the problem. Once its existence is defensible, you can ask the separate and harder question of whether it matters enough to justify investigation.

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.

Has the Field Guide helped your research?

If a guide helped clarify a question, inform a research decision, or move your work forward, I would love to hear about your experience. Your story may also help other researchers discover the Field Guide.

Share Your Experience
Takes only a few minutes