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Narrow an interdisciplinary topic around a specific problem, not by simply removing disciplines. Keep the disciplinary perspectives, concepts, or methods whose integration is necessary to answer the focused question.
Read Guide →A global problem does not require a global-sized study. Identify one consequential part of the larger problem that can be observed and investigated credibly within a defined population, setting, mechanism, outcome, or decision.
Read Guide →A broad topic may need to become a research program when its important questions require different studies, methods, populations, stages, or evidence that cannot be combined credibly in one project. The goal is a coherent sequence, not simply a collection of related papers.
Read Guide →Funding potential can reasonably influence which of two strong research ideas you pursue, particularly when external resources would materially improve feasibility. But a question does not become scientifically stronger merely because it fits a funding opportunity.
Read Guide →You do not always have to choose permanently between several related research ideas. When the questions address a coherent larger problem and can build evidence cumulatively, they may form a research program, but one focused study is usually the better starting point when resources are limited or the connections among the questions are weak.
Read Guide →A research topic tells you what area you want to study. A research problem identifies the specific issue, uncertainty, gap, or difficulty within that area that gives you a reason to conduct the study.
Read Guide →An issue becomes a research problem when there is a specific, evidence-supported uncertainty, difficulty, contradiction, or limitation that matters and can meaningfully be investigated. Being interesting, unusual, or understudied is not enough by itself.
Read Guide →Stakeholders may agree that a situation matters while disagreeing about what the underlying problem actually is. The disagreement can become evidence that helps you frame a more defensible research problem rather than an obstacle you must eliminate.
Read Guide →A research problem is important enough to study when resolving it could make a meaningful difference to knowledge, decisions, practice, policy, methods, or an affected population. Importance is not determined by topic size or novelty alone.
Read Guide →No single group should automatically have the greatest say in every research-priority decision. Researchers contribute scientific expertise, while affected communities, practitioners, policymakers, funders, and other stakeholders may hold knowledge and legitimate interests that researchers alone cannot supply.
Read Guide →A topic that looks understudied within your discipline may already have a substantial evidence base elsewhere. Before claiming a gap, examine whether neighboring fields have answered the underlying question.
Read Guide →A research gap can be completely genuine and still be too small to justify a study. The key question is not how much literature is missing, but whether resolving the uncertainty would make a meaningful contribution.
Read Guide →A large literature does not necessarily mean that every important question has been answered. An important research gap may remain when existing evidence is unreliable, inconsistent, indirect, incomplete, or unable to resolve a consequential uncertainty.
Read Guide →A research question is too broad when answering it would require more populations, concepts, contexts, evidence, or analyses than one study can reasonably handle. Learn how to recognize excessive scope and narrow a question without losing what makes it worth studying.
Read Guide →A main question and subquestions are useful when one overarching question defines the study but answering it requires several connected lines of inquiry. Subquestions should divide the main question into meaningful parts, not introduce unrelated questions or duplicate an interview guide.
Read Guide →Your research question can and often should change as you review the literature. Reading may reveal that the question has already been answered, is too broad, rests on weak assumptions, uses imprecise concepts, or overlooks a more important gap. Before data collection, such refinement is usually part of developing the study rather than evidence that something has gone wrong.
Read Guide →A research question can address an important problem yet remain too vague to determine what evidence a study actually needs. The solution is usually not to abandon the important question, but to make its intended inquiry explicit enough to guide research.
Read Guide →A research question needs enough detail to define what the study is asking, but greater specificity is not automatically better. Detail becomes counterproductive when it adds restrictions that do not clarify the scientific question or unnecessarily narrow what the study can learn.
Read Guide →Two research questions can belong in the same study when they address a coherent research problem and can be answered through a compatible design, population, data collection strategy, and analytical plan. Sharing participants or data alone is not enough.
Read Guide →Original research does not have to investigate something nobody has ever studied. Learn how to evaluate whether your idea adds enough useful knowledge to justify a study.
Read Guide →An interesting research question holds your attention; an important one produces knowledge worth having. The strongest projects usually combine genuine curiosity with a defensible contribution.
Read Guide →A research question becomes easier to justify when you can explain who might need its answer and why. Learn how to identify research users, beneficiaries, and other stakeholders without assuming every study needs an immediate practical application.
Read Guide →A timely research question responds to an important change, emerging uncertainty, or decision that needs evidence now. A trend-driven question merely follows whatever topic currently attracts attention without establishing why another study is needed.
Read Guide →An interesting research question is not necessarily one you can answer. Learn how to test whether a question is realistically researchable with the participants, data, time, skills, access, and resources available to you.
Read Guide →Finding the right variable name in a dataset is only the beginning. You also need to determine whether the variable was operationalized, measured, coded, and timed in a way that can support the claim your research question requires.
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