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There is no universal maximum number of secondary research questions. A study can support only as many as it can answer coherently and rigorously without compromising its primary purpose, evidence, analysis, or feasibility.
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 →Research does not have to investigate something nobody has ever studied before. Originality can come from the question, evidence, context, method, interpretation, or contribution a study makes to existing knowledge.
Read Guide →Novelty, originality, and contribution are related, but they are not interchangeable. Understanding the distinction helps you evaluate a research idea and explain precisely what your study adds.
Read Guide →Testing an existing finding in a new population can make an original contribution when the population difference matters to the claim being tested. Simply changing participants, location, or demographic group does not automatically make a study original enough.
Read Guide →Using an established method does not prevent a study from being original. Applying it to a new problem can make a genuine contribution when the application answers an unresolved question, reveals new evidence, or requires a meaningful adaptation.
Read Guide →Using a new dataset can support original research, but the dataset's newness is not enough by itself. The stronger contribution comes from what the data allow you to test, estimate, discover, compare, or understand that existing evidence could not adequately establish.
Read Guide →Research does not have to invent every idea from scratch. Combining existing theories, concepts, methods, evidence, or perspectives can make a genuine contribution when the combination produces something meaningfully different from what the individual elements already provide.
Read Guide →Discovering that someone has already conducted a very similar study does not automatically mean you should abandon yours. Compare the studies carefully, determine what the earlier research actually answered, and decide whether your project can still add meaningful evidence or needs to change.
Read Guide →A study can be genuinely novel and still not be worth doing. Newness matters only when the research also addresses a worthwhile question and can produce sufficiently credible, useful, or consequential knowledge.
Read Guide →A new study does not need to be completely unprecedented, but it should make a meaningful contribution beyond what is already known. Learn how to judge whether that contribution is sufficient to justify the study.
Read Guide →More published studies do not necessarily mean that a research question has been adequately answered. Judge whether the existing evidence is good enough by examining its certainty, consistency, precision, relevance, and remaining uncertainty.
Read Guide →A different population can justify another study when the population difference matters to the research question, the expected effect, or the application of existing evidence. Simply changing who participates does not automatically create a meaningful research gap.
Read Guide →A different setting can justify another study when features of the new environment could plausibly change the phenomenon, intervention, implementation, or applicability of existing findings. Changing location alone is not enough.
Read Guide →A different method can justify another study when it provides access to evidence, explanations, or inferences that existing methods cannot adequately provide. Methodological novelty alone is not enough.
Read Guide →Research does not need to be radically novel to be valuable. Incremental research is worth doing when a modest extension meaningfully strengthens, tests, refines, or extends the evidence rather than merely reproducing what is already known.
Read Guide →Finding an unanswered question does not automatically mean you need new data. Sometimes the missing contribution is a new primary study; in other cases, the more useful research is to synthesize evidence that already exists.
Read Guide →When substantial research already exists, the next useful contribution may be to synthesize it rather than collect another dataset. A systematic review can clarify what the evidence collectively shows and what research is still genuinely needed.
Read Guide →A research question does not need to solve a major problem to be worth studying. Learn how to judge its importance by asking what the answer could change, clarify, challenge, or enable.
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 →Research does not have to solve a practical problem to make a meaningful contribution. It may instead describe something important, improve explanation, test assumptions, refine theory, strengthen methods, or establish what we do and do not know.
Read Guide →A research question can begin with a highly local problem and still have broader value. The key is identifying what others can learn from the case, which features are context-specific, and how cautiously the findings can travel beyond the original setting.
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 →A practical problem can urgently need attention without automatically creating a strong academic research question. The challenge is to identify what remains genuinely uncertain and what studying the problem can contribute beyond solving one immediate case.
Read Guide →A research question is valuable to answer not simply because its answer is unknown, but because knowing the answer may improve consequential decisions. Learn how uncertainty, consequences, decision change, and research costs determine the practical value of new knowledge.
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