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Starting with a preferred method is not automatically wrong, but the final study should not exist merely to give that method something to do. A defensible research question must matter independently and require evidence the chosen method can appropriately provide.
Read Guide →The ideal method for a research question may be beyond your current resources, expertise, access, or institutional capacity. The solution is not automatically to abandon the question or substitute whatever method is convenient, but to determine what can change without changing what the study actually claims to answer.
Read Guide →Research questions often need refinement once practical constraints become clear. The problem begins when adaptation no longer makes the original question feasible but instead replaces it with a different, less meaningful question simply because it fits the method you can use.
Read Guide →Qualitative analysis can be labor-intensive, but that is not sufficient reason to replace a qualitative question with a quantitative one. Time should influence the feasibility and scope of a study without determining what kind of evidence the research question requires.
Read Guide →A replication asks whether prior evidence or a previous claim holds up under another test. An extension moves beyond that prior work to investigate something additional, although a single study can deliberately do both.
Read Guide →Using a different population does not automatically make your research a new study. The key question is whether you are testing the same scientific claim in a new population or whether the population change creates a meaningfully different research question.
Read Guide →A replication does not need a completely new research question to make a contribution. A strong justification explains which existing claim remains uncertain, why resolving that uncertainty matters, and how the new study provides evidence the literature does not yet have.
Read Guide →A methodologically weak study can deserve replication, especially when its claim matters and remains influential. The challenge is deciding whether repeating the original design would test the finding or merely reproduce the weakness that made the evidence uncertain.
Read Guide →Original data can be extremely useful when planning and interpreting a replication, but replication normally generates new data rather than reanalyzing the original dataset. The more important question is whether the published methods and available materials provide enough information to conduct an interpretable new test.
Read Guide →A failed replication does not necessarily end the scientific question. Another replication can be valuable when it can distinguish among plausible explanations for the disagreement rather than merely adding a third result to an unresolved dispute.
Read Guide →A literature full of studies does not necessarily need another dataset. When existing evidence has never been synthesized properly, the first research gap may be a synthesis gap rather than a data gap.
Read Guide →Another primary study is not always the best way to reduce uncertainty. When sufficiently comparable studies already exist, meta-analysis may provide a more precise and informative answer, but only if pooling them is methodologically defensible.
Read Guide →Heterogeneity does not automatically mean that more primary research is needed. Another study is most useful when it can test a plausible source of variation that existing evidence cannot resolve.
Read Guide →Studies do not have to be identical to be synthesized, but they must be comparable in ways that matter to the research question. When differences undermine a meaningful common inference, statistical pooling may be inappropriate even though systematic review remains possible.
Read Guide →International evidence does not automatically remove the need for local research. A new study is most defensible when local conditions create meaningful uncertainty about whether existing findings apply, how they apply, or what decision should follow.
Read Guide →A local context does not need to be dramatically different before another study is justified. What matters is whether a specific difference could plausibly change the finding, mechanism, implementation, interpretation, or decision.
Read Guide →Cultural differences can justify new research when a specific cultural process could plausibly change the phenomenon, measurement, intervention, or interpretation. Simply saying that cultures differ is not enough.
Read Guide →Studying another population improves fairness when it changes who can shape, contribute to, or benefit from the evidence, not simply when another demographic category appears in the sample. The relevant question is what inequity the research actually addresses.
Read Guide →A population does not become unworthy of research because conventional sample-size targets cannot be reached. The study design, analytical strategy, and strength of the claims should instead reflect the amount and type of evidence the population can realistically provide.
Read Guide →Researchers can create harm when they define a population mainly by what it supposedly lacks, does poorly, or needs fixed. Deficit framing can shape research questions, measurements, interpretations, and public narratives in ways that obscure strengths and structural conditions.
Read Guide →Political controversy alone is not a sound reason to abandon a research question. The better test is whether the question has scholarly value and can be investigated rigorously, ethically, safely, and with sufficient independence.
Read Guide →Sometimes resistance to a research question may reveal that meaningful interests, assumptions, or consequences are at stake. But opposition is not evidence that a question is important: an unwanted question still has to earn its scientific value.
Read Guide →A research question can create problems before a participant answers it. Framing may embed stereotypes, define a community through deficits, presuppose contested claims, or generate social risks that require both methodological and ethical scrutiny.
Read Guide →A research question may be important and methodologically sound yet still be infeasible because the necessary participants, records, settings, or observations cannot be accessed. The key question is whether available evidence can still support the inference the study intends to make.
Read Guide →A good thesis research question is not simply a large research project compressed into fewer months. It must produce a defensible contribution while fitting the student's time, resources, access, expertise, and degree requirements.
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