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The strongest study on paper is not always the strongest study you should conduct. Learn how to distinguish necessary rigor from unnecessary ambition and design research that is both credible and realistically completable.
Read Guide →The scope of a research study defines the territory the investigation actually covers. Depending on the study, this may include the population, setting, timeframe, variables or phenomena, context, and other boundaries needed to show exactly what the research addresses.
Read Guide →Narrowing the scope can improve a study when it removes unnecessary complexity while preserving what is needed to answer the research question. The goal is not a smaller study for its own sake, but a more coherent match among the question, evidence, methods, and claims.
Read Guide →One study begins to look like several when its questions require substantially independent populations, evidence, methods, analyses, or conceptual rationales and no longer need to be answered together. Related questions can belong to the same research program without being forced into a single study.
Read Guide →Direct and conceptual replications do not simply differ in how much of the original method they copy. They can address different evidential questions: whether a finding recurs under closely similar conditions or whether the underlying claim survives a meaningfully different test.
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 →Being the first to study a topic at your university establishes institutional novelty, not necessarily a meaningful research gap. The stronger question is why evidence from that institution is actually needed.
Read Guide →A problem does not need international visibility to deserve research attention. Local importance, evidence gaps, consequences, tractability, equity, and the needs of affected communities may provide stronger reasons for prioritization than global popularity.
Read Guide →A research question can be scientifically important and widely studied internationally yet have limited relevance to a particular setting. Local priority depends on the problem, context, evidence need, and decisions the research could inform.
Read Guide →A research question does not become interdisciplinary simply because several fields could contribute to it. The stronger test is whether answering the question adequately requires knowledge, concepts, methods, or perspectives that no single discipline can reasonably supply on its own.
Read Guide →Combining disciplines does not automatically make a research question stronger. Interdisciplinarity adds value when integration helps answer the question more adequately than a well-designed disciplinary approach could.
Read Guide →The same research problem may be described with different terminology across disciplines, making relevant literature surprisingly difficult to find. A strong cross-disciplinary search translates the problem into concepts, disciplinary vocabularies, controlled terms, and alternative expressions before combining the results.
Read Guide →The study you first imagine is not necessarily the best way to answer your research question. Compare alternative designs by the evidence they can produce, the assumptions they require, and the time, participants, data, and resources they consume.
Read Guide →A gap in the literature does not automatically justify another study. Before collecting new data, determine whether existing evidence already answers the important question with enough confidence that your proposed study would change very little.
Read Guide →Methodological rigor cannot rescue a study whose underlying question has little consequence. Before optimizing methods, researchers should ask what uncertainty the study resolves and why resolving it would matter.
Read Guide →A research question becomes too trivial when answering it would add so little useful knowledge that conducting a study is difficult to justify. The issue is not whether the contribution is small, but whether it meaningfully reduces uncertainty or advances understanding.
Read Guide →Funding can make important research possible, but the availability of money does not make every eligible question worth studying. A strong project should remain defensible even when the funding opportunity is removed from its rationale.
Read Guide →Data collection is a major commitment point in a research project. Before it begins, finalize the decisions that determine who or what will be studied, what evidence will be collected, how it will be collected and protected, and how that evidence will answer the research question.
Read Guide →You do not need every detail settled before designing a study, but you do need enough clarity about the question, evidence, population, feasibility, and constraints to make defensible design choices.
Read Guide →A promising research idea is not automatically ready for study design. Before proceeding, test whether the problem, question, contribution, evidence needs, and practical conditions are sufficiently defensible.
Read Guide →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.
Read Guide →A research problem can be genuine without being important enough to justify another study. Evaluate what would change if the problem were better understood and whether that knowledge warrants the cost of obtaining it.
Read Guide →Not finding a study is not the same as establishing a research gap. Before building a study around missing evidence, test whether the gap survives broader searching, alternative terminology, adjacent literature, and closer examination of what is already known.
Read Guide →A research question should do more than describe what interests you. It should be precise enough to constrain the study, identify relevant evidence, and keep the methods aligned with what you actually want to know.
Read Guide →Research scope is a balancing problem. A study needs enough focus to be completed rigorously within real constraints without becoming so narrow that answering it adds little meaningful knowledge.
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