A worthwhile study should not depend entirely on confirming the result you hope to find. Ask what would be learned if the main hypothesis is unsupported and whether the design can distinguish informative evidence from simple uncertainty.
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Every research design depends on assumptions about participants, data, measurement, implementation, analysis, and logistics. The dangerous assumptions are those that are both uncertain and capable of undermining the study if they prove wrong.
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Uncertainty does not need to reach zero before further research becomes unnecessary. Before collecting new data, ask whether existing evidence already supports the relevant conclusion or decision well enough.
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Participants are not raw material for a research project. Before asking for their time, information, effort, or privacy, make sure you can explain why their contribution is necessary and what worthwhile knowledge it could help produce.
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Detailed study design should begin only after the core logic of the research idea is sufficiently stable. A serious unresolved problem with the question, evidence, contribution, feasibility, or ethics can make methodological planning premature.
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You usually need some engagement with the literature before finalizing a research question, but you do not necessarily need a complete literature review first. In many studies, searching, reading, and question development proceed iteratively.
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A literature search can legitimately change your research question when it reveals better terminology, existing evidence, conceptual problems, feasibility constraints, or a more meaningful problem. The key is to distinguish evidence-informed refinement from arbitrary or outcome-driven changes.
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A search strategy is more than a list of keywords. It is a deliberate plan connecting your research question to searchable concepts, appropriate terminology, information sources, query structure, and decisions about how the search will be tested and documented.
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Not every literature search needs to be systematic. The appropriate level of rigor depends on what the search is supposed to accomplish, how the literature will be used, and how strongly your conclusions depend on identifying the relevant evidence.
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Systematic, reproducible, and comprehensive describe different qualities of literature searching. A search can be reproducible without being comprehensive, systematic without achieving perfect coverage, or extensive without being sufficiently documented to reproduce.
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More searching is not automatically better searching. A literature search can become disproportionately comprehensive when additional sources and search routes add substantial workload without meaningfully improving the evidence needed for the question.
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A collection of individually relevant papers can still misrepresent a field if the search systematically favors some evidence over other evidence. Relevance tells you whether a paper belongs; it does not tell you whether the literature you found represents the evidence you needed to see.
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Knowing many papers gives you familiarity with individual studies. Understanding a literature means you can explain how those studies relate, where evidence converges or conflicts, what methods shape the findings, and what remains uncertain.
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A thesis or dissertation needs a defensibly thorough literature search, not an impossible search for every publication. Learn what adequate coverage looks like and when you can reasonably stop searching.
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A journal article needs enough literature searching to support its claims and position its contribution accurately, but not every article requires an exhaustive search. The appropriate depth depends on what the paper is trying to establish.
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Before designing a new study, search far enough to understand what is already known and how previous researchers investigated the problem. The goal is not exhaustive retrieval but preventing avoidable design errors and unnecessary research.
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A research protocol needs enough literature searching to justify why the study should be conducted and why its methods are appropriate. The required depth depends on the study, its risks, and the claims the protocol makes about existing evidence.
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A research gap is a claim about what the existing literature does not adequately know or explain, so it requires more than failing to find a paper in an initial search. Search broadly enough to test the proposed gap against alternative terminology, evidence, and explanations.
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A quick exploratory search is often enough when your goal is orientation rather than a definitive claim about the literature. Use it to learn terminology, locate key papers, test feasibility, and decide what kind of searching should come next.
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A good research question is written to express what you want to know, not necessarily how a database stores that knowledge. Learn how to translate your question into searchable concepts without losing its meaning.
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Not every concept in a research question should automatically become a required search term. Learn how to decide which concepts belong in your search and which may make it unnecessarily restrictive.
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For systematic reviews, eligibility criteria should normally be defined before the formal search and study-selection process. Preliminary searching can still help you understand the literature and refine defensible criteria before they are finalized.
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Study designs should usually be considered before a structured literature search, but the right designs depend on the question being asked. Deciding what evidence can answer the question is different from automatically filtering the database by study-design labels.
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Subject-specific and multidisciplinary databases serve different purposes in literature searching. Learn how their coverage, indexing, and search features differ and when your research may benefit from using one or both.
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Google Scholar and Google search different information environments. Learn when Google Scholar is better for scholarly literature, when regular Google is more useful, and how researchers can use both strategically.
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