Search across guide titles, topics, keywords, and content throughout the Researcher's Field Guide.
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Extending a finding makes sense only when the finding is sufficiently credible to build on. Replication may be more useful when the reliability, magnitude, or robustness of the existing result remains an important unresolved question.
Read Guide →A study does not need to change the existing answer to make an important contribution. When consequential uncertainty remains, better evidence about how confidently we can trust an answer may be exactly what the research literature needs.
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 →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 contribution does not have to transform a field to be worthwhile. Small contributions can strengthen, refine, extend, or correct existing knowledge, but there is an important difference between incremental research and research that adds almost nothing.
Read Guide →Publication prospects are a legitimate consideration when choosing research, especially when publication matters for your degree or career. But a question should not become worth studying merely because it appears easy to publish.
Read Guide →Some research topics are more likely to attract citations than others, but citation potential is an imperfect proxy for research importance. It can inform research strategy, yet it should not determine which questions you consider worth answering.
Read Guide →Sometimes the important finding is that an expected change does not occur. But “nothing happens” becomes informative only when the study could have detected something meaningful if it were really there.
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 research question can make a legitimate scholarly contribution while having little immediate practical importance. The key is distinguishing intellectual value from practical relevance and judging the study according to the contribution it actually claims to make.
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 →The best research question is rarely the one that maximizes a single criterion. Learn how to weigh scientific contribution, practical relevance, and genuine personal interest while accounting for feasibility, ethics, and the purpose of your research.
Read Guide →A research question may be interesting and answerable yet still have limited value if knowing the answer would change very little. Assess its potential value by asking what could become different once the uncertainty is reduced.
Read Guide →A smaller answerable question is often preferable to an important question that your study cannot credibly answer, but feasibility should not become an excuse for studying trivial questions. The better choice is usually the most consequential question you can answer well with the resources and methods realistically available.
Read Guide →A research question can be important and answerable yet still not justify the resources required to resolve it. The relevant comparison is between the expected value of better information and the full cost of obtaining it, including what those resources could accomplish elsewhere.
Read Guide →Research can be valuable even when reducing uncertainty would not change today's best decision. Better evidence may strengthen confidence, improve estimates, test assumptions, support future decisions, or advance scientific understanding, although these benefits do not automatically justify another study.
Read Guide →Greater precision can improve scientific knowledge without improving an immediate decision. Its value depends on what the added precision could change, how the evidence may be used, and whether those benefits justify obtaining it.
Read Guide →A population may be large while the number of people who actually satisfy your study's criteria is surprisingly small. Learn how to estimate the eligible pool before recruitment begins.
Read Guide →Knowing that the right population exists is not enough if you have no legitimate and workable way to reach its members. Identify where access breaks down before changing the population or abandoning the research question.
Read Guide →An inaccessible population does not automatically mean abandoning your research question. First determine whether the same question can be studied through another route, setting, population, design, or source of evidence without changing what you actually want to know.
Read Guide →A more accessible population is not necessarily an adequate substitute for the population your research question requires. The key is whether the substitution changes the phenomenon, comparison, context, or inference at the center of the study.
Read Guide →A university may own the equipment, software, laboratory, or service your study needs without making it practically available to you. Learn how to verify access, capacity, reliability, technical support, and timing before building your research around institutional resources.
Read Guide →A research question does not necessarily need to become smaller because one researcher lacks every skill required to answer it. Sometimes collaboration preserves the stronger question, but only when the collaborator solves a genuine feasibility problem and can be integrated realistically into the study.
Read Guide →Every research study needs boundaries. Learn how to define what your study covers, justify what it deliberately excludes, and distinguish delimitations from limitations you cannot fully control.
Read Guide →Scope describes what your study covers, delimitations are boundaries you deliberately set, and limitations are constraints or weaknesses that affect what your study can establish. Learn how to tell them apart without treating every boundary as a flaw.
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