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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 →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 →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.
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 →A research question becomes too narrow when its boundaries make the study manageable but remove so much uncertainty, variation, significance, or applicability that answering it contributes little. The goal is not maximum breadth, but a focused question whose answer still matters.
Read Guide →Consequential exclusions should usually be explained when readers need the rationale to understand or evaluate the study. The explanation should identify why the population or variable was excluded and what that decision means for the evidence and conclusions.
Read Guide →A study's scope can sometimes change after research has begun, but the later the change occurs, the more carefully its methodological, ethical, analytical, and reporting consequences must be considered. Legitimate revisions should be documented transparently rather than rewritten as though they had always been planned.
Read Guide →Knowing a research method well is a genuine advantage, but familiarity should not be the main reason you choose it. The method must first be capable of producing the evidence needed to answer your research question.
Read Guide →A worthwhile study does not always need a completely new question. Learn how to decide whether your research should test an existing claim again or investigate something genuinely different.
Read Guide →Replication may be more useful than starting something new when an important claim remains uncertain and another independent test could materially improve what researchers know. The strongest replication targets combine meaningful consequences with unresolved evidence.
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 →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 →Adding a variable does not automatically turn a replication into an extension. The key question is what the variable does: does it help you retest the original claim, or does it introduce an additional claim that the original study never examined?
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 →One successful replication does not permanently settle a scientific claim. Another replication can still be valuable when important uncertainty remains, although its value depends on what new evidence the additional study can provide.
Read Guide →A famous finding can be worth replicating, but fame is not a sufficient reason to choose it. A stronger replication target is usually a claim for which reducing uncertainty would meaningfully improve knowledge or decisions in the field.
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