Search across guide titles, topics, keywords, and content throughout the Researcher's Field Guide.
Showing 151–175 of 576 results
A research question can appear perfectly clear to its author while allowing another researcher to design a substantially different study around the same wording. Testing how others interpret the question can expose ambiguity before it spreads into the design, measurement, and analysis.
Read Guide →Before choosing a questionnaire, dataset, interview protocol, or experiment, you should be able to describe what evidence would actually answer the research question. That specification creates the bridge between the question and the study design.
Read Guide →A study should not need a statistically significant result in the expected direction to count as successful. Testing what you would regard as a successful outcome before collecting data can reveal whether the research question is genuinely open to evidence.
Read Guide →Two research questions can belong in the same study when they address a coherent research problem and can be answered through a compatible design, population, data collection strategy, and analytical plan. Sharing participants or data alone is not enough.
Read Guide →Two related research questions may still belong in separate studies when they pursue different scientific purposes, require substantially different designs, or cannot both be answered rigorously within one coherent project.
Read Guide →Several research questions can involve the same participants without constituting one study. Study boundaries depend primarily on the research questions and design, although consent, ethics, data use, and transparent reporting must also be considered.
Read Guide →A secondary question becomes distracting when it no longer supports the study's primary purpose and begins competing for conceptual, methodological, analytical, or interpretive attention.
Read Guide →Available data can inspire worthwhile research questions, but availability alone is not a sufficient reason to add one. The question still needs scientific value, suitable evidence, and an honest analytical rationale.
Read Guide →A collaborator's interest can reveal a valuable research question, but interest alone is not enough to justify adding it. The question should strengthen the study, fit its design, and be answerable without compromising its primary purpose.
Read Guide →Exploratory questions can be specified before data collection when they are scientifically worthwhile but not appropriate for strong confirmatory claims. Planning them can improve measurement and transparency without turning exploration into confirmation.
Read Guide →There is no universal maximum number of secondary research questions. A study can support only as many as it can answer coherently and rigorously without compromising its primary purpose, evidence, analysis, or feasibility.
Read Guide →A study becomes part of a research program when the scientific problem requires a coordinated sequence of distinct investigations rather than one design attempting to answer every important question at once.
Read Guide →A thesis can contain more than one research question when the questions address connected aspects of one research problem and can be answered rigorously within the scope, resources, and requirements of the degree.
Read Guide →A dissertation may be stronger as several linked studies when its major questions require different designs, populations, stages, or forms of evidence but still contribute to one coherent doctoral research problem.
Read Guide →A thesis or dissertation usually needs an appropriate contribution for its degree level, not a completely unprecedented topic. The required kind and degree of originality depend on your institution, discipline, program, and assessment criteria.
Read Guide →Testing an existing finding in a new population can make an original contribution when the population difference matters to the claim being tested. Simply changing participants, location, or demographic group does not automatically make a study original enough.
Read Guide →Using an established method does not prevent a study from being original. Applying it to a new problem can make a genuine contribution when the application answers an unresolved question, reveals new evidence, or requires a meaningful adaptation.
Read Guide →Using a new dataset can support original research, but the dataset's newness is not enough by itself. The stronger contribution comes from what the data allow you to test, estimate, discover, compare, or understand that existing evidence could not adequately establish.
Read Guide →A study can be genuinely novel and still not be worth doing. Newness matters only when the research also addresses a worthwhile question and can produce sufficiently credible, useful, or consequential knowledge.
Read Guide →You do not need to call your study “groundbreaking” or claim it is the first to make its contribution clear. The strongest novelty statements show what previous research establishes, what remains unresolved, what your study does differently, and why that difference matters.
Read Guide →Studying a population that better reflects the people to whom findings are meant to apply can be a genuine contribution. Its value depends on whether representation resolves a consequential limitation in the existing evidence.
Read Guide →A new study does not need to be completely unprecedented, but it should make a meaningful contribution beyond what is already known. Learn how to judge whether that contribution is sufficient to justify the study.
Read Guide →More published studies do not necessarily mean that a research question has been adequately answered. Judge whether the existing evidence is good enough by examining its certainty, consistency, precision, relevance, and remaining uncertainty.
Read Guide →A larger sample can justify repeating an existing study when additional observations resolve an important limitation in the evidence. Size alone, however, does not correct bias, weak measurement, confounding, or a question that has already been answered adequately.
Read Guide →A well-studied question may still warrant another investigation when existing designs cannot adequately rule out important alternative explanations. Better control is a contribution when it materially changes what the evidence allows researchers to infer.
Read Guide →