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Choosing a research design before identifying the evidence your question requires can produce a methodologically sound study that answers the wrong question. Learn how to work from the intended claim to the necessary evidence before committing to a design.
Read Guide →A research design does not become appropriate simply because it is widely used in your discipline. Learn how to distinguish established methodological conventions from the evidence your question actually requires, and when departing from familiar approaches is justified.
Read Guide →Reviewers may recommend adding interviews, surveys, or another methodological component to make a study more comprehensive. Learn when such recommendations address genuine evidentiary limitations, when they introduce unnecessary complexity, and how to respond with a defensible methodological rationale.
Read Guide →Measuring outcomes too early may miss an intervention's effects, while measuring too late can introduce competing explanations. Learn how to select post-intervention assessment times that match the outcome, intervention mechanism, and research question.
Read Guide →Separate trials can establish whether individual interventions work, but they may not reveal how those interventions perform together. Learn which additional questions a factorial design can answer, when separate trials remain appropriate, and why interaction claims require careful planning.
Read Guide →A multi-arm trial can compare several interventions within one coordinated study, often reducing duplicated recruitment and allowing treatments to share a control group. Learn when this approach is more efficient, how multiplicity affects inference, and when separate two-arm trials remain preferable.
Read Guide →A baseline is a reference point established before the change, intervention, or follow-up of interest. It can be essential for some questions, useful for others, and unnecessary when the study does not depend on measuring a starting condition.
Read Guide →Conceptual frameworks can strengthen qualitative research, but they can also influence what interviewers ask and what participants feel expected to say. Learn how to use theory without imposing its assumptions on participants' accounts.
Read Guide →A representative sample is meaningful only in relation to a specified population. Learn what representativeness actually requires, how researchers assess it, and why not every worthwhile study needs a statistically representative sample.
Read Guide →Data collection methods make different trade-offs between depth, breadth, standardization, and flexibility. Understanding those trade-offs can help you choose a method that fits what your research question actually needs.
Read Guide →Preregistration creates a time-stamped record of important research decisions before the relevant results are known. Its main value is making it easier to distinguish advance plans from decisions influenced by the data.
Read Guide →Preregistration records what you planned before seeing the relevant results; it does not require you to follow a flawed or impractical plan forever. Changes can be legitimate when they are disclosed, justified, and interpreted appropriately.
Read Guide →A protocol describes how you plan to conduct a study; preregistration creates a time-stamped record of research decisions before the relevant results are known. The same document can sometimes serve both purposes, but the concepts are not interchangeable.
Read Guide →Preregistration can make important research decisions more transparent and encourage advance planning, but it cannot turn weak methods into strong ones. A preregistered study still needs to be evaluated on its design, measurement, sampling, analysis, execution, and interpretation.
Read Guide →Preregistration establishes a documented research plan, but it does not prohibit justified changes. Learn which decisions require particular consistency, what may be amended, and how to preserve the distinction between planned and revised analyses.
Read Guide →Preregistration records important research decisions before the results are known, while Registered Reports add peer review before the study is completed. Neither requires researchers to predict everything perfectly or abandon legitimate changes and exploration.
Read Guide →Preregistration records a study plan before the relevant results are known. A Registered Report adds prospective journal peer review and in-principle acceptance, making publication less dependent on how the results turn out.
Read Guide →Registered Reports offer peer review of research questions and methods before the main results are known, but the format is not suitable for every project. Learn when to consider submitting one, what preparation is required, and how to determine whether the benefits justify the commitments.
Read Guide →In-principle acceptance provides a conditional publication commitment before a Registered Report's main results are known, but it is not an unconditional guarantee. Learn what the commitment protects, which Stage 2 requirements remain, and when publication may still be declined.
Read Guide →Registered Reports are designed to make publication decisions less dependent on whether findings support the original hypotheses. Learn how null and unexpected results are evaluated, why nonsignificance does not establish no effect, and what researchers must report after in-principle acceptance.
Read Guide →A Registered Report's approved protocol may need to change when recruitment, measurement, or implementation problems arise. Learn when amendments are justified, when editorial consultation is necessary, and how to preserve in-principle acceptance through transparent reporting.
Read Guide →Registered Reports are not inherently limited to quantitative experiments. Qualitative and mixed-methods researchers can use the format when journals support their methodologies and prospective review can evaluate meaningful research commitments without eliminating justified flexibility.
Read Guide →Changes to research SOPs require approval proportionate to their scientific, ethical, and operational consequences. Learn which decisions can be authorized within the research team, when additional ethics or institutional review is necessary, and how to implement revised procedures without compromising the approved study.
Read Guide →A research protocol benefits from review by people who can evaluate its scientific logic, methods, analysis, feasibility, and ethical implications. The right reviewers depend on the study, and formal ethics review should not be confused with the broader methodological review a protocol may need.
Read Guide →Research protocols should establish consequential decisions before data collection, but not every operational action can or should be predetermined. Learn how to distinguish fixed methodological commitments from routine discretion, define prospective decision rules, and manage justified changes transparently.
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