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A study can use an established research design correctly and still fail to answer the question that motivated it. Learn how to identify mismatches between research purpose, evidence, methodology, and conclusions before they undermine your study.
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 →Research findings may depend on the circumstances in which they arise. Learn when contextual evidence is necessary, which conditions deserve investigation, and how context influences the interpretation and applicability of findings.
Read Guide →An intervention can achieve its intended outcome while creating additional burdens or unintended consequences. Learn when harms and benefits must be investigated together, how to select appropriate measures, and why favorable effectiveness findings may not settle whether an intervention is worthwhile.
Read Guide →Using quantitative and qualitative methods together does not automatically improve a study. Learn when mixed methods addresses a genuine evidentiary need, how integration should work, and when one well-designed approach is more defensible.
Read Guide →Access to surveys, interviews, institutional records, and other data can create opportunities for mixed-methods research, but availability alone is not a methodological rationale. Learn how to assess whether existing datasets address a shared research problem, can be integrated meaningfully, and justify the additional analytical complexity.
Read Guide →Combining quantitative and qualitative approaches can strengthen research, but only when integration contributes meaningfully to the intended answer. Learn when one carefully executed method is more defensible than two poorly connected approaches, how to recognize superficial integration, and what to prioritize when selecting a research design.
Read Guide →Cohort and case-control studies can investigate relationships between exposures and outcomes, but they organize the evidence differently. Cohort studies begin from exposure or cohort membership and examine outcomes, while case-control studies begin with outcome status and investigate prior exposures.
Read Guide →Phenomenology, ethnography, grounded theory, and narrative research are not interchangeable labels for interview-based qualitative studies. Each organizes the inquiry around a different purpose, from understanding lived experience to culture, explanatory processes, or stories.
Read Guide →When you collect data affects what relationships, changes, and temporal patterns your study can observe. The number, sequence, and spacing of measurements should follow the process your research question is trying to understand.
Read Guide →Using interviews and observations, or several other data collection techniques, does not automatically make a study mixed methods. What matters is the methodological nature of the evidence and how the different components are designed, analyzed, and related.
Read Guide →Data triangulation changes where or from whom the evidence comes; methodological triangulation changes how the phenomenon is investigated. A study can use either one, both, or neither.
Read Guide →More sources, methods, or measures can strengthen a study when they address different limitations or provide genuinely useful evidence. Simply adding more, however, does not make weak evidence strong.
Read Guide →Representation asks whether relevant people or groups are present in research. Representativeness asks how adequately the sample reflects a defined target population for the inference being made.
Read Guide →The same broad research topic can often be studied cross-sectionally or longitudinally, but the two designs do not answer exactly the same question. Changing the temporal structure changes what evidence is available and therefore what conclusions the study can support.
Read Guide →A mixed-methods study needs more than separate quantitative and qualitative analyses. Planning integration before data collection helps ensure the two strands can actually be combined to answer a question that neither would address as fully alone.
Read Guide →A research protocol should contain enough information to explain why the study is being conducted and exactly how it will be carried out. Its contents should reflect the study design and applicable requirements rather than a universal template.
Read Guide →A coherent research protocol creates an explicit chain from the research problem to the questions or objectives and then to the design, evidence, and analysis. Every major methodological choice should help answer a stated question rather than merely appearing reasonable on its own.
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 →You can sometimes change a research design after data collection has started, but the timing, reason, consequences, and documentation of the change matter. The key is to adapt transparently without quietly redefining the study around what the emerging data appear to show.
Read Guide →Recruitment problems do not automatically mean that a study has failed. Diagnose why recruitment is falling short before changing the strategy, because some solutions can alter the sample, introduce bias, or change the study itself.
Read Guide →Unplanned research changes should leave a reconstructable trail rather than disappearing into the final methods section. Record what was planned, what changed, why and when it changed, who made the decision, what information was available, and what consequences followed.
Read Guide →Case study research investigates a clearly bounded case in depth and in relation to its real-world context. Studying one person, classroom, institution, event, or site does not automatically make a project a case study because the design depends on how the case is defined and investigated.
Read Guide →Mixed methods research requires more than collecting qualitative and quantitative data in the same project. The defining issue is whether the components are deliberately related and integrated to produce an understanding that neither component would provide independently.
Read Guide →A study does not become mixed methods simply because its dataset contains both numbers and words. What matters is whether substantive qualitative and quantitative components are intentionally designed, analyzed, and integrated to address the research problem.
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