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One study can contain more than one research design when different components require distinct structures yet remain meaningfully integrated around a common research problem. Multiple methods, phases, or questions, however, do not automatically mean multiple designs.
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 →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 →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 →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 →Sequential mixed methods places one component before another when the later component needs something from the earlier findings. Concurrent approaches collect qualitative and quantitative evidence during roughly the same phase when neither component must wait for the other.
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 →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 →The strongest research design is not necessarily the most complex one. Choose the simplest design that can answer the research question credibly, and add complexity only when it produces information or protection against bias that matters to the intended inference.
Read Guide →Research stakeholders are people, groups, or organizations with a meaningful stake in the research, its conduct, its findings, or decisions informed by those findings. Who counts depends on the particular study, not on a universal list.
Read Guide →Community-based participatory research (CBPR) is a collaborative approach in which researchers and community partners work together across the research process. It emphasizes equitable partnership, co-learning, community strengths, locally relevant problems, and connecting knowledge with action.
Read Guide →Participatory research changes who contributes to producing knowledge and how influence is distributed across the research process. It does not abandon research rigor or require every decision to be made collectively.
Read Guide →Communities can help identify, develop, refine, and prioritize research questions, particularly when lived or local knowledge is important to deciding what deserves investigation. Community priorities still need to be translated into feasible, ethical, and scientifically answerable research questions.
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 →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.
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 →There is no universal number of participants that makes a quantitative study adequately powered. Learn what determines sample size, how statistical power fits into the calculation, and why the planned analysis should come before the final number.
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 →Your research question may name one construct while your data capture something narrower or different. Learn how measurement decisions can quietly change the empirical question your study actually answers.
Read Guide →A defensible research design is not simply one that follows a recognized method. It is one in which the research question, evidence, procedures, analysis, and conclusions are coherently aligned and the important methodological choices can be justified.
Read Guide →Statistical adjustment can reduce confounding when the right variables are measured and modeled appropriately, but it cannot guarantee an unbiased estimate. Unmeasured confounders, measurement error, model misspecification, and inappropriate adjustment can leave or even introduce bias.
Read Guide →Rigorous mixed-methods research requires more than conducting a quantitative study and a qualitative study in the same project. Each component must be methodologically sound, and their integration must be justified, coherent, transparent, and capable of producing insights that matter to the research question.
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.
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