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A mediator helps explain how or through what process one variable relates to another, whereas a moderator indicates when, for whom, or under what conditions that relationship changes. The distinction is conceptual before it is statistical.
Read Guide →The unit of analysis is the entity your study ultimately aims to describe, compare, or make claims about. Learn how to identify it, distinguish it from what you collect data from, and avoid conclusions at the wrong level.
Read Guide →Your research question and unit of analysis match when the entities named in the question are the entities your data and analysis can legitimately compare. Checking that alignment early prevents mismatched variables, inflated sample sizes, inappropriate aggregation, and conclusions made at the wrong level.
Read Guide →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 →Experimental, quasi-experimental, and observational studies differ mainly in what researchers do with the exposure or intervention and how participants enter comparison conditions. Understanding those differences helps you choose a design that fits both your research question and the strength of inference you hope to make.
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 →Between-subjects designs compare different participants across conditions, while within-subjects designs compare conditions within the same participants. The better choice depends on what is being studied and whether experiencing one condition can influence another.
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 →Patient and public involvement means conducting research with or by patients and members of the public rather than simply doing research to, about, or for them. PPI gives public contributors opportunities to influence how research is developed, conducted, interpreted, or communicated.
Read Guide →Stakeholders can contribute from the earliest development of a research topic through study design, conduct, interpretation, dissemination, and use of findings. They do not need to participate in every stage for their involvement to be meaningful.
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 →Measure, instrument, and indicator are often used as though they mean the same thing, but they describe different parts of the measurement process. Understanding the distinction can make your methods clearer and expose weak links between a construct and the data used to represent it.
Read Guide →Not every research project needs a formal pilot or feasibility study. Preliminary work is most valuable when important uncertainties about whether or how the main study can be conducted cannot be resolved adequately from existing evidence or simpler testing.
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