Designing a Study You Can Defend
Should researchers analyze every available document or select a sample? Learn how corpus size, research objectives, analytical depth, representativeness, and resource constraints affect the decision, and how to justify either approach without confusing complete analysis with complete coverage of the documentary population.
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Designing a Study You Can Defend
Representativeness is important for some research questions, particularly those involving population estimates, but it is not the universal objective of sampling. Learn when population representativeness should be prioritized and when causal identification, predictive performance, subgroup precision, or conceptual depth provides a more appropriate basis for selecting participants.
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Designing a Study You Can Defend
Criterion sampling deliberately selects cases that meet conditions central to a research question. Learn when it is appropriate, how to establish and verify criteria, and why meeting eligibility conditions does not automatically guarantee information richness or analytical adequacy.
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Designing a Study You Can Defend
An effect size from a different population can inform sample-size planning, but it may not transfer reliably. Learn how to evaluate comparability, interpret population differences, and justify a defensible planning assumption.
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Designing a Study You Can Defend
Social media recruitment can reach large and geographically dispersed populations, but not everyone has an equal opportunity to encounter or respond to a study invitation. Understand how digital access, platform use, algorithmic visibility, and participation requirements can systematically exclude relevant groups.
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Designing a Study You Can Defend
Research volunteers may be unusually interested, available, confident, or personally invested in the topic being studied. Learn how to recognize motivation-related selection bias, recruit beyond enthusiastic volunteers, and assess what your sample can reasonably represent.
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Designing a Study You Can Defend
Researchers do not necessarily need to reveal their exact hypothesis in recruitment advertisements, but they must provide accurate information about the study. Learn when hypothesis disclosure may influence participation or behavior, what informed consent requires, and when limited disclosure needs ethical review.
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Designing a Study You Can Defend
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.
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Designing a Study You Can Defend
Describing a research sample requires more than reporting participants' age and gender. Learn how to select demographic, contextual, and baseline variables that clarify who participated, support interpretation, and help readers assess the applicability of findings without collecting unnecessary personal information.
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Designing a Study You Can Defend
Developing a new research instrument may be necessary when existing measures cannot adequately represent your intended construct or population. Learn how to distinguish genuine measurement needs from avoidable duplication and determine whether development is methodologically feasible.
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Designing a Study You Can Defend
A research construct must be sufficiently defined before instrument items can represent it meaningfully. Learn how to establish conceptual boundaries, distinguish dimensions from indicators, and develop a defensible content framework without assuming that every theoretical question must already be settled.
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Designing a Study You Can Defend
Direct translation may preserve the literal wording of a questionnaire while changing what respondents understand. Learn why linguistic accuracy does not guarantee measurement equivalence, when literal translation is problematic, and how to evaluate translated items before using them in research.
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Designing a Study You Can Defend
Forward-backward translation is a structured approach to translating research instruments, but reproducing the original wording does not guarantee measurement equivalence. Learn how the process works, who should participate, when it is useful, and what additional evidence is needed.
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Designing a Study You Can Defend
Bilingual experts and target-population members contribute different forms of evidence when reviewing translated questionnaires. Learn why both perspectives matter, how to organize the review process, and how to resolve disagreements without confusing expert approval with measurement validity.
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Designing a Study You Can Defend
An instrument can produce consistent scores and correlate with the intended construct while primarily measuring something else. Learn how to recognize construct substitution, distinguish related concepts, and collect evidence supporting the interpretation your research requires.
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Designing a Study You Can Defend
Recruitment channels determine who encounters a research invitation and who has an opportunity to participate. Learn how different channels can systematically exclude eligible people, when this threatens population estimates or causal comparisons, and how to evaluate recruitment coverage before data collection.
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Designing a Study You Can Defend
Research instruments do not always need identical wording across languages. Learn why conceptual equivalence matters more than literal translation, how to adapt instruments systematically, and when multilingual scores can be compared.
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Designing a Study You Can Defend
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.
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Designing a Study You Can Defend
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.
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Designing a Study You Can Defend
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.
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Designing a Study You Can Defend
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.
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Designing a Study You Can Defend
Pilot testing can reveal whether qualitative interview questions are understandable, appropriately sequenced, and capable of generating relevant accounts. Learn when pretesting is worthwhile, what to examine, and how to revise an interview guide without turning qualitative inquiry into a standardized questionnaire.
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Designing a Study You Can Defend
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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Designing a Study You Can Defend
Green-amber-red progression criteria can distinguish feasibility findings that support progression, require modification, or indicate substantial problems. Learn how traffic-light systems differ from pass-fail decisions, when they are useful, and why color categories should never replace methodological judgment.
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Designing a Study You Can Defend
A participant recruitment plan explains how researchers will identify, approach, screen, and enroll eligible participants while protecting voluntary participation and supporting the intended study design. Learn what to include, how to assess feasibility, and how to manage recruitment difficulties without compromising research integrity.
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