Outcome 1
Define the target population, accessible population, unit and sampling frame precisely.
Research Design · Premium downloadable PDF
Choose a defensible sampling strategy and sample-size logic while making selection, recruitment, non-response and inference limits visible.
Who this is for
Researchers designing quantitative, qualitative, mixed-method, document-based or case-study samples for proposals and completed studies.
The PDF course is written in English and designed for independent, self-paced study. It explains each decision, provides fictional illustrations, and includes workbook pages that you can print or complete separately against your own research.
The purchase does not include private document review, editing, data analysis, or live sessions. Those are available through the live group fee or a separately quoted one-to-one or institutional format.
Learning outcomes
Achievement depends on completing the lessons, using the worksheets, practising the decisions, and applying the process to your own work.
Define the target population, accessible population, unit and sampling frame precisely.
Select probability, purposive or other sampling logic that fits the research design.
Justify sample size using analysis, precision, power or information needs as appropriate.
Document recruitment, non-response, exclusions and limits on inference.
PDF course syllabus
21 pages of original instruction, guided decision tools, printable worksheets, and completion checks.
Define exactly who or what the study concerns and what source can be used for selection.
Choose a selection method whose assumptions match the design and intended inference.
Justify the amount of evidence using assumptions appropriate to the primary analysis or qualitative purpose.
Implement the planned sample ethically and show how participation affects the final evidence base.
Apply this learning
Start with the free guide. If your own document, design, data, or journal requirements need individual review, use the matching support page to define the scope.
A practical checklist for preparing datasets, codebooks, transcripts, missing-data decisions and analysis files.
Read Data analysis readiness Project supportDesign a method that can genuinely answer the research question.Methodology support connects the question to a defensible design, evidence source, sampling strategy, measurement or interview process, analysis plan, and ethical approach.
Review Methodology supportIncluded in the PDF purchase
Course and training options
21-page focused PDF course + printable workbook with a personal-use licence and secure post-payment download.
Request PDF purchase4 live sessions delivered online across 2 weeks, with shared activities and included resources.
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No. Appropriate sample-size logic depends on the design, primary analysis, precision, assumptions and evidence purpose.
Yes when it fits the methodology and intended claims. The strategy, criteria and inference boundary must be justified transparently.
Continue this pathway
Start with the research problem
Tell us your degree level, research stage, exact requirement, and deadline.