Outcome 1
Define the target population, accessible population, unit and sampling frame precisely.
Research Design · Premium downloadable PDF
Research Sampling & Sample Size Course
Choose a defensible sampling strategy and sample-size logic while making selection, recruitment, non-response and inference limits visible.
Who this is for
A practical self-study system for researchers.
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
What you should be able to do after the course.
Achievement depends on completing the lessons, using the worksheets, practising the decisions, and applying the process to your own work.
Outcome 2
Select probability, purposive or other sampling logic that fits the research design.
Outcome 3
Justify sample size using analysis, precision, power or information needs as appropriate.
Outcome 4
Document recruitment, non-response, exclusions and limits on inference.
PDF course syllabus
A practical sequence from foundations to final checks.
21 pages of original instruction, guided decision tools, printable worksheets, and completion checks.
- 01
Population, Unit and Sampling Frame
Define exactly who or what the study concerns and what source can be used for selection.
- 02
Probability and Non-Probability Strategies
Choose a selection method whose assumptions match the design and intended inference.
- 03
Sample Size, Power and Information Adequacy
Justify the amount of evidence using assumptions appropriate to the primary analysis or qualitative purpose.
- 04
Recruitment, Non-Response and Sampling Reporting
Implement the planned sample ethically and show how participation affects the final evidence base.
Included in the PDF purchase
Instruction, worksheets, and a documented learning route.
- 21-page focused PDF course + printable workbook
- Original lessons, decision rules, and worked illustrations
- Printable decision worksheets and quality checklists
- Course-completion audit and 30-day action plan
- Verified primary-guidance links and a personal-use licence
Not included
- Writing or completing your assessed submission for you
- Live teaching, individual editing, data analysis, or document review unless separately purchased
- University accreditation, academic credit, or professional licensing
- Guaranteed approval, grade, journal acceptance, or publication timing
Course and training options
Choose the level of guidance and personalisation.
21-page focused PDF course + printable workbook with a personal-use licence and secure post-payment download.
Buy PDF course4 live sessions delivered online across 2 weeks, with shared activities and included resources.
Enrol in live trainingPrivate sessions adapted to your stage, discipline, objectives, and preferred timetable.
Request a quoteA private workshop or licensed learning package for a university, department, research team, or organisation.
Request group trainingCourse questions
Know what you are buying.
PDF purchases and live training have different delivery terms. The selected format, payment route, and applicable conditions are confirmed before payment.
How is the PDF delivered?
After payment is verified, a personal download link is sent to the email address and WhatsApp number supplied with the purchase request. Keep those details accurate and retain the receipt.
May I print or share the course?
You may save and print a copy for your own learning. Redistribution, resale, public upload, classroom distribution, or inclusion in another commercial product is not permitted under the personal licence.
Does the course provide one universal sample-size formula?
No. Appropriate sample-size logic depends on the design, primary analysis, precision, assumptions and evidence purpose.
Is purposive sampling acceptable for PhD research?
Yes when it fits the methodology and intended claims. The strategy, criteria and inference boundary must be justified transparently.
Continue this pathway