Skip to content
New research mentoring cohorts open — book a free 15-minute consult, no obligation.
phdguide

Sampling

Methodology & design

Definition

The method of selecting units from a population — probability methods (e.g. random) support generalisation; non-probability methods (e.g. convenience) do not.

Sampling is the process of selecting a subset of a population to study, on the reasoning that a well-chosen subset can support conclusions about the whole. The method chosen determines whether statistical generalisation to the population is defensible.

Probability methods give every unit a known, non-zero chance of selection and support inference: simple random, systematic, stratified (sampling within subgroups to guarantee representation) and cluster sampling. Non-probability methods do not: convenience, purposive, quota and snowball sampling are chosen for practicality or for reaching hard-to-access groups.

Most thesis research uses non-probability sampling for practical reasons, which is acceptable provided you name the method honestly and treat generalisability as a stated limitation rather than claiming it. Report the technique, the sampling frame, how participants were approached, the response rate and the final achieved sample.

Where it's used

  • Justifying generalisability claims in the methodology chapter

Not sure where to start?

Book a free 15-minute consult. We'll map your next three steps — no obligation.

Ethical, compliant guidance

We provide academic support, mentoring, analysis, editing and structuring — not authorship. Your work stays compliant with university policies.