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How do sociologists choose who to study, and why does sampling matter?

Sampling in sociological research: the target population and sampling frame, the main sampling techniques (random, stratified, quota, snowball and opportunity), and why a representative sample matters.

An SQA Higher Sociology answer on sampling. Covers the target population and sampling frame, the main sampling techniques (random, stratified, quota, snowball and opportunity), the difference between representative and non-representative samples, and why sampling decisions affect how far findings can be generalised.

Generated by Claude Opus 4.811 min answer

Reviewed by: AI editorial process; not yet individually human-reviewed

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  1. What this dot point is asking
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What this dot point is asking

The SQA wants you to explain how sociologists choose who to study and why sampling matters. Because Higher Sociology asks you to evaluate research, you must understand how a sample is selected, the main techniques, and how sampling affects whether findings can be generalised to the wider population.

The answer

Population, sampling frame and sample

Random and stratified sampling

Quota, snowball and opportunity sampling

Why representativeness matters

Linking sampling to the research aim

The best sampling method depends on the study. Where generalisation matters, random or stratified sampling is preferred; where the group is hidden or hard to find, snowball sampling may be the only practical choice, even though it sacrifices representativeness. Recognising this trade-off is what lifts an evaluation answer.

Examples in context

A study of student attitudes shows sampling decisions at work. If a researcher simply questions friends in the canteen (opportunity sampling), the sample is convenient but biased, so the findings cannot be generalised to all students. If instead they take the full college roll as a sampling frame and select students at random, every student has an equal chance of selection and the sample is more likely to be representative. Going further, stratified sampling could ensure the right proportions of each year group, course and sex, matching the sample to the college's actual make-up. The more representative the sample, the more safely the conclusions can be generalised, which is precisely the judgement an evaluation question rewards.

Try this

Q1. Explain what is meant by a representative sample. [4 marks]

  • Cue. A sample that reflects the make-up of the target population, so findings can be generalised to the whole population.

Q2. Describe snowball sampling and give one situation where it is useful. [4 marks]

  • Cue. Existing participants recommend others; useful for hard-to-reach or hidden groups, such as people involved in crime.

Exam-style practice questions

Practice questions written in the style of SQA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

SQA Higher specimen8 marksExplain why sampling is important in sociological research.
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An 88-mark "explain" question. Markers want a developed account of what sampling does and why it matters.

A sample is a smaller group selected to stand for a larger target population, because studying everyone is usually impossible. Sampling lets sociologists draw conclusions about the whole population from a manageable group.

Develop it by explaining representativeness: if a sample is representative, the findings can be generalised to the population; if it is biased or too small, the findings may not apply more widely. An example, such as a random sample giving everyone an equal chance of selection, earns the developed marks.

SQA Higher 20196 marksDescribe two sampling techniques used by sociologists.
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A 66-mark "describe" question. Markers reward accurate descriptions of two named techniques, ideally with a comment on each.

Random sampling gives every member of the target population an equal chance of being selected, often using a sampling frame such as a list. Stratified sampling divides the population into groups (for example by age or sex) and samples each group in proportion, so the sample matches the population's make-up.

Develop the answer by noting a benefit, for example that both aim to make the sample representative so findings can be generalised. Two clear, correctly named techniques earn full marks.

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