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.
Reviewed by: AI editorial process; not yet individually human-reviewed
Have a quick question? Jump to the Q&A page
Jump to a section
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.Show worked answer →
An -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.Show worked answer →
A -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.
Related dot points
- The sociological research process and the main types of data: primary and secondary data, and quantitative and qualitative data, with their uses and limitations.
An SQA Higher Sociology answer on the research process and the types of data sociologists use. Covers the stages of a study from aim and hypothesis to conclusion, the difference between primary and secondary data and between quantitative and qualitative data, and the strengths and limitations of each type.
- Survey methods in sociology: questionnaires and the main types of interview (structured, unstructured and semi-structured), with their strengths and weaknesses for reliability, validity and representativeness.
An SQA Higher Sociology answer on survey methods. Covers questionnaires and the main types of interview, structured, unstructured and semi-structured, the kinds of data each produces, and their strengths and weaknesses for reliability, validity, representativeness and ethics.
- Observation and experiments in sociology: participant and non-participant observation (covert and overt), and laboratory and field experiments, with their strengths and weaknesses.
An SQA Higher Sociology answer on observation and experiments. Covers participant and non-participant observation, covert and overt approaches, laboratory and field experiments, the data each produces, and their strengths and weaknesses for validity, reliability and ethics.
- Judging sociological research: reliability, validity and representativeness, and the main research ethics including informed consent, confidentiality, avoiding harm and honesty.
An SQA Higher Sociology answer on how to evaluate research. Covers reliability, validity and representativeness as the criteria for judging a study, the main ethical principles, informed consent, confidentiality, avoiding harm and honesty, and why ethics can limit the methods sociologists use.
- Social inequality: what it means, the forms it takes (wealth, income, health, education and employment), the evidence for it, and the groups most affected including by class, gender and ethnicity.
An SQA Higher Sociology answer on social inequality. Covers what social inequality means, the forms it takes in wealth, income, health, education and employment, the evidence for it, and the groups most affected, including by social class, gender and ethnicity.
Sources & how we know this
- SQA Higher Sociology Course Specification (C868 76) — SQA (2019)