Versus probability sampling
Probability sampling uses random selection with known probabilities, allowing sampling error and confidence intervals. Non-probability methods rely on judgement or accessibility, risking selection bias and preventing error estimation.
Types
- Convenience: whoever is readily available, e.g. students in a class.
- Purposive (judgement): cases chosen for the information they can provide.
- Quota: quotas matching population proportions on traits such as sex and age, filled non-randomly.
- Snowball: participants refer others; used for hidden populations, with respondent-driven sampling as a refined version.
When to use
Exploratory and pilot studies, qualitative research and populations without a sampling frame. The Literary Digest's wrong 1936 US election forecast from a huge but biased sample shows selection method matters more than size.
References
- Babbie, E. (2021). The Practice of Social Research (15th ed.). Cengage.
- Patton, M. Q. (2015). Qualitative Research and Evaluation Methods (4th ed.). Sage.
- Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174-199.
- Squire, P. (1988). Why the 1936 Literary Digest poll failed. Public Opinion Quarterly, 52(1), 125-133.