- Probability sampling is a mechanism for reducing bias in the selection of samples.
- Ensure you become familiar with key technical terms in the literature on sampling such as: representative sample; random sample; non-response; population; sampling error; etc.
- Randomly selected samples are important because they permit generalizations to the population and because they have certain known qualities.
- Sampling error decreases as sample size increases.
- Quota samples can provide reasonable alternatives to random samples; but they suffer from some deficiencies.
- Convenience samples may provide interesting data, but it is crucial to be aware of their limitations in terms of generalizability.
- Sampling and sampling-related error are just two sources of error in social survey research.