Probability sampling ensures each member has a chance of selection, enabling generalizability to the overall population through random methods.
Probability sampling involves methods where each member of the population has a known and non-zero chance of being selected, while nonprobability sampling methods do not guarantee this. Generalizability refers to the extent to which the findings from a sample can be applied to the entire population, and it is achieved in probability samples by using random selection techniques.
Common types of probability samples include simple random, stratified, systematic, and cluster samples, each chosen based on the research objectives and the nature of the population.
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