sampling strategies (2)

Acaa Harriet Omara

The document defines sampling as the process of selecting a small group of cases from a larger population to draw conclusions. It highlights the need for sampling when a census is impracticable due to budget, time constraints, or the need for quick results. The text differentiates between population and sampling frame, and introduces characteristics of populations such as homogeneity and stratification. It then details probability sampling methods like simple random, stratified random, and cluster sampling, emphasizing the requirement of equal chance of selection for all individuals. Finally, it covers non-probability sampling techniques including convenience, judgmental, snowball, and quota sampling, explaining their unique selection criteria and applications.