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sampling cons
difficult with larger groups
probability sampling:
stratified random & cluster
stratified random sampling
population is divided into groups based on meaningful characteristics
cluster sampling
population is divided into groups (geographically)
non-probability sampling
theoretical, snowball, convenience
theoretical sampling
participants are chosen to develop/refine theory
snowball sampling
refer other participants
convenience sampling
chosen due to easy access