Sampling

Probability Sampling

Random sampling- every member of the population has an equal and known chance of being selected

Simple Random Sampling

Everyone in the population of interest has an equal chance of being selected

Systematic Sampling

choosing Nth number and sampling that

Cluster Sampling

random clusters + everyone within clusters

Stratified Random Sampling

random samples from different groups

Oversampling

random samples from different groups with one or more groups overrepresented

Convenience Sampling

drawing from an easy to access pool

Purposive Sampling

participants are selected on purpose bc of specific characteristics

Snowball Sampling

participants recruit/recommend other participants for the study

Quota Sampling

Recruitment of target # of participants for different subsets of the population