- disproportional stratified sampling: number of subjects in strata does not reflect the proportion in the population
- nonprobablility sample: the probablility of including population elements is unknown
- participant: person from whom data are collected
- population: a larger group to whom results can be generalized
- probablility sampling: method in which subjects are selected randomly in a way where the researcher knows the probablility of selecting each
- proportional stratified sampling: each strata is represented in the sample in the same proportion as represented in the population
- purposive sampling: selection of particularly informative or useful subjects
- sample: group of subjects from whom data are collected
- simple random sampling: every member of the population has an equal chance to be selected for the sampling
- stratified sampling: subjects are selected from strata or groups of the population
- subject: person from whom data are collected
- systematic sampling: every n th member of the population is selected