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EBP Chapter 7 M5

Selecting The Sample and Setting

TermDefinition
Accessible population Population that is readily available to the researcher and that represents the target population as closely as possible
Cluster sampling Type of sampling in which the researcher selects groups of subjects rather than individual subjects; also called multistaf
Convenience sampling Type of non-probability sampling in which the researcher selects subjects or elements readily available; also called accidental sampling
External validity Extent to which results of a study can be generalized from the study sample to other populations and settings
Network sampling Type of non-probability sampling that takes advantage of social networks
Non-probability sampling Type of sampling in which the sample is not selected using random selection
Population Entire set of subjects, objects, events, or elements being studied; also called the target population
Probability sampling Type of sampling in which every subject, object, or element in the population has an equal chance or probability of being chosen
Purposive sampling Type of non-probability sampling in which the researcher selects only subjects that satisfy pre-specified characteristics; also called judgmental or theoretical sampling
Quota sampling Type of non-probability sampling in which quotas are filled
Random assignments Allocation of subjects to either an experimental or a control group
Random selection Type of selection in which each subject has an equal, independent chance of being selected
Sample A subset of a population
Sampling The process of selecting a subset from a larger population
Sampling frame A list of all elements in a population
Simple random sampling Method of selecting subjects for a sample, in which every subject has an equal chance of being chosen
Snowball sampling Type of non-probability sampling that relies on subjects identifying other subjects with similar characteristics
Stratified random sampling Type of random sampling in which the population is divided into sub-populations, or strata, on the basis of one or more variables, and a simple random sample is drawn from each stratum
Systematic sampling Type of sampling in which every kth (where "k" is some convenient number) member of the population is selected into the sample
Target population Population for which study outcomes are intended. Although the intended (target) population is usually evident, having access to members of this population (accessible) can be difficult
Created by: jessmgar