Ch. 11 SAMPLING. Sampling Sampling is the process of selecting a sufficient number of elements from the population.

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Presentation transcript:

Ch. 11 SAMPLING

Sampling Sampling is the process of selecting a sufficient number of elements from the population.

Definition Population: –The entire group of people, events, or things of interest that the researcher wishes to investigate Element: –A single member of the population Population Frame: –A listing of all the elements in the population from which the sample is drawn Sample: –A subset of the population Subject: –A single member of the sample

Why Sample? Greater accuracy Availability of elements Availability of elements Greater speed Sampling provides Sampling provides Lower cost

Sampling Designs Probability sampling –Elements in the population have some known chance or probability of being selected as sample subjects Nonprobability sampling –Elements do not have known or predetermined chance of being selected as subjects

Probability Sampling Unrestricted or simple random sampling Restricted or complex probability sampling –Systematic sampling –Stratified random sampling –Cluster sampling Area sampling –Double sampling

Simple Random Advantages Easy to implement Disadvantages Requires list of population elements Time consuming High cost

Systematic Advantages Simple to design Easier than simple random Disadvantages Periodicity within population may skew sample and results Trends in list may bias results

Stratified Advantages Provides data to represent and analyze subgroups Enables use of different methods in strata Disadvantages Especially expensive if strata on population must be created

Cluster Advantages Easy to do without list Disadvantages Greater biases and less generalizable

Stratified and Cluster Sampling Stratified Population divided into few subgroups Homogeneity within subgroups Heterogeneity between subgroups Choice of elements from within each subgroup Cluster Population divided into many subgroups Heterogeneity within subgroups Homogeneity between subgroups Random choice of subgroups

Area Sampling

Double Sampling Advantages May reduce costs if first stage results in enough data to stratify or cluster the population Disadvantages Increased costs if discriminately used

Nonprobability Sampling Convenience sampling –Collection of information from members of the population who are conveniently available to provide it. Purposive sampling –Conform to some criteria set by the researcher Judgment sampling Quota sampling