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Wednesday, January 14, 2015

Techniques



Sampling techniques: Advantages and disadvantages
Technique
Descriptions
Advantages
Disadvantages
Simple random
Random sample from whole population
Highly representative if all subjects participate; the ideal
Not possible without complete list of population members; potentially uneconomical to achieve; can be disruptive to isolate members from a group; time-scale may be too long, data/sample could change
Stratified random
Random sample from identifiable groups (strata), subgroups, etc.
Can ensure that specific groups are represented, even proportionally, in the sample(s) (e.g., by gender), by selecting individuals from strata list
More complex, requires greater effort than simple random; strata must be carefully defined
Cluster
Random samples of successive clusters of subjects (e.g., by institution) until small groups are chosen as units
Possible to select randomly when no single list of population members exists, but local lists do; data collected on groups may avoid introduction of confounding by isolating members
Clusters in a level must be equivalent and some natural ones are not for essential characteristics (e.g., geographic: numbers equal, but unemployment rates differ)
Stage
Combination of cluster (randomly selecting clusters) and random or stratified random sampling of individuals
Can make up probability sample by random at stages and within groups; possible to select random sample when population lists are very localized
Complex, combines limitations of cluster and stratified random sampling
Purposive
Hand-pick subjects on the basis of specific characteristics
Ensures balance of group sizes when multiple groups are to be selected
Samples are not easily defensible as being representative of populations due to potential subjectivity of researcher
Quota
Select individuals as they come to fill a quota by characteristics proportional to populations
Ensures selection of adequate numbers of subjects with appropriate characteristics
Not possible to prove that the sample is representative of designated population
Snowball
Subjects with desired traits or characteristics give names of further appropriate subjects
Possible to include members of groups where no lists or identifiable clusters even exist (e.g., drug abusers, criminals)
No way of knowing whether the sample is representative of the population
Volunteer, accidental, convenience
Either asking for volunteers, or the consequence of not all those selected finally participating, or a set of subjects who just happen to be available
Inexpensive way of ensuring sufficient numbers of a study
Can be highly unrepresentative
Source: Black, T. R. (1999). Doing quantitative research in the social sciences: An integrated approach to research design, measurement, and statistics. Thousand Oaks, CA: SAGE Publications, Inc. (p. 118)

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