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Key Terms
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Cluster sampling  The selection of groups of individuals, called clusters, rather than single individuals. All individuals in a cluster are included in the sample; the clusters are preferably selected randomly from the larger population of clusters.
Content analysis  A method of studying human behavior indirectly by analyzing communications, usually through a process of categorization.
Latent content  The underlying meaning of a communication.
Manifest content  The obvious meaning of a communication.
Purposive sampling  A nonrandom sample selected because prior knowledge suggests it is representative, or because those selected have the needed information.
Random sample  A sample selected in such a way that every member of the population has an equal chance of being selected.
Reliability  The degree to which scores obtained with an instrument are consistent measures of whatever the instrument measures.
Theme  A means of organizing and interpreting data in a content analysis by grouping codes as the interpretation progresses.
Unit of analysis  The unit that is used in data analysis (individuals, objects, groups, classrooms, etc.).
Validity  The degree to which correct inferences can be made based on results from an instrument; depends not only on the instrument itself, but also on the instrumentation process and the characteristics of the group studied.







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