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.
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Content analysis | A method of studying human behavior indirectly by analyzing communications, usually through a process of categorization.
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Latent content | The underlying meaning of a communication.
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Manifest content | The obvious meaning of a communication.
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Purposive sampling | A nonrandom sample selected because prior knowledge suggests it is representative, or because those selected have the needed information.
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Random sample | A sample selected in such a way that every member of the population has an equal chance of being selected.
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Reliability | The degree to which scores obtained with an instrument are consistent measures of whatever the instrument measures.
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Theme | A means of organizing and interpreting data in a content analysis by grouping codes as the interpretation progresses.
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Unit of analysis | The unit that is used in data analysis (individuals, objects, groups, classrooms, etc.).
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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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