Abstract: Discriminant analysis is a powerful descriptive and classificatory technique to describe characteristics that are specific to distinct groups and classify cases into pre-existing groups based on similarities between that case and the other cases belonging to the groups. The mathematical objective of discriminant analysis is to weight and linearly combine information from a set of p-dependent variables in a manner that forces the k groups to be as distinct as possible. This chapter provides a thorough and complete discussion of what investigators need to know and do to use discriminant analysis properly. It begins with a layout of the specific steps and procedures necessary to conduct a descriptive discriminant analysis. This is followed by a more detailed discussion of each step. Information about how to properly interpret the results of a descriptive discriminant analysis is provided, followed by a discussion of predictive discriminant analysis. Finally, it describes reporting requirements for publishing results of either a descriptive or predictive discriminant analysis.
Publication Year: 2000
Publication Date: 2000-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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Cited By Count: 55
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