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ERIC Number: ED355274
Record Type: Non-Journal
Publication Date: 1993-Jan
Pages: 28
Abstractor: N/A
Reference Count: N/A
Descriptive Discriminant Analysis: An Application.
Dolenz, Beverly
The use of multivariate statistics in the social sciences is essential given that the studied effects are seldom influenced by only a single variable, and instead are usually influenced by multiple variables. One multivariate technique, discriminant function analysis, has potential for many applications in the social sciences. Discriminant function analysis has two defined purposes: predictive analysis and descriptive analysis. Descriptive discriminant analysis (DDA) is described, with a discussion of methodology and interpretation using data sets and graphs from a current research project. The project involves 374 participants in three age levels (grade 9, grade 12, and college) and their responses to the Career Beliefs Inventory, a 25-subscale instrument. DDA involves the study of group separation or group differences. A linear combination of a subset of response variables is considered to maximize between-group variance of the linear function relative to the within-group variance. Five tables and three figures are included. (Author/SLD)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A