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ERIC Number: ED133347
Record Type: Non-Journal
Publication Date: 1976-Apr
Pages: 15
Abstractor: N/A
Reference Count: N/A
Variable Contribution in Discriminant Analysis.
Huberty, Carl J.; Smith, Douglas U.
The purpose of this study was to determine which of six methods of ordering variables in a discriminant analysis yields subsets of variables that have the greatest discriminatory power. One method is based on univariate mean-square (or F) ratios, a second method on stepwise ordering, two methods on linear discriminant function (LDF) variable correlations, and two methods on standardized LDF coefficients. Real data on 80 graduate students in statistics were used. It was concluded that no single method was far superior to the others. Related findings are discussed, as are recommendations for subsequent research in this area. (Author/RC)
Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: N/A
Authoring Institution: N/A