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Lutz, J. Gary – Educational and Psychological Measurement, 1979
A specialized vector used to interpret rejected multivariate single sample hypotheses, introduced in an earlier article by the writer (EJ 097 103), is shown here to be equivalent to the vector that would be obtained if discriminant analysis techniques were to be applied to a single sample problem. (Author)
Descriptors: Discriminant Analysis, Hypothesis Testing
Choi, Namok; Fuqua, Dale R.; Newman, Jody L. – Educational and Psychological Measurement, 2008
Pedhazur and Tetenbaum speculated that factor structures from self-ratings of the Bem Sex-Role Inventory (BSRI) personality traits would be different from factor structures from desirability ratings of the same traits. To explore this hypothesis, both desirability ratings of BSRI traits (both "for a man" and "for a woman") and…
Descriptors: Personality Traits, Sex Role, Gender Discrimination, Self Evaluation (Individuals)

Hollingsworth, Holly H. – Educational and Psychological Measurement, 1981
If the null hypothesis of a one-sample test of multivariate means is rejected, the dimension of the line joining the population centroid and the hypothesized centroid can be interpreted with a linear function, using a discriminant function and the correlation of each dependent variable with a discriminant score. (Author/BW)
Descriptors: Discriminant Analysis, Hypothesis Testing, Mathematical Models, Statistical Analysis

Lawlis, G. Frank; Sweney, Arthur B. – Educational and Psychological Measurement, 1975
A method of applying the discriminant function to correlated samples was discussed for the researcher interested in utilizing multivariate statistics to pre-post data. By finding the linear combination that maximizes differences in the groups, the t-statistic can be computed for correlated samples. (Author)
Descriptors: Correlation, Discriminant Analysis, Hypothesis Testing, Longitudinal Studies
Finch, W. Holmes; French, Brian F. – Educational and Psychological Measurement, 2007
Differential item functioning (DIF) continues to receive attention both in applied and methodological studies. Because DIF can be an indicator of irrelevant variance that can influence test scores, continuing to evaluate and improve the accuracy of detection methods is an essential step in gathering score validity evidence. Methods for detecting…
Descriptors: Item Response Theory, Factor Analysis, Test Bias, Comparative Analysis