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Thayer, Jerome D. – 1986
A dichotomous dependent variable is used to determine a combination of variables that will predict group membership. Dichotomous variables are frequently encountered in multiple regression analysis. However, several textbooks question the appropriateness of using multiple regression analysis when analyzing dichotomous dependent variables. The…
Descriptors: Analysis of Covariance, Analysis of Variance, Discriminant Analysis, Multiple Regression Analysis

Huberty, Carl J.; Curry, Allen R. – 1975
A linear classification rule (used with equal covariance matrices) was contrasted with a quadratic rule (used with unequal covariance matrices) for accuracy of internal and external classification. The comparisons were made for seven situations which resulted from combining three data conditions (equal and unequal covariance matrices, minimal and…
Descriptors: Analysis of Covariance, Bayesian Statistics, Classification, Comparative Analysis

Huberty, Carl J.; Blommers, Paul J. – Multivariate Behavioral Research, 1974
Descriptors: Analysis of Covariance, Analysis of Variance, Classification, Discriminant Analysis
Kleinke, David J. – 1971
Change Group Analysis is suggested as a technique for examining the correlates of the differential effects of a compensatory education program within the group of enrolled pupils. It is based on using pretest-posttest relative changes for forming criterion groups and then using multiple disciminant analysis to uncover patterns of predictor…
Descriptors: Academic Achievement, Analysis of Covariance, Change, Compensatory Education

Amundsen, Cheryl Lynn; Bernard, Robert M. – Distance Education, 1989
Discussion of interpersonal communication in distance education focuses on a study conducted at the Institute of Canadian Bankers based on Keegan's theoretical framework of re-integrating interpersonal components through learning materials. Hypotheses tested are explained, and achievement, self-perception of learning achievement, final academic…
Descriptors: Academic Achievement, Analysis of Covariance, Discriminant Analysis, Distance Education