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Multiple Regression Analysis2
Predictive Measurement2
Cognitive Ability1
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Multivariate Behavioral…2
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Butler, John K.1
Medoff, Deborah R.1
O'Grady, Kevin E.1
Womer, Norman Keith1
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Categorical Variables in Multiple Regression: Some Cautions.
Peer reviewed Peer reviewed
O'Grady, Kevin E.; Medoff, Deborah R. – Multivariate Behavioral Research, 1988
Limitations of dummy coding and nonsense coding as methods of coding categorical variables for use as predictors in multiple regression analysis are discussed. The combination of these approaches often yields estimates and tests of significance that are not intended by researchers for inclusion in their models. (SLD)
Descriptors: Multiple Regression Analysis, Predictive Measurement, Regression (Statistics), Research Problems
Hierarchical vs. Non-Nested Test for Contrasting Expectancy-Valence Models: Some Effects of Cognitive Characteristics.
Peer reviewed Peer reviewed
Butler, John K.; Womer, Norman Keith – Multivariate Behavioral Research, 1985
The study tests the appropriateness of multiplicative versus additive expectancy-valency models for grouping motivational force decisions of 82 undergraduate students. Arguments are offered favoring a non-nested regression models analysis over a traditional hierarchical analysis of nested regression models. Discriminant analysis indicated one of…
Descriptors: Cognitive Ability, Decision Making, Higher Education, Mathematical Models