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Ford, David L.; And Others – Multivariate Behavioral Research, 1978
Econometric techniques for estimating the parameters of individual and group multi-attribute utility models are discussed. These techniques permit measurement of intra-and inter-individual heterogeneity with regard to the importance ascribed to the model attributes. (Author/JKS)
Descriptors: Economic Research, Higher Education, Individual Characteristics, Mathematical Models
Peer reviewed Peer reviewed
Murphy, Kevin R. – Multivariate Behavioral Research, 1982
When either regression models or subjectively-weighted models are used as aids in making placement decisions, the discriminant validity of these models is questioned. The validity of several regression models and of subjectively weighted models was investigated in two experiments. (Author/JKS)
Descriptors: College Admission, Discriminant Analysis, Higher Education, Mathematical Models
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
Peer reviewed Peer reviewed
Rock, Donald A.; And Others – Multivariate Behavioral Research, 1978
Systematic procedures are outlined for testing the assumption made on the dependent variables in a variety of statistical techniques. Specifically, procedures are outlined for testing the assumption that the dependent variables are measuring the same constructs in the same metrics with equivalent reliabilities across all subgroups. (Author/JKS)
Descriptors: Analysis of Covariance, Analysis of Variance, Discriminant Analysis, Higher Education