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| Multivariate Behavioral… | 6 |
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| Rindskopf, David | 1 |
| Rose, Tedd | 1 |
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Peer reviewedRindskopf, David; Rose, Tedd – Multivariate Behavioral Research, 1988
Confirmatory factor analysis was applied to test second- and higher-order factor models in the areas of structure of abilities, allometry, and the separation of specific and error variance estimates. The estimation of validity and reliability, second-order models within factor analysis models, and the concept of discriminability were also studied.…
Descriptors: Discriminant Analysis, Error of Measurement, Estimation (Mathematics), Factor Analysis
Peer reviewedDelaney, Harold D.; Maxwell, Scott E. – Multivariate Behavioral Research, 1981
The use of analysis of covariance in conjunction with the multivariate approach to analyzing repeated measures designs is considered for designs involving between- and within-subject factors, one dependent variable, and one observation per subject on the covariate. (Author/RL)
Descriptors: Analysis of Covariance, Correlation, Mathematical Models, Measurement Techniques
Peer reviewedMurphy, 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 reviewedKaplan, David – Multivariate Behavioral Research, 1988
The impact of misspecification on the estimation, testing, and improvement of structural equation models was assessed via a population study in which a prototypical latent variable model was misspecified. Results provide insights into the maximum likelihood estimator versus a limited two-stage least squares estimator in LISREL. (TJH)
Descriptors: Computer Simulation, Computer Software, Demography, Error of Measurement
Peer reviewedTanaka, J. S.; Huba, G. J. – Multivariate Behavioral Research, 1987
Two approaches are used to assess the one-month stability of depression affect in college students: (1) a high retest correlation is demonstrated for a latent depressive affect construct using self-reports from the previous month; and (2) predictive validity of depressive categorization is examined using logistic regression techniques. (Author/LMO)
Descriptors: Affective Measures, College Students, Depression (Psychology), Higher Education
Peer reviewedBrowne, M. W.; Cudeck, R. – Multivariate Behavioral Research, 1989
Single sample approximations are considered for the cross-validation coefficient in the analysis of covariance structures. Results of a random sampling experiment--using data from ability tests administered to high school students (sample sizes 100, 400, and 800)--illustrate the coefficient and adjustment for predictive validity. (SLD)
Descriptors: Ability Identification, Equations (Mathematics), Estimation (Mathematics), High School Students


