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| Multivariate Behavioral… | 4 |
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| Baker, Frank B. | 1 |
| Buja, Andreas | 1 |
| Chan, Kim-Yin | 1 |
| Chernyshenko, Oleksandr S. | 1 |
| Drasgow, Fritz | 1 |
| Eyuboglu, Nermin | 1 |
| Hubert, Lawrence J. | 1 |
| Stark, Stephen | 1 |
| Williams, Bruce | 1 |
| Zwick, Rebecca | 1 |
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| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
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Peer reviewedHubert, Lawrence J.; Baker, Frank B. – Multivariate Behavioral Research, 1978
The strategy for investigating convergent and discriminant test validity, known as the multitrait-multimethod matrix, is investigated. A nonparametric significance testing procedure is suggested and demonstrated. (JKS)
Descriptors: Correlation, Hypothesis Testing, Mathematical Models, Matrices
Peer reviewedChernyshenko, Oleksandr S.; Stark, Stephen; Chan, Kim-Yin; Drasgow, Fritz; Williams, Bruce – Multivariate Behavioral Research, 2001
Compared the fit of several Item Response Theory (IRT) models to two personality assessment instruments using data from 13,059 individuals responding to one instrument and 1,770 individuals responding to the other. Two- and three-parameter logistic models fit some scales reasonably well, but not others, and the graded response model generally did…
Descriptors: Adults, Comparative Analysis, Goodness of Fit, Item Response Theory
Peer reviewedBuja, Andreas; Eyuboglu, Nermin – Multivariate Behavioral Research, 1992
Use of parallel analysis (PA), a selection rule for the number-of-factors problem, is investigated from the viewpoint of permutation assessment through a Monte Carlo simulation. Results reveal advantages and limitations of PA. Tables of sample eigenvalues are included. (SLD)
Descriptors: Computer Simulation, Correlation, Factor Structure, Mathematical Models
Peer reviewedZwick, Rebecca – Multivariate Behavioral Research, 1986
The purpose of the current study was to investigate the relative performance of the parametric, rank, and normal scores procedures when the classical assumptions were met and under violations of these assumptions. This investigation included the normal scores as well as the rank test. (LMO)
Descriptors: Hypothesis Testing, Mathematical Models, Measurement Techniques, Monte Carlo Methods
