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| Multitrait Multimethod… | 3 |
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| Multivariate Behavioral… | 3 |
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| Coleman, S. C. | 1 |
| Hontangas, Pedro M. | 1 |
| Levin, Joseph | 1 |
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| Tomas, Jose M. | 1 |
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Peer reviewedLevin, Joseph – Multivariate Behavioral Research, 1988
A means of transforming multitrait-multimethod (MTMM) matrices into a classical multiple group factor analysis is outlined. A reanalysis of two numerical illustrations shows that the classical procedure yields results similar to those reached by D. N. Jackson's (1975) two-step procedure for analysis of MTMM matrices. (TJH)
Descriptors: Factor Analysis, Matrices, Multitrait Multimethod Techniques
Peer reviewedTomas, Jose M.; Hontangas, Pedro M.; Oliver, Amparo – Multivariate Behavioral Research, 2000
Assessed two models for confirmatory factor analysis of multitrait-multimethod data through Monte Carlo simulation. The correlated traits-correlated methods (CTCM) and the correlated traits-correlated uniqueness (CTCU) models were compared. Results suggest that CTCU is a good alternative to CTCM in the typical multitrait-multimethod matrix, but…
Descriptors: Matrices, Monte Carlo Methods, Multitrait Multimethod Techniques, Simulation
Peer reviewedReichardt, Charles S.; Coleman, S. C. – Multivariate Behavioral Research, 1995
The criteria for assessing convergent and discriminant validity proposed by D. T. Campbell and D. W. Fiske (1959) are shown to be inadequate for either the additive or multiplicative structures of data in a multitrait-multimethod matrix. Model-specific criteria are more promising for assessing convergent and discriminant validity. (Author/SLD)
Descriptors: Correlation, Criteria, Evaluation Methods, Matrices
