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| Factor Analysis | 2 |
| Models | 2 |
| Comparative Analysis | 1 |
| Factor Structure | 1 |
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| Multitrait Multimethod… | 1 |
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| Structural Equation Modeling | 2 |
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| Conway, James M. | 1 |
| Joreskog, Karl G. | 1 |
| Lance, Charles E. | 1 |
| Lievens, Filip | 1 |
| Mavridis, Dimitris | 1 |
| Moustaki, Irini | 1 |
| Scullen, Steven E. | 1 |
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Direct linkMoustaki, Irini; Joreskog, Karl G.; Mavridis, Dimitris – Structural Equation Modeling, 2004
We consider a general type of model for analyzing ordinal variables with covariate effects and 2 approaches for analyzing data for such models, the item response theory (IRT) approach and the PRELIS-LISREL (PLA) approach. We compare these 2 approaches on the basis of 2 examples, 1 involving only covariate effects directly on the ordinal variables…
Descriptors: Item Response Theory, Models, Comparative Analysis, Factor Analysis
Conway, James M.; Lievens, Filip; Scullen, Steven E.; Lance, Charles E. – Structural Equation Modeling, 2004
This simulation investigates bias in trait factor loadings and intercorrelations when analyzing multitrait-multimethod (MTMM) data using the correlated uniqueness (CU) confirmatory factor analysis (CFA) model. A theoretical weakness of the CU model is the assumption of uncorrelated methods. However, previous simulation studies have shown little…
Descriptors: Multitrait Multimethod Techniques, Factor Analysis, Factor Structure, Simulation
