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Kumar, Ajith; Sharma, Subhash – Structural Equation Modeling, 1999
Demonstrates the advantages of Rao's Distance (C. Rao, 1949) over the root mean residual square for model comparisons using an analysis of a sample of multitrait-multimethod data. A simulation study shows that the true orderings of intermodel proximities are received with a fair degree of accuracy. (Author/SLD)
Descriptors: Comparative Analysis, Multitrait Multimethod Techniques, Simulation
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Bunting, Brendan P.; Adamson, Gary; Mulhall, Peter K. – Structural Equation Modeling, 2002
Studied planned incomplete data designs for the purpose of substantially reducing the amount of data required for multitrait-multimethod models. Simulations studied the effectiveness of Listwise Deletion, Pairwise Deletion, and the expectation maximization (EM) algorithm. Results indicate that EM is generally precise and efficient. (SLD)
Descriptors: Monte Carlo Methods, Multitrait Multimethod Techniques, Simulation
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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