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)

Compared different models suggested for the analysis of multitrait multimethod (MTMM) experiments for their fit to 87 data sets collected in the United States. The fit of models based on polychoric correlations is much worse than the fit of models based on product moment correlations, but in both cases a model that assumes additive method effects…

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…

Studied the convergent and discriminant validity of multiple measures of perceived competence and obtained 12 separate multitrait-multimethod (MTMM) data sets for 1,228 children in grades 3 through 8. Examined the bias inherent in appraisals of children's competence and estimated manifest and latent variable mean differences between boys and girls…