A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…

Recent Monte Carlo research has illustrated that the traditional method for assessing the construct-related validity of assessment center (AC) post-exercise dimension ratings (PEDRs), an application of confirmatory factor analysis (CFA) to a multitrait-multimethod matrix, produces inconsistent results [Lance, C. E., Woehr, D. J., & Meade, A. W.…

During the last 15 years, there has been a steady increase in the popularity and sophistication of the confirmatory factor analysis approach to multitrait-multimethod (MTMM) data. However, important problems exist, the most serious being the ill-defined solutions that plague MTMM studies and the assumption that so-called method factors primarily…

Goal orientation research has developed two branches. One branch uses a two-factor dispositional model. The other branch uses a three-factor domain-specific model. The present multiwave study examines dispositional goal orientation constructs through both two and three-factor models using repeated-measure confirmatory factor analysis. Results…