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…

Three multitrait-multimethod studies are described, which indicated that ill-defined solutions were frequent, and alternative parameterizations tended only to mask this problem. Moreover, method factors sometimes represented trait variance as opposed to method variance. However, specification of method effects as correlated uniqueness proved more…

Results of a reanalysis of previously published data (B. M. Byrne, 1989) support the correlated uniqueness model, diagnostic tests of the validity of confirmatory factor analysis (CFA), multitrait multimethod (MTMM) solutions, inclusion of external validity in MTMM design, and application of factorial invariance to test stability of CFA-MTMM…

The advantages of applying confirmatory factor analysis (CFA) to multitrait-multimethod (MTMM) data are widely recognized. However, because CFA as traditionally applied to MTMM data incorporates single indicators of each scale (i.e., each trait/method combination), important weaknesses are the failure to: (1) correct appropriately for measurement…