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…

The purpose of the present investigation is to examine the influence of sample size (N) and model complexity on a set of 23 goodness-of-fit (GOF) indices, including those typically used in confirmatory factor analysis. The focus was on two potential problems in assessing GOF: (1) some fit indices are substantially influenced by N so that tests of…

This investigation tested the ability of an a priori hierarchical structure of self-concept derived from the Shavelson model to explain responses to the Self Description Questionnaire (SDQ) III, and demonstrated the application and problems with the use of hierarchical confirmatory factor analysis (HCFA). (Author/JAZ)

Developed and tested the psychometric properties of the 38-item Self Description Questionnaire for Preschoolers. Found that the scale was reliable for young children, first-order and higher order confirmatory factor analysis models fit the data, and factor correlations were mostly moderate. Achievement test scores correlated moderately with…

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…

This study compares multitrait-multimethod analyses (MTMM) performed on items and factor scores derived from the items. Based upon this demonstration, researchers are encouraged to conduct a preliminary factor analysis before analyzing MTMM data whenever there is a doubt about the underlying trait structure. (Author/PN)

Newman (1984) examined the causal relations between math self-concept and math achievement in an 8-year longitudinal study using Linear Structural Relations (LISREL) analyses. He concluded that math self-concept did not influence subsequent math achievement. However, the study suffered in that math self-concept was inferred from a single-item…

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…