The authors show how structural equation modeling can be applied to analyze change in longitudinal multitrait-multimethod (MTMM) studies. For this purpose, an extension of latent difference models (McArdle, 1988; Steyer, Eid, & Schwenkmezger, 1997) to multiple constructs and multiple methods is presented. The model allows investigators to separate…

The goal was to examine the relation of covert/relational and overt/physical targeted peer victimization (TPV) to each other, to positive and negative self-cognitions, and to symptoms of depression. In a sample of elementary and middle school children, TPV was assessed by self-report, peer-nomination, and parent report in a multitrait-multimethod…

This article examines 4 approaches for explaining shared method variance, each applied to a longitudinal trait-state-occasion (TSO) model. Many approaches have been developed to account for shared method variance in multitrait-multimethod (MTMM) data. Some of these MTMM approaches (correlated method, orthogonal method, correlated method minus one,…

The analysis of convergent and discriminant validity is an integral part of the construct validation process. Models for analyzing the convergent and discriminant validity have typically been developed for cross-sectional data. There exist, however, only a few approaches for longitudinal data that can be applied for analyzing the construct…

The question as to which structural equation model should be selected when multitrait-multimethod (MTMM) data are analyzed is of interest to many researchers. In the past, attempts to find a well-fitting model have often been data-driven and highly arbitrary. In the present article, the authors argue that the measurement design (type of methods…

In practice, the inclusion of correlated residuals in latent-variable models is often regarded as a statistical sleight of hand, if not an outright form of cheating. Consequently, researchers have tended to allow only as many correlated residuals in their models as are needed to obtain a good fit to the data. The current article demonstrates that…

Presents maximum-likelihood confirmatory factor analysis (CFA) as a means for interpreting complete and incomplete multitrait-multimethod designs. CFA was applied to four data sets representing four designs and to an artificial data set to demonstrate its use in test validation designs to assess discriminant, convergent, and construct validity.…

Compared alternative methods for examining relationship between two constructs and estimated true relationship between social skill and depression. Data from 68 subjects suggest that multitrait-multimethod data sets, analyzed via confirmatory factor-analytic techniques, can greatly enhance theory testing and development. (Author/NB)

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…