Several multivariate statistical methodologies have been proposed to ensure objective and quantitative evaluation of the multitrait-multimethod matrix. The paper examines the performance of confirmatory factor analysis and covariance component models. It is shown, both empirically and formally, that confirmatory factor analysis is not a reliable…

The relationship of multiple linear regression to various multivariate statistical techniques is discussed. The importance of the standardized partial regression coefficient (beta weight) in multiple linear regression as it is applied in path, factor, LISREL, and discriminant analyses is emphasized. The multivariate methods discussed in this paper…

The way in which trait and rater variance combine in multitrait-multirater (MTMR) performance appraisal data is explored. Implications of the confirmatory factor analytic model and the composite direct product (CDP) model for MTMR data are examined. Superior fit of the CDP model for four data sets is discussed. (SLD)

The construct validity of four self-concept (SC) traits (general SC, academic SC, English SC, mathematics SC), as measured by three different scales (Likert, semantic differential, Guttman) for low- (n=252) and high-track (n=588) Canadian high school students, was assessed using both the Campbell-Fiske criteria, and a comparison of hierarchically…

This study investigated construct validity and factorial invariance of a performance assessment of reading comprehension and writing proficiency through a multitrait-multimethod (MTMM) structure using confirmatory factor analysis. The performance assessment was administered to 1,023 fifth and sixth graders. Interrater reliability was examined for…