We compared six different analytic models for multitrait-multimethod (MTMM) data in terms of convergence, admissibility, and model fit to 258 samples of previously reported data. Two well-known models, the correlated trait-correlated method (CTCM) and the correlated trait-correlated uniqueness (CTCU) models, were fit for reference purposes in…

The authors examined the dimensionality of the VARK learning styles inventory. The VARK measures four perceptual preferences: visual (V), aural (A), read/write (R), and kinesthetic (K). VARK questions can be viewed as testlets because respondents can select multiple items within a question. The correlations between items within testlets are a type…

Using hierarchical confirmatory factor analysis to analyze multitrait-multimethod data, the validity of the Satisfaction with My Supervisor Scale (SWMSS) was evaluated by comparing the SWMSS to commitments to the organization, department, and occupation for 100 professional employees of a multinational software firm. The validity of the SWMSS was…

Whether 12 university students could discriminate validly between the correctness and originality of responses of 150 elementary school children to 3 creativity tests was studied as a determination of the discriminant validity of the tests through the multitrait-multimethod procedure. There was compelling evidence for convergent and discriminant…

Two large samples of high school teachers were rated for teaching effectiveness by the teachers and by their students, using the IDEA Form H. Factor analyses yielded highly similar underlying dimensions. Convergent validity coefficients were significant for all factors, supporting the validity of student ratings. (Author/GDC)