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Direct linkCamburn, Eric M.; Huff, Jason T.; Goldring, Ellen B.; May, Henry – Elementary School Journal, 2010
Because research has shown that principals' practices can significantly impact teaching and learning in their schools through multiple avenues, it is critical to understand the validity of tools that measure principal practice. While the field has relied heavily on self-report surveys, little is known about their validity. This study compares…
Descriptors: Multitrait Multimethod Techniques, Instructional Leadership, Principals, Surveys
Peer reviewedKiers, Henk A. L.; And Others – Psychometrika, 1996
An approach to the analysis of multitrait-multimethod matrices is proposed in which improper solutions are ruled out and convergence is guaranteed. The approach, based on constrained variants of components analysis, provides component scores that can relate components to external variables. It is illustrated through simulated and empirical data.…
Descriptors: Equations (Mathematics), Matrices, Multitrait Multimethod Techniques
Peer reviewedTomas, Jose M.; Hontangas, Pedro M.; Oliver, Amparo – Multivariate Behavioral Research, 2000
Assessed two models for confirmatory factor analysis of multitrait-multimethod data through Monte Carlo simulation. The correlated traits-correlated methods (CTCM) and the correlated traits-correlated uniqueness (CTCU) models were compared. Results suggest that CTCU is a good alternative to CTCM in the typical multitrait-multimethod matrix, but…
Descriptors: Matrices, Monte Carlo Methods, Multitrait Multimethod Techniques, Simulation
Peer reviewedReichardt, Charles S.; Coleman, S. C. – Multivariate Behavioral Research, 1995
The criteria for assessing convergent and discriminant validity proposed by D. T. Campbell and D. W. Fiske (1959) are shown to be inadequate for either the additive or multiplicative structures of data in a multitrait-multimethod matrix. Model-specific criteria are more promising for assessing convergent and discriminant validity. (Author/SLD)
Descriptors: Correlation, Criteria, Evaluation Methods, Matrices
Peer reviewedGrayson, David; Marsh, Herbert W. – Psychometrika, 1994
In confirmatory factor analysis (CFA), models exist that are admissible and demonstrably identified where the factor loading matrix from latent to manifest variables is of less than full column rank, even though other models are not identified. Implications for CFA are discussed. (SLD)
Descriptors: Equations (Mathematics), Identification, Matrices, Models
Peer reviewedSchweizer, Karl – Applied Psychological Measurement, 1991
An equal-level approach is proposed for investigating multitrait-multimethod (MTMM) matrices with respect to other organizational units that contain additional information concerning a MTMM matrix's validity. The approach requires equality in "data level" before coefficients are submitted for evaluation. Disaggregation is central to…
Descriptors: Comparative Analysis, Correlation, Equations (Mathematics), Mathematical Models
Peer reviewedWothke, Werner; Browne, Michael W. – Psychometrika, 1990
The composite direct-product model for the multitrait-multimethod (MTMM) matrix is reparamaterized as a second-order factor analysis model. This process facilitates the use of widely available computer programs--LISREL and LISCOMP--for fitting the model. If bounds on phi and theta are not imposed to avoid inadmissible values, convergence problems…
Descriptors: Factor Analysis, Goodness of Fit, Mathematical Models, Matrices
