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Dumenci, Levent; Yates, Phillip D. – Educational and Psychological Measurement, 2012
Estimation problems associated with the correlated-trait correlated-method (CTCM) parameterization of a multitrait-multimethod (MTMM) matrix are widely documented: the model often fails to converge; even when convergence is achieved, one or more of the parameter estimates are outside the admissible parameter space. In this study, the authors…
Descriptors: Correlation, Models, Multitrait Multimethod Techniques, Matrices
Camburn, 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
Efstratopoulou, Maria; Janssen, Rianne; Simons, Johan – Research in Developmental Disabilities: A Multidisciplinary Journal, 2012
The study examines the agreement among raters on children's problematic behaviors. A multitrait-multimethod (MTMM) matrix was applied to a normative sample of elementary school-aged children (N = 841). The participants were rated by their physical educators, using the Motor Behavior Checklist for children (MBC; Efstratopoulou, Janssen, &…
Descriptors: Check Lists, Behavior Problems, Child Behavior, Rating Scales

Kiers, 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

Levin, Joseph – Multivariate Behavioral Research, 1988
A means of transforming multitrait-multimethod (MTMM) matrices into a classical multiple group factor analysis is outlined. A reanalysis of two numerical illustrations shows that the classical procedure yields results similar to those reached by D. N. Jackson's (1975) two-step procedure for analysis of MTMM matrices. (TJH)
Descriptors: Factor Analysis, Matrices, Multitrait Multimethod Techniques

Tomas, 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

Reichardt, 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

Grayson, 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

Schweizer, 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

Brannick, Michael T.; Spector, Paul E. – Applied Psychological Measurement, 1990
Applications of the confirmatory factor analysis block-diagonal model to published data on 18 multitrait-multimethod matrices were reviewed to show widespread estimation problems. Possible causes of estimation difficulties were explored using computer simulations. These problems make the block-diagonal approach less useful than has generally been…
Descriptors: Estimation (Mathematics), Mathematical Models, Matrices, Multitrait Multimethod Techniques

Stowe, Randall W. – Educational and Psychological Measurement, 1985
The multitrait-multimethod matrix procedure was employed to examine the convergent and discriminant validity of the five subscales of the Career Maturity Inventory (CMI) Attitude Scale, Counseling Form B-1. (Author/LMO)
Descriptors: Attitude Measures, High Schools, Matrices, Multitrait Multimethod Techniques

Wothke, 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
Furlow, Carolyn F.; Beretvas, S. Natasha – Psychological Methods, 2005
Three methods of synthesizing correlations for meta-analytic structural equation modeling (SEM) under different degrees and mechanisms of missingness were compared for the estimation of correlation and SEM parameters and goodness-of-fit indices by using Monte Carlo simulation techniques. A revised generalized least squares (GLS) method for…
Descriptors: Rejection (Psychology), Monte Carlo Methods, Least Squares Statistics, Correlation
Bechger, Timo M.; Maris, Gunter – Psicologica: International Journal of Methodology and Experimental Psychology, 2004
This paper is about the structural equation modelling of quantitative measures that are obtained from a multiple facet design. A facet is simply a set consisting of a finite number of elements. It is assumed that measures are obtained by combining each element of each facet. Methods and traits are two such facets, and a multitrait-multimethod…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Schematic Studies, Correlation

Kremer, John F. – Journal of Educational Psychology, 1990
The construct validity of 14 measures used in college faculty personnel decisions was evaluated through a multitrait-multimethod matrix for data from 89 faculty members in 7 departments. The three-pronged model of teaching, research, and service was not validated. Exploratory factor analysis identified five or six behavior domains for evaluation.…
Descriptors: College Faculty, Construct Validity, Educational Research, Evaluation Methods