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Konold, Timothy; Sanders, Elizabeth A. – Measurement: Interdisciplinary Research and Perspectives, 2020
Measuring and understanding the nature of informant/rater effects and differences (Level 1) on a common trait when the target of measurement is at the organizational level (Level 2) involves a number of methodological considerations. Although previous research has discussed single-level latent variable applications of the correlated…
Descriptors: Hierarchical Linear Modeling, Multitrait Multimethod Techniques, Measurement, Models
Fan, Yi; Lance, Charles E. – Educational and Psychological Measurement, 2017
The correlated trait-correlated method (CTCM) model for the analysis of multitrait-multimethod (MTMM) data is known to suffer convergence and admissibility (C&A) problems. We describe a little known and seldom applied reparameterized version of this model (CTCM-R) based on Rindskopf's reparameterization of the simpler confirmatory factor…
Descriptors: Multitrait Multimethod Techniques, Correlation, Goodness of Fit, Models
Convergence, Admissibility, and Fit of Alternative Confirmatory Factor Analysis Models for MTMM Data
Lance, Charles E.; Fan, Yi – Educational and Psychological Measurement, 2016
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…
Descriptors: Multitrait Multimethod Techniques, Factor Analysis, Models, Goodness of Fit
Chaidi, Thirachai; Damrongpanich, Sunthorapot – Educational Research and Reviews, 2016
The purposes of this study were to develop a model to measure the belief in Buddhism of junior high school students at Chiang Rai Buddhist Scripture School, and to determine construct validity of the model for measuring the belief in Buddhism by using Multitrait-Multimethod analysis. The samples were 590 junior high school students at Buddhist…
Descriptors: Buddhism, Beliefs, Attitude Measures, Multitrait Multimethod Techniques
Park, Siwon – Journal of Pan-Pacific Association of Applied Linguistics, 2017
This paper examines how different test methods may tap different aspects of second language knowledge. It employs multiple-choice (MC) and constructed response (CR) items which yield distinct or convergent information in the computer delivered testing of English in its presentation of this factor. In order to examine the effects of test method, a…
Descriptors: Evaluation Methods, Second Language Learning, English (Second Language), Computer Assisted Testing
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
Pohl, Steffi; Steyer, Rolf – Multivariate Behavioral Research, 2010
Method effects often occur when constructs are measured by different methods. In traditional multitrait-multimethod (MTMM) models method effects are regarded as residuals, which implies a mean method effect of zero and no correlation between trait and method effects. Furthermore, in some recent MTMM models, traits are modeled to be specific to a…
Descriptors: Multitrait Multimethod Techniques, Models, Methods, Correlation
Zhang, Guangjian; Browne, Michael W. – Psychometrika, 2007
The composite direct product (CDP) model is a multiplicative model for multitrait-multimethod (MTMM) designs. It is extended to incomplete MTMM correlation matrices where some trait-method combinations are not available. Rules for omitting trait-method combinations without resulting in an indeterminate model are also suggested. Maximum likelihood…
Descriptors: Multitrait Multimethod Techniques, Correlation, Computation, Models
Cole, David A.; Ciesla, Jeffrey A.; Steiger, James H. – Psychological Methods, 2007
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…
Descriptors: Research Design, Multitrait Multimethod Techniques, Measurement Techniques, Correlation

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

Marsh, Herbert W. – 1992
Extending research on the Marsh/Shavelson model of self-concept, a set of 14 academic self-concept scales was related to school performance in 8 school subjects for a sample of 507 high school students. Correlations between matching areas of self-concept and achievement (0.45 to 0.70; mean r=.57) were substantial and larger than correlations…
Descriptors: Academic Achievement, Content Analysis, Correlation, Factor Analysis

Marsh, Herbert W.; Byrne, Barbara M. – Multivariate Behavioral Research, 1993
Extensions of the confirmatory factor analysis approach to multitrait-multimethod data are demonstrated, and self-other agreement on multiple dimensions of self-concept are evaluated in 2 studies investigating the ability of significant others to infer multiple dimensions of self-concept for 151 Australian and 941 Canadian college students. (SLD)
Descriptors: College Students, Correlation, Cross Cultural Studies, Factor Structure