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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
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
Donovan, Corinne Baron; Mercier, Kevin; Phillips, Sharon R. – Measurement in Physical Education and Exercise Science, 2015
The Centers for Disease Control have suggested that physical education plays a role in promoting healthy lifestyles. Prior research suggests a link between attitudes toward physical education and physical activity outside school. The current study provides additional evidence of construct validity through a validation across two instruments…
Descriptors: Physical Education, Construct Validity, Test Validity, Life Style
Geiser, Christian; Eid, Michael; West, Stephen G.; Lischetzke, Tanja; Nussbeck, Fridtjof W. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Multimethod data analysis is a complex procedure that is often used to examine the degree to which different measures of the same construct converge in the assessment of this construct. Several authors have called for a greater understanding of the definition and meaning of method effects in different models for multimethod data. In this article,…
Descriptors: Structural Equation Models, Factor Analysis, Multitrait Multimethod Techniques, Comparative Analysis
Lowe, Patricia A. – Journal of Psychoeducational Assessment, 2014
The psychometric properties of the Revised Children's Manifest Anxiety Scale-Second Edition (RCMAS-2) were examined in a sample of 1,003 U.S. elementary and secondary students in Grades 2 to 12. Confirmatory factor analyses (CFAs) were performed comparing the five-factor (target) model consisting of three anxiety (Physiological Anxiety, Social…
Descriptors: Psychometrics, Anxiety, Elementary School Students, Secondary School Students
Castro-Schilo, Laura; Widaman, Keith F.; Grimm, Kevin J. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
In 1959, Campbell and Fiske introduced the use of multitrait-multimethod (MTMM) matrices in psychology, and for the past 4 decades confirmatory factor analysis (CFA) has commonly been used to analyze MTMM data. However, researchers do not always fit CFA models when MTMM data are available; when CFA modeling is used, multiple models are available…
Descriptors: Multitrait Multimethod Techniques, Factor Analysis, Structural Equation Models, Monte Carlo Methods
Rhemtulla, Mijke; Brosseau-Liard, Patricia E.; Savalei, Victoria – Psychological Methods, 2012
A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…
Descriptors: Factor Analysis, Computation, Simulation, Sample Size
Leite, Walter L.; Svinicki, Marilla; Shi, Yuying – Educational and Psychological Measurement, 2010
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…
Descriptors: Multitrait Multimethod Techniques, Construct Validity, Reliability, Factor Analysis
Marsh, Herbert W.; Nagengast, Benjamin; Morin, Alexandre J. S.; Parada, Roberto H.; Craven, Rhonda G.; Hamilton, Linda R. – Journal of Educational Psychology, 2011
Existing research posits multiple dimensions of bullying and victimization but has not identified well-differentiated facets of these constructs that meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors that are not so highly correlated as to detract…
Descriptors: Locus of Control, Test Bias, Bullying, Structural Equation Models
Dorman, Jeffrey P. – Learning Environments Research, 2008
This article describes the validation of scores on actual and preferred forms of the What Is Happening In this Class? (WIHIC). The WIHIC is a 56-item instrument that assesses seven classroom environment dimensions: Student Cohesiveness, Teacher Support, Involvement, Investigation, Task Orientation, Cooperation and Equity. A sample of 978 secondary…
Descriptors: Multitrait Multimethod Techniques, Construct Validity, Foreign Countries, Psychometrics

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
Hill, Crystal R.; Hughes, Jan N. – School Psychology Quarterly, 2007
This study examined the factor structure of the parent and teacher versions of the Strengths and Difficulties Questionnaire (SDQ; R. Goodman, 1997) with a sample of first-grade children at risk for educational failure. The 5-factor model previously found in studies using exploratory factor analysis was fit to the data for both parent and teacher…
Descriptors: Questionnaires, Parents, Ethnic Groups, Test Validity
Wothke, Werner – 1987
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…
Descriptors: Analysis of Covariance, Correlation, Estimation (Mathematics), Factor Analysis
Peterson, Gary W. – 1986
Construct validity of a prototype baccalaureate generic problem solving skills test was explored through a structural analysis. The assessment method used three real-life problem situations crossed by six generic skills, namely Decision-Making, Communication, Analysis, Synthesis, Valuing and Execution. There were six written responses for each…
Descriptors: Cognitive Processes, Cognitive Tests, College Students, Factor Analysis
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