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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
Koch, Tobias; Schultze, Martin; Burrus, Jeremy; Roberts, Richard D.; Eid, Michael – Journal of Educational and Behavioral Statistics, 2015
The numerous advantages of structural equation modeling (SEM) for the analysis of multitrait-multimethod (MTMM) data are well known. MTMM-SEMs allow researchers to explicitly model the measurement error, to examine the true convergent and discriminant validity of the given measures, and to relate external variables to the latent trait as well as…
Descriptors: Structural Equation Models, Hierarchical Linear Modeling, Factor Analysis, Multitrait Multimethod Techniques
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
Muijselaar, Marloes M. L.; Swart, Nicole M.; Steenbeek-Planting, Esther G.; Droop, Mienke; Verhoeven, Ludo; de Jong, Peter F. – Journal of Educational Psychology, 2017
Many recent studies have aimed to demonstrate that specific types of reading comprehension depend on different underlying cognitive abilities. In these studies, it is often implicitly assumed that reading comprehension is a multidimensional construct. The general aim of this study was to examine the dimensionality of a large pool of reading…
Descriptors: Reading Comprehension, Foreign Countries, Grade 4, Elementary School Students
Pae, Hye K. – Educational Research and Evaluation, 2012
Multiple traits of language proficiency as well as test method effects were concurrently analyzed to investigate interrelations of construct validity, convergent validity, and discriminant validity using multitrait-multimethod (MTMM) matrices. A total of 585 test takers' scores were derived from the field test of the "Pearson Test of English…
Descriptors: Multitrait Multimethod Techniques, Language Proficiency, Construct Validity, Validity
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
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
Eid, Michael; Nussbeck, Fridtjof W.; Geiser, Christian; Cole, David A.; Gollwitzer, Mario; Lischetzke, Tanja – Psychological Methods, 2008
The question as to which structural equation model should be selected when multitrait-multimethod (MTMM) data are analyzed is of interest to many researchers. In the past, attempts to find a well-fitting model have often been data-driven and highly arbitrary. In the present article, the authors argue that the measurement design (type of methods…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Statistical Analysis, Error of Measurement
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
Konold, Timothy R.; Pianta, Robert C. – Journal of Psychoeducational Assessment, 2007
Standardized rating scales remain the primary mechanism through which child behaviors are recorded. Despite the many advantages of such systems, the documented lack of agreement among different informants' ratings of the same child remains a pervasive problem for clinicians. This study examines the degree to which observed behavior ratings were…
Descriptors: Behavior Problems, Child Behavior, Behavior Rating Scales, Interrater Reliability
Gaudron, Jean-Philippe; Vautier, Stephane – Journal of Vocational Behavior, 2007
This study investigates the latent structure of individual differences in vocational, leisure, and family interests. The participants consisted of 302 French adults who rated their like or dislike for activities based on Holland's RIASEC typology and presented in three life domains: work, family and leisure. The multitrait-multimethod model…
Descriptors: Multitrait Multimethod Techniques, Vocational Interests, Individual Differences, Foreign Countries
Sawaki, Yasuyo; Stricker, Lawrence; Oranje, Andreas – ETS Research Report Series, 2008
The present study investigated the factor structure of a field trial sample of the Test of English as a Foreign Language™ Internet-based test (TOEFL® iBT). An item-level confirmatory factor analysis (CFA) was conducted for a polychoric correlation matrix of items on a test form completed by 2,720 participants in the 2003-2004 TOEFL iBT Field…
Descriptors: Factor Structure, Computer Assisted Testing, Multitrait Multimethod Techniques, Scores
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
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