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Konold, Timothy R.; Sanders, Elizabeth – Practical Assessment, Research & Evaluation, 2022
The present study represents a novel method not yet used in the quantitative intersectionality literature -- the CT-C(M-1) model (Eid et al., 2003) -- for measuring and understanding the similarities and uniquenesses among intersectional subgroups. Intersectionality is a conceptual framework from which to investigate and remedy the ways in which…
Descriptors: Intersectionality, Models, Educational Environment, Power Structure
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
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
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
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
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
Hox, Joop J.; Kleiboer, Annet M. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
This study describes a comparison between retrospective questions and daily diaries inquiring about positive and negative support in spousal interactions. The design was a multitrait-multimethod matrix with trait factors of positive and negative support, and method factors of retrospective questions and daily asked questions. Five questions were…
Descriptors: Comparative Analysis, Interviews, Diaries, Spouses
Chafouleas, Sandra M.; Riley-Tillman, T. Chris; Sassu, Kari A.; LaFrance, Mary J.; Patwa, Shamim S. – Journal of Positive Behavior Interventions, 2007
In this study, the consistency of on-task data collected across raters using either a Daily Behavior Report Card (DBRC) or systematic direct observation was examined to begin to understand the decision reliability of using DBRCs to monitor student behavior. Results suggested very similar conclusions might be drawn when visually examining data…
Descriptors: Special Education, Student Behavior, Observation, Effect Size