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Direct linkKoch, 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
Dickinson, Emily R.; Adelson, Jill L. – Journal of Advanced Academics, 2016
Practitioners and researchers interested in understanding student achievement, its predictors, and how it relates to other student outcomes are likely unaware of how the source information about achievement may offer subtly different pictures. This study applies multitrait-multimethod (MTMM) confirmatory factor analysis (CFA) within a structural…
Descriptors: Student Evaluation, Academic Achievement, Factor Analysis, Multitrait Multimethod Techniques
Street, Karin Elisabeth Sørlie; Malmberg, Lars-Erik; Stylianides, Gabriel J. – ZDM: The International Journal on Mathematics Education, 2017
Students' self-efficacy expectations (SEE) in mathematics are associated with their engagement and learning experiences. Going beyond previous operationalisations of SEE we propose a new instrument that takes into account not only "facet-specificity" (expectations related to particular competences or skills) and "strength"…
Descriptors: Self Efficacy, Mathematics Tests, Mathematics Achievement, Performance Based Assessment
