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Direct linkTenko Raykov; Bingsheng Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Multidimensional measuring instruments are often used in behavioral, social, educational, marketing, and biomedical research. For these scales, the paper discusses how to find the optimal score based on their components that is associated with the highest possible reliability. Within the framework of structural equation modeling, an approach to…
Descriptors: Multidimensional Scaling, Measurement Equipment, Measurement Techniques, Test Reliability
Greiff, Samuel; Wustenberg, Sascha; Funke, Joachim – Applied Psychological Measurement, 2012
This article addresses two unsolved measurement issues in dynamic problem solving (DPS) research: (a) unsystematic construction of DPS tests making a comparison of results obtained in different studies difficult and (b) use of time-intensive single tasks leading to severe reliability problems. To solve these issues, the MicroDYN approach is…
Descriptors: Problem Solving, Tests, Measurement, Structural Equation Models
Raykov, Tenko; du Toit, Stephen H. C. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
A method for estimation of reliability for multiple-component measuring instruments with clustered data is outlined. The approach is applicable with hierarchical designs where individuals are nested within higher order units and exhibit possibly related performance on components of a scale of interest. The procedure is developed within the…
Descriptors: Structural Equation Models, Computation, Measurement Techniques, Test Reliability
Bowles, Tyler J.; Jones, Jason – Journal of College Student Retention: Research, Theory & Practice, 2004
Single equation regression models have been used rather extensively to test the effectiveness of Supplemental Instruction (SI). This approach, however, fails to account for the possibility that SI attendance and the outcome of SI attendance are jointly determined endogenous variables. Moreover, the standard approach fails to account for the fact…
Descriptors: Academic Ability, Supplementary Education, Instructional Effectiveness, Regression (Statistics)
