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Shin, Yongyun – Journal of Educational and Behavioral Statistics, 2012
Does reduced class size cause higher academic achievement for both Black and other students in reading, mathematics, listening, and word recognition skills? Do Black students benefit more than other students from reduced class size? Does the magnitude of the minority advantages vary significantly across schools? This article addresses the causal…
Descriptors: African American Students, Class Size, Recognition (Achievement), Causal Models
Sobel, Michael E. – Journal of Educational and Behavioral Statistics, 2008
Treatments in randomized studies are often targeted to key mediating variables. Researchers want to know if the treatment is effective and how the mediators affect the outcome. The data are often analyzed using structural equation models (SEMs), and model coefficients are interpreted as effects. However, only assignment to treatment groups is…
Descriptors: Structural Equation Models, Causal Models, Identification
von Davier, Alina A. – Journal of Educational and Behavioral Statistics, 2008
The two most common observed-score equating functions are the linear and equipercentile functions. These are often seen as different methods, but von Davier, Holland, and Thayer showed that any equipercentile equating function can be decomposed into linear and nonlinear parts. They emphasized the dominant role of the linear part of the nonlinear…
Descriptors: Equated Scores, Causal Models, Structural Equation Models, Data Collection
Graham, James M. – Journal of Educational and Behavioral Statistics, 2008
Statistical procedures based on the general linear model (GLM) share much in common with one another, both conceptually and practically. The use of structural equation modeling path diagrams as tools for teaching the GLM as a body of connected statistical procedures is presented. A heuristic data set is used to demonstrate a variety of univariate…
Descriptors: Causal Models, Structural Equation Models, Multivariate Analysis, Multiple Regression Analysis