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Ghisletta, Paolo; McArdle, John J. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
In recent years the use of the latent curve model (LCM) among researchers in social sciences has increased noticeably, probably thanks to contemporary software developments and the availability of specialized literature. Extensions of the LCM, like the the latent change score model (LCSM), have also increased in popularity. At the same time, the R…
Descriptors: Statistical Analysis, Structural Equation Models, Computation, Computer Software
Koran, Jennifer; Hancock, Gregory R. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Valuable methods have been developed for incorporating ordinal variables into structural equation models using a latent response variable formulation. However, some model parameters, such as the means and variances of latent factors, can be quite difficult to interpret because the latent response variables have an arbitrary metric. This limitation…
Descriptors: Structural Equation Models, Data, Classification, Reading
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
Swanson, Jodi; Valiente, Carlos; Lemery-Chalfant, Kathryn – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2012
Components of the home environment are associated with children's academic functioning. The accumulation of risks in the home are expected to prove more detrimental to achievement than any one risk alone, but the processes accounting for this relation are unclear. Using an index of cumulative home risk (CHR) inclusive of protective factors, as…
Descriptors: Academic Achievement, Predictor Variables, Risk Assessment, Family Environment
Stemhagen, Kurt – Democracy & Education, 2011
This article describes an empirical project that studied fourth- through- eighth- grade math teachers' beliefs about teaching and learning and about the role of teaching and learning in broader society. Specifically, it examined relationships between teachers' reported beliefs and their use of transmittal, constructivist, and democratic classroom…
Descriptors: Constructivism (Learning), Democracy, Mathematics Teachers, Teacher Attitudes
Asparouhov, Tihomir; Muthen, Bengt – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Exploratory factor analysis (EFA) is a frequently used multivariate analysis technique in statistics. Jennrich and Sampson (1966) solved a significant EFA factor loading matrix rotation problem by deriving the direct Quartimin rotation. Jennrich was also the first to develop standard errors for rotated solutions, although these have still not made…
Descriptors: Structural Equation Models, Testing, Factor Analysis, Research Methodology

Rowe, Kenneth J.; Hill, Peter W. – Educational Research and Evaluation (An International Journal on Theory and Practice), 1998
Illustrates an approach to modeling educational effectiveness in classrooms by combining multilevel analysis and structural equation modeling in a two-step process. Data from a longitudinal study of 4,558 students in 334 class groups show how progress can be accounted for by the grouping effects of students within classes and schools. (SLD)
Descriptors: Elementary Education, Elementary School Students, Grouping (Instructional Purposes), Instructional Effectiveness