The presence of suppression (and multicollinearity) in multiple regression analysis complicates interpretation of predictor-criterion relationships. The mathematical conditions that produce suppression in regression analysis have received considerable attention in the methodological literature but until now nothing in the way of an analytic…

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…

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…

This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…

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…

Nonlinear growth curves or growth curves that follow a specified nonlinear function in time enable researchers to model complex developmental patterns with parameters that are easily interpretable. In this article we describe how a variety of sigmoid curves can be fit using the M"plus" structural modeling program and the nonlinear…

As more students enroll at community colleges, questions are raised about whether learning is the same in the two- and four-year sectors, both overall and for sub-groups, and whether effects of student backgrounds and college experiences on learning are similar. This study used structural equation modeling with CCSSE and NSSE data from a sample…

Multicollinearity is a well-known general problem, but it also seriously threatens valid interpretations in structural equation models. Illustrating this problem, J. Pietsch, R. Walker, and E. Chapman (2003) found paths leading to achievement were apparently much larger for self-efficacy (.55) than self-concept (-.05), suggesting--erroneously, as…

The main purpose of this paper is to demonstrate how to apply the Hierarchical Linear Modeling (HLM) technique to multi-wave Curriculum-Based Measurement (CBM) measures in modeling academic growth and assessing its relations to student-and instruction-related variables. HLM has advantages over other statistical methods (e.g., repeated measures…

Structural equation modeling (SEM) refers to a family of statistical techniques that explores the relationships among a set of variables. Structural equation modeling provides an extremely versatile method to model very specific hypotheses involving systems of variables, both measured and unmeasured. Researchers can use SEM to study patterns of…

Reviewed construct of resilience and adaptation by measuring psychosocial functioning, self-esteem, academic performance, absence or low level of drug use, gang involvement, and delinquent activities among 877 at-risk youths. Found adjustment and low level of antisocial behavior as two latent constructs of resilience and adaptation. (Author/DLH)