This study proposes a new model, termed the multiple membership piecewise growth model (MM-PGM), to handle individual mobility across clusters frequently encountered in longitudinal studies, especially in educational research wherein some students could attend multiple schools during the course of the study. A real data set containing some…

School-average achievement is often reported to have positive effects on individual achievement (peer spillover effect). However, it is well established that school-average achievement has negative effects on academic self-concept (big-fish-little-pond effect [BFLPE]) and that academic self-concept and achievement are positively correlated and…

There is considerable variation in state policies related to the certification required for teachers in kindergarten and first grade, and relatively little is known about these policies' effects on student learning. This study considers whether children who have kindergarten and first-grade teachers with certification in early childhood education…

This article examines the relationship between parental networks and parental school involvement during the elementary school years. Using a large, nationally representative data set of elementary school students--the Early Childhood Longitudinal Study-Kindergarten Cohort--and contextual data from the 2000 U.S. Census, our multilevel analysis…

As applications of multilevel modelling in educational research increase, researchers realize that multilevel data collected in many educational settings are often not purely nested. The most common multilevel non-nested data structure is one that involves student mobility in longitudinal studies. This article provides a methodological review of…

Policymakers view parental involvement (PI) as a crucial component of school reform efforts, but evidence of its effect on student achievement is equivocal. Using the Early Childhood Longitudinal Study-Kindergarten Cohort dataset, we examined the long-term impact on student- and school-level achievement of three types of school-based PI: PI to…

This study considers whether children who have kindergarten and first grade teachers with certification in early childhood education experience greater gains in reading and math achievement compared to children whose teachers have only elementary education certification. Using data from the Early Childhood Longitudinal Study (ECLS-K), the study…

This study employed the concept of teachers' sense of responsibility for students' learning to examine the extent to which the gap in math learning growth is reduced and whether such attitudes can improve children's learning outcomes to a degree that is above and beyond their expected achievement relative to their initial academic skills. Analysis…

Teacher professional development has long been of interest since it may affect teachers' learning, the practice of teaching, and student learning. Although empirical research has mainly explored the effect of specific professional development interventions on student achievement, these inventions have been initiated outside the school, and little…

Dominance analysis (DA) is a method used to evaluate the relative importance of predictors that was originally proposed for linear regression models. This article proposes an extension of DA that allows researchers to determine the relative importance of predictors in hierarchical linear models (HLM). Commonly used measures of model adequacy in…

This study explores the cost-effectiveness ratios associated with individual tutoring, intensive reading/language arts instruction, and a focus on core subject areas. Using the Early Childhood Longitudinal Study (ECLS-K) database, this study analyzes these programs using a three-level hierarchical linear model (HLM) with a nationally…