In this paper, the authors examine differences between school types in the uses of ability grouping, instructional differences, and relationship of ability grouping to student mathematics achievement. Specifically, they address the following questions with teacher reports of students' mathematics placement in middle school: (1) Does the use of…

This study looks at the question of whether charter schools are more innovative in their provision of extended time policies than a matched set of traditional public schools. Data for this study was collected from a sample of traditional public and charter schools that partner with the Northwest Evaluation Association (NWEA) for interim…

This paper provides the first comparison of principals' preferences for teacher characteristics across traditional public and charter schools. Understanding how charter principals' preferences differ from those of public school principals contributes to scholarship on both teacher labor markets and charter schools. One of the first studies of…

The focus of this paper centers around timing associated with early childhood education programs and interventions using meta-analytic methods. At any given assessment age, a child's current age equals starting age, plus duration of program, plus years since program ended. Variability in assessment ages across the studies should enable everyone to…

Past research on school-level factors that predict children's development has focused largely on associations between a limited number of characteristics, such as school size and school resources, and children's academic achievement. Few studies take a more comprehensive look at the measurement of school climate or examine its relationship to…

The authors add to and extend the emerging evidence base of the effects of public preschool programs on child school readiness. Using a quasi-experimental, Regression Discontinuity (RD) design, they estimate the impacts of a universal preschool program on children's early numeracy, language, literacy, and executive function skills, both for the…

In this study the authors test whether matching using intact local groups improves causal estimates over those produced using propensity score matching at the student level. Like the recent analysis of Wilde and Hollister (2007), they draw on data from Project STAR to estimate the effect of small class sizes on student achievement. They propose a…

The purpose of this paper is threefold. The first is to test whether the pretest plays a greater role in bias reduction than any other single covariate, which the authors predict it will. The second is to examine the marginal improvement in bias reduction offered by having two pretest measurement waves. The authors predict that there will be some…

Given the different possibilities of matching in the context of multilevel data and the lack of research on corresponding matching strategies, the author investigates two main research questions. The first research question investigates the advantages and disadvantages of different matching strategies that can be pursued with multilevel data…

In this paper, the authors examine some of the ways that different types of non-equivalent comparison groups can be used to strengthen causal inferences based on regression discontinuity design (RDD). First, they consider a design that incorporates pre-test data on assignment scores and outcomes that were collected either before the treatment…

The purpose of this paper is to clarify the assumptions that must be met if this--multiple site, multiple mediator--strategy, hereafter referred to as "MSMM," is to identify the average causal effects (ATE) in the populations of interest. The authors' investigation of the assumptions of the multiple-mediator, multiple-site IV model demonstrates…

Regression discontinuity designs (RDDs) are considered to be one of the strongest nonexperimental designs available for the purpose of identifying the effects of an intervention. RDD can be used in situations in which assignment to a treatment group is based on a cutoff value on a continuous assignment variable. The impact of the intervention is…

The proposed paper studies the bias in the two-stage least squares, or 2SLS, estimator that is caused by the compliance-effect covariance (hereafter, the compliance-effect bias). It starts by deriving the formula for the bias in an infinite sample (i.e., in the absence of finite sample bias) under different circumstances. Specifically, it…

In this paper the authors extend recent work on mediation in a multilevel setting and on causal inference under interference among units to develop a template for the mediation analysis of group randomized educational interventions. The present work will contribute to the literature on interference, in particular on interference in the context of…

This meta-analysis is designed to build on the existing knowledge base by examining vocabulary interventions specifically for factors associated with child outcomes for at-risk children. Specifically, the authors addressed the following questions: (1) To what extent are vocabulary interventions an effective method for at-risk children prior to…