Nationally, 18% of principals turn over each year, yet research has not yet credibly established the effects of this turnover on student and teacher outcomes. Using statewide data from Missouri and Tennessee, we employ a difference-in-differences model with a matched comparison group to estimate arguably causal effects. We find that principal…

Teacher turnover is a challenge for U.S. public schools. Research suggests that teachers' perceptions of their school working conditions influence their leaving decisions. Related research suggests that principals may be in the best position to influence school working conditions. Using 4 years of panel data constructed from the North Carolina…

A growing number of states experimented with alternative governance structures in response to pressure to raise student achievement. Post-Katrina experimentation in New Orleans was widely regarded as a model example of new governance reforms and provided a unique opportunity to learn about the variation in student achievement and behavior within…

It is often difficult and costly to obtain individual-level student achievement data, yet, researchers are frequently reluctant to use school-level achievement data that are widely available from state websites. We argue that public-use aggregate school-level achievement data are, in fact, sufficient to address a wide range of evaluation questions…

Expansion of the use of student test score data to measure teacher performance has fueled recent policy interest in using those data to measure the effects of school administrators as well. However, little research has considered the capacity of student performance data to uncover principal effects. Filling this gap, this article identifies…

Evidence that teachers' short-term instructional effects persist over time and predict substantial long-run impacts on students' lives provides much of the impetus for a wide range of educational reforms focused on identifying and responding to differences in teachers' value-added to student learning. However, relatively little research has…

We use data from a randomized controlled trial of a middle school science intervention to explore the causal mechanisms by which the intervention produced previously documented gains in student achievement. Our study finds that implementation fidelity, operationalized as a measure of the frequency of implementation of the cognitive science…

While most educators assume that not all students try their best on achievement tests, no current research examines if behaviors associated with low test effort, like rapidly guessing on test items, affect teacher value-added estimates. In this article, we examined the prevalence of rapid guessing to determine if this behavior varied by grade,…

We contribute to debate about causal inferences in educational research in two ways. First, we quantify how much bias there must be in an estimate to invalidate an inference. Second, we utilize Rubin's causal model to interpret the bias necessary to invalidate an inference in terms of sample replacement. We apply our analysis to an inference…

This article investigates the differences in academic achievement trajectories from elementary through middle school among English Learner (EL) students in four different instructional programs: English Immersion (EI), Transitional Bilingual (TB), Developmental Bilingual (DB), and Dual Immersion (DI). Comparing students with the same parental…

One point of debate in the recent controversy in the media and among policy analysts over the academic achievement of charter school students is whether the charter students are in some way harder to educate than their counterparts enrolled in traditional public schools. This article examines this question using data from the 2002-2003 school year…

This article examines how controlling statistically for baseline covariates, especially pretests, improves the precision of studies that randomize schools to measure the impacts of educational interventions on student achievement. Empirical findings from five urban school districts indicate that (1) pretests can reduce the number of randomized…

ifferent evaluation models were applied to data from a high school career education program to investigate problems in statistical conclusion validity and program effectiveness judgments. If potential threats to internal validity are analyzed and protection strategies are developed, more confidence in unplanned ex post facto design using a…

The designation of district central-office administrators to operate as boundary spanners among the central office, schools, and community agencies can help with the implementation of challenging policy demands. However, educational research teaches little about central-office boundary spanners in practice. This article addresses that gap with…

The following models targeting at-risk elementary students are compared for cost: (1) Success for All (Robert Slavin), (2) Accelerated Schools (Henry Levin), and (3) School Development Program (James Comer). The Slavin model is the most costly in expenditure, and the Levin model requires the most additional staff time. (SLD)