Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…

Purpose: This paper argues that in a well-organised school with strong leadership and vision coupled with a concerted effort to improve the teaching performance of each teacher, student achievement can be enhanced. The purpose of this paper is to demonstrate that while macro-effect sizes such as "whole of school" metrics are useful for…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

A high school principal and faculty celebrated after hearing that their students in each of the quartiles had improved in both reading and mathematics on the state accountability assessment. Because of the percent of increases in achievement levels on the test, the Florida Department of Education awarded the school an A for 2011. Shortly…

In March 1996, the Consortium on Chicago School Research (CCSR) proposed to evaluate the Chicago Annenberg Challenge's (CAC) newly funded reform efforts in the Chicago public schools. The evaluation aimed to understand how schools involved in CAC efforts developed as organizations and, in turn, how these developments benefited students. The study…