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…

State policymakers are confronting well-documented intersecting crises -- medical, economic, and racial -- with especially dire implications for educational equity. State education leaders face a moral urgency to both understand and respond to the challenges students are experiencing and to do so in ways that address burgeoning equity gaps.…

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,…

For years California has been a leader in public education. In 1999, the state implemented some of the strongest content standards in the country through its main accountability metric, the Academic Performance Index (API). The state has also signed onto the Common Core State Standards, taking important steps to ensure its students are college-…

Fournier, coordinator of the School Achievement Indicators Program (SAIP), claims that score differences are associated with linguistic and gender differences. These results have long been substantiated. The expectation-setting process has little reliability or validity. SAIP does not help teachers, and should not determine what students learn.…

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…

Discusses which kinds of data educators should respect and which they should reject. Asserts that most state accountability tests fail to produce the kinds of data that will improve teaching and learning. Teachers can get the data they need from their own instructionally useful classroom assessments. (WFA)