Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…

Empirically, the link between classmate ability and individual-level student achievement has been established. And yet, within the scope of this body of literature, there is a dearth of studies examining if a relationship also persists between classmate ability and non-achievement outcomes--that is, social skills. This article fills this research…

Do teachers assess same-race students more favorably? This paper uses nationally representative data on teacher assessments of student ability that can be compared with test scores to determine whether teachers give better assessments to same-race students. The data set follows students from kindergarten to grade 5, a period during which racial…

Teachers require knowledge of the unique skills that each child brings to the classroom in order to effectively target instruction towards students' learning needs. Despite substantial investments in programs aimed at enhancing teacher knowledge of individual students' skills (KISS), we know surprisingly little about how KISS is distributed or how…

This paper reports on a study conducted to investigate the consistency of the results between 2 approaches to estimating school effectiveness through value-added modeling. Estimates of school effects from the layered model employing item response theory (IRT) scaled data are compared to estimates derived from a discrete growth model based on the…

In this paper, the author looks at whether teachers give better subjective assessments to students of their own race and/or gender, conditionally on test scores. Subjective assessments are pervasive in schools; most teachers fill school records that include comments on the child's ability or behavior. And important decisions such as tracking,…