Making causal inferences from a quasi-experiment is difficult. Sensitivity analysis approaches to address hidden selection bias thus have gained popularity. This study serves as an introduction to a simple but practical form of sensitivity analysis using Monte Carlo simulation procedures. We examine estimated treatment effects for a school-based…

While randomized experimental designs are the gold standard in education research concerned with causal inference, non-experimental designs are ubiquitous. For researchers who work with non-experimental data and are no less concerned for causal inference, the major problem is potential omitted variable bias. In this presentation, the authors…

Efforts to support children in schools require addressing not only academic issues, but also out-of-school factors that can affect students' ability to succeed. This study examined academic achievement of students participating in City Connects, a student support intervention operating in high-poverty elementary schools. The sample included 7,948…