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…

Practices identified by experts as critical variables in eliciting writing samples were checked against 12 randomly selected studies using holistic ratings to derive descriptions of inferential statistical results for described samples. The studies often lacked precise information about these variables, limiting understanding of writing evaluation…