The United States educational system has historically struggled to improve the student outcomes for African American and economically disadvantaged students (Meatto, 2019). This doctoral study analyzed the underlying factors that affected schools' performances in a central Louisiana school system over a five year period. Specifically, this study…

The purpose of this paper is to showcase new research that seeks to provide guidance on the heterogeneity of treatment effects by utilizing the variance of demographic differences in state assessments. This study is focused on a simple randomized block design where students are nested within schools, and within each school students are randomized…

Although Individual Disabilities Education Act of 2004 (IDEA) has mandated states to collect and analyze data to determine if special education disproportionality is occurring within the local education agencies (LEAs), student of color continue to be disproportionately represented in special education programs. Historical trend data revealed that…

Randomized experiments are often considered the strongest designs to study the impact of educational interventions. Perhaps the most prevalent class of designs used in large scale education experiments is the cluster randomized design in which entire schools are assigned to treatments. In cluster randomized trials (CRTs) that assign schools to…

Background: Cluster-randomized experiments that assign intact groups such as schools or school districts to treatment conditions are increasingly common in educational research. Such experiments are inherently multilevel designs whose sensitivity (statistical power and precision of estimates) depends on the variance decomposition across levels.…