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Hedberg, E. C.; Hedges, Larry – Society for Research on Educational Effectiveness, 2017
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…
Descriptors: Databases, Randomized Controlled Trials, Educational Research, Research Design
Bowser, John; Larson, James D.; Bellmore, Amy; Olson, Chelsea; Resnik, Felice – Journal of School Nursing, 2018
Given their significance to school violence, this study quantifies the association between bullying victimization and perceptions of safety separately for victimization where the type is not specified versus victimization that is physical in nature. Generalized liner mixed modeling was employed with 5,138 sixth- to eighth-grade students in 24…
Descriptors: Bullying, Middle School Students, School Safety, Correlation
Xiang, Yun; Tarasawa, Beth – Journal of School Choice, 2015
The rapid expansion of charter schools reflects a growing interest in education reform and school turnaround efforts across the United States. However, national research on charter school performance remains inconclusive. Of particular debate is the impact of transferring from a traditional public school to a charter school on student achievement…
Descriptors: Charter Schools, Academic Achievement, School Effectiveness, Hierarchical Linear Modeling
Hedges, Larry V.; Hedberg, E. C. – Evaluation Review, 2013
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.…
Descriptors: Correlation, Multivariate Analysis, Educational Experiments, Statistical Analysis