Abstract:To plan cluster-randomized trials with sufficient statistical power to detect intervention effects on student achievement, researchers need multilevel design parameters, including between-classroom and between-school differences and the amounts of variance explained by covariates at the student, classroom, and school level. Previous research has mostly been conducted in the U.S., focused on two-level designs, and limited to main achievement domains (i.e., mathematics, science, reading). Using representative da… Show more
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