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VanHoudnos, Nathan M.; Greenhouse, Joel B. – Journal of Educational and Behavioral Statistics, 2016
When cluster randomized experiments are analyzed as if units were independent, test statistics for treatment effects can be anticonservative. Hedges proposed a correction for such tests by scaling them to control their Type I error rate. This article generalizes the Hedges correction from a posttest-only experimental design to more common designs…
Descriptors: Statistical Analysis, Randomized Controlled Trials, Error of Measurement, Scaling
D'Agostino, Jerome V.; Harmey, Sinéad J. – Journal of Education for Students Placed at Risk, 2016
Reading Recovery is one of the most researched literacy programs worldwide. Although there have been at least 4 quantitative reviews of its effectiveness, none have considered all rigorous group-comparison studies from all implementing nations from the late 1970s to 2015. Using a hierarchical linear modeling (HLM) v-known analysis, we examined if…
Descriptors: Meta Analysis, Reading, Reading Programs, Hierarchical Linear Modeling
Stuebing, Karla K.; Fletcher, Jack M.; Hughes, Lisa C. – Journal of Learning Disabilities, 2012
In a recently published meta-analysis, Tran, Sanchez, Arellano, and Swanson (2011) synthesized 13 studies that permitted assessment of characteristics of children who were adequate and inadequate responders to instruction. The authors indicated that "[t]he central question addressed in this review is whether individual differences in…
Descriptors: Achievement Gap, Response to Intervention, Phonological Awareness, Pretests Posttests