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Zhu, Pei; Jacob, Robin; Bloom, Howard; Xu, Zeyu – Educational Evaluation and Policy Analysis, 2012
This paper provides practical guidance for researchers who are designing and analyzing studies that randomize schools--which comprise three levels of clustering (students in classrooms in schools)--to measure intervention effects on student academic outcomes when information on the middle level (classrooms) is missing. This situation arises…
Descriptors: Educational Research, Educational Researchers, Research Methodology, Multivariate Analysis
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Spybrook, Jessaca; Raudenbush, Stephen W. – Educational Evaluation and Policy Analysis, 2009
This article examines the power analyses for the first wave of group-randomized trials funded by the Institute of Education Sciences. Specifically, it assesses the precision and technical accuracy of the studies. The authors identified the appropriate experimental design and estimated the minimum detectable standardized effect size (MDES) for each…
Descriptors: Research Design, Research Methodology, Effect Size, Correlation
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Salganik, Laura Hersh – Educational Evaluation and Policy Analysis, 1994
Issues related to designing educational indicators with comparisons among similar places are presented, using examples from indicators of school and district performance used by different states. As an illustration, alternative strategies are applied to calculate indicators of state high school graduation rates. (SLD)
Descriptors: Comparative Analysis, Computation, Demography, Geographic Regions