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Brandon, Paul R.; Harrison, George M.; Lawton, Brian E. – American Journal of Evaluation, 2013
When evaluators plan site-randomized experiments, they must conduct the appropriate statistical power analyses. These analyses are most likely to be valid when they are based on data from the jurisdictions in which the studies are to be conducted. In this method note, we provide software code, in the form of a SAS macro, for producing statistical…
Descriptors: Statistical Analysis, Correlation, Effect Size, Benchmarking
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Pulfrey, Caroline; Darnon, Celine; Butera, Fabrizio – Journal of Educational Psychology, 2013
The use of grades to motivate constitutes an unresolved theoretical controversy. In 2 experiments carried out with different age groups and academic tracks, a standard-grade condition was compared with a condition in which differential scoring engendered higher grades and with a no-grade condition. The relative power of task performance and task…
Descriptors: Grades (Scholastic), Student Motivation, Student Attitudes, Academic Achievement
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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