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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
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
Curriculum Review, 2009
Imagine recreating a tsunami's force in a bathtub or exploring the potential of geothermal energy by using steam from a kettle to illuminate a light bulb. These types of activities and more are offered in Matthew Levy and Mario Salvadori's collection of experiments and demonstrations in Earthquakes, Volcanoes and Tsunamis. More than 30 easy and…
Descriptors: Physics, Physical Geography, Natural Disasters, Science Experiments