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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
Smith, Glenn Gordon; Middleton, James A. – Australian Educational Computing, 2003
This study compared interaction with a computer vs. observation as learning situations for low and high ability student's learning of spatial visualization and geometric transformations. Thirty-two fifth grade boys took the Differential Aptitude Test, Space Relations Subset (DAT), and then participated in the experiment. Pre-test and post-test…
Descriptors: Protocol Analysis, Low Achievement, Observational Learning, Aptitude Tests

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