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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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Desimone, Laura; Smith, Thomas M.; Phillips, Kristie J. R. – Teachers College Record, 2013
Background/Context: Most reforms in elementary education rely on teacher learning and improved instruction to increase student learning. This study increases our understanding of which types of professional development effectively change teaching practice in ways that boost student achievement. Purpose/Objective/Research Question/Focus of Study:…
Descriptors: Faculty Development, Academic Achievement, Longitudinal Studies, Mathematics Instruction
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Zucker, Andrew A.; Tinker, Robert; Staudt, Carolyn; Mansfield, Amie; Metcalf, Shari – Journal of Science Education and Technology, 2008
The Technology Enhanced Elementary and Middle School Science II project (TEEMSS), funded by the National Science Foundation, produced 15 inquiry-based instructional science units for teaching in grades 3-8. Each unit uses computers and probeware to support students' investigations of real-world phenomena using probes (e.g., for temperature or…
Descriptors: Mathematical Models, Effect Size, Virtual Classrooms, Grade 7