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No Child Left Behind Act 20011
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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
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Meyen, Edward L.; Greer, Diana L. – Journal of Special Education Technology, 2010
This article discusses the theoretical framework, instructional design, formative assessment results, capacity for national distribution, and generalization of the Blending Assessment with Instruction Program (BAIP) model to other content areas such as science. The BAIP, developed and validated at the University of Kansas, employs technology to…
Descriptors: STEM Education, Assistive Technology, Disabilities, Mathematics Instruction
Albus, Deb; Lazarus, Sheryl S.; Thurlow, Martha L.; Cormier, Damien – National Center on Educational Outcomes, University of Minnesota, 2009
In April 2007, Federal No Child Left Behind regulations were finalized that provided states with additional flexibility for assessing some students with disabilities. The regulations allowed states to offer another assessment option, alternate assessments based on modified academic achievement standards (AA-MAS). States are not required to have…
Descriptors: Federal Legislation, Educational Objectives, Outcomes of Education, Academic Achievement