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Download full textCampuzano, Larissa; Dynarski, Mark; Agodini, Roberto; Rall, Kristina – National Center for Education Evaluation and Regional Assistance, 2009
In the No Child Left Behind Act (NCLB), Congress called for the U.S. Department of Education (ED) to conduct a rigorous study of the conditions and practices under which educational technology is effective in increasing student academic achievement. A 2007 report presenting study findings for the 2004-2005 school year, indicated that, after one…
Descriptors: Teacher Characteristics, Federal Legislation, Academic Achievement, Computer Software
Direct linkLiu, Yuming; Schulz, E. Matthew; Yu, Lei – Journal of Educational and Behavioral Statistics, 2008
A Markov chain Monte Carlo (MCMC) method and a bootstrap method were compared in the estimation of standard errors of item response theory (IRT) true score equating. Three test form relationships were examined: parallel, tau-equivalent, and congeneric. Data were simulated based on Reading Comprehension and Vocabulary tests of the Iowa Tests of…
Descriptors: Reading Comprehension, Test Format, Markov Processes, Educational Testing
Farmer-Hinton, Raquel L.; Sass, Daniel A.; Schroeder, Mark – Planning and Changing, 2009
The use and scope of after-school programs (ASPs) have always varied with the local context. Historically, affluent families used ASPs to provide enrichment for their children. During the Civil Rights and Black Nationalist movements, African Americans used ASPs for cultural and educational activities. In recent times, ASPs have been used for…
Descriptors: After School Programs, Program Effectiveness, Urban Schools, Public Schools
