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No Child Left Behind Act 20011
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Agley, Jon; Tidd, David; Jun, Mikyoung; Eldridge, Lori; Xiao, Yunyu; Sussman, Steve; Jayawardene, Wasantha; Agley, Daniel; Gassman, Ruth; Dickinson, Stephanie L. – Educational and Psychological Measurement, 2021
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…
Descriptors: Data Analysis, Longitudinal Studies, Data Collection, Intervention
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Herrmann-Abell, Cari F.; Hardcastle, Joseph; DeBoer, George E. – Grantee Submission, 2018
We compared students' performance on a paper-based test (PBT) and three computer-based tests (CBTs). The three computer-based tests used different test navigation and answer selection features, allowing us to examine how these features affect student performance. The study sample consisted of 9,698 fourth through twelfth grade students from across…
Descriptors: Evaluation Methods, Tests, Computer Assisted Testing, Scores
Shneyderman, Aleksandr; Froman, Terry – Research Services, Miami-Dade County Public Schools, 2015
In accordance with the federal No Child Left Behind (NCLB) law of 2001, 100% of students were expected to become proficient on state assessments of reading and mathematics by the end of 2013-2014 academic year. Schools that consistently failed to meet the NCLB's Adequate Yearly Progress requirements were subject to penalties. In 2011, the U.S.…
Descriptors: Educational Legislation, Federal Legislation, Standardized Tests, Academic Achievement
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Marsh, Herbert W.; Nagengast, Benjamin; Morin, Alexandre J. S.; Parada, Roberto H.; Craven, Rhonda G.; Hamilton, Linda R. – Journal of Educational Psychology, 2011
Existing research posits multiple dimensions of bullying and victimization but has not identified well-differentiated facets of these constructs that meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors that are not so highly correlated as to detract…
Descriptors: Locus of Control, Test Bias, Bullying, Structural Equation Models
Burke, Mary A.; Sass, Tim R. – Federal Reserve Bank of Boston, 2008
In this paper we analyze the impact of classroom peers on individual student performance with a unique longitudinal data set covering all Florida public school students in grades 3-10 over a five-year period. Unlike many previous data sets used to study peer effects in education, our data set allow us to identify each member of a given student's…
Descriptors: Teacher Effectiveness, Student Evaluation, Academic Achievement, Peer Groups