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No Child Left Behind Act 20011
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Williamson, Gary L. – Cogent Education, 2018
Individual growth curves yield insights about growth that are not available from any other methodology; and developmental scales based on conjoint measurement models provide unique interpretive advantages for investigations of academic growth. The advantages are apparent when: (1) 15 consecutive statewide reading growth curves are annotated with…
Descriptors: Reading Achievement, Mathematics Achievement, Psychometrics, Educational Innovation
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Herrera, Sarah; Zhou, Chengfu; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2017
The 2001 authorization of the No Child Left Behind Act and its standards and accountability requirements generated interest among state education agencies in Florida, Mississippi, and North Carolina, which are served by the Regional Educational Laboratory Southeast, in monitoring changes in student reading and math proficiency at the school level.…
Descriptors: Reading Achievement, Mathematics Achievement, Trend Analysis, Achievement Gap
Stevens, Joseph J.; Schulte, Ann C. – Journal of Learning Disabilities, 2017
This study examined mathematics achievement growth of students without disabilities (SWoD) and students with learning disabilities (LD) and tested whether growth and LD status interacted with student demographic characteristics. Growth was estimated in a statewide sample of 79,554 students over Grades 3 to 7. The LD group was significantly lower…
Descriptors: Learning Disabilities, Mathematics Instruction, Student Characteristics, Mathematics Achievement
Northwest Evaluation Association, 2016
Northwest Evaluation Association™ (NWEA™) is committed to providing partners with useful tools to help make inferences from the Measures of Academic Progress® (MAP®) interim assessment scores. Recently, NWEA completed a concordance study to connect the scales of the North Carolina End-of-Grade (EOG) English language arts (ELA) and math with those…
Descriptors: Scores, Inferences, Academic Achievement, Achievement Tests
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Schulte, Ann C.; Stevens, Joseph J.; Elliott, Stephen N.; Tindal, Gerald; Nese, Joseph F. T. – Journal of Educational Psychology, 2016
Reading comprehension growth trajectories from 3rd to 7th grade were estimated for 99,919 students on a state reading comprehension assessment. We examined whether differences between students in general education (GE) and groups of students identified as exceptional learners were best characterized as stable, widening, or narrowing. The groups…
Descriptors: Reading Comprehension, Achievement Gap, Disabilities, Reading Tests
Hedberg, E. C.; Hedges, Larry V. – Grantee Submission, 2014
Randomized experiments are often considered the strongest designs to study the impact of educational interventions. Perhaps the most prevalent class of designs used in large scale education experiments is the cluster randomized design in which entire schools are assigned to treatments. In cluster randomized trials (CRTs) that assign schools to…
Descriptors: Academic Achievement, Correlation, School Districts, Institutional Characteristics
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Schulte, Ann C.; Stevens, Joseph J. – Exceptional Children, 2015
This study used a statewide longitudinal sample to examine mathematics achievement gaps and growth in students with and without disabilities and to examine the impact of different methods of determining disability group membership on achievement gaps and growth. When disability status was determined on the basis of special education placement each…
Descriptors: Longitudinal Studies, Mathematics Achievement, Achievement Gap, Disabilities
Rhea, Anisa – Wake County Public School System, 2013
Extending the school day through programs that will supplement core courses, such as offering intensive, after-school tutoring or small-group study sessions in reading and mathematics, is one method districts use to boost school performance and narrow educational achievement gaps between students of different racial and economic backgrounds (Redd…
Descriptors: Intervention, Achievement Gap, Grade 3, Grade 4
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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
White, Mary Loyd – ProQuest LLC, 2012
The purpose of this study was to examine the educational services for students with autism in school districts (N = 115) in North Carolina to identify the characteristics and variables that contribute to positive student outcomes. This study used a secondary analysis of data from various resources across the state. Variables included number of…
Descriptors: Autism, Student Needs, School Districts, Incidence
McMillen, Brad – Wake County Public School System, 2010
In 2008-09, results from End-of-Grade (EOG) reading and mathematics tests in WCPSS continued to demonstrate an upward trend across grade levels and student subgroups. Disaggregation of results by ethnicity, income level, disability status, and English proficiency status showed that achievement gaps between historically underperforming subgroups…
Descriptors: Multiple Choice Tests, Reading Tests, Mathematics Tests, Achievement Tests