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No Child Left Behind Act 20011
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Petersen, Jennifer Lee; Hyde, Janet Shibley – Educational Psychology, 2017
Although many studies have documented developmental change in mathematics motivation, little is known about how these trends predict math performance. A sample of 288 participants from the United States reported their perceived math ability, math utility value and math interest in 5th, 7th and 9th grades. Latent growth curve models estimated…
Descriptors: Secondary School Mathematics, Mathematics Skills, Middle Schools, Middle School Students
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Liao, Xiangyi; Bolt, Daniel M. – Journal of Educational and Behavioral Statistics, 2021
Four-parameter models have received increasing psychometric attention in recent years, as a reduced upper asymptote for item characteristic curves can be appealing for measurement applications such as adaptive testing and person-fit assessment. However, applications can be challenging due to the large number of parameters in the model. In this…
Descriptors: Test Items, Models, Mathematics Tests, Item Response Theory
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Carolan, Tracy – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
PISA 2012 results indicate that school systems that group students based on ability levels tend to have lower performance than those that do not divide students by ability. One way some in the United States have sought to increase equity of opportunity is to mandate enrollment of students in college-preparatory mathematics, i.e., Algebra 1 in…
Descriptors: Equal Education, Required Courses, College Preparation, College Mathematics
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Borman, Geoffrey D.; Grigg, Jeffrey; Hanselman, Paul – Educational Evaluation and Policy Analysis, 2016
In this districtwide scale-up, we randomly assigned seventh-grade students within 11 schools to receive a series of writing exercises designed to promote values affirmation. Impacts on cumulative seventh-grade grade point average (GPA) for the district's racial/ethnic minority students who may be subject to stereotype threat are consistent with…
Descriptors: Achievement Gap, Grade 7, Writing Assignments, Self Esteem
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
Center on Education Policy, 2009
This general achievement trends profile includes information that the Center on Education Policy (CEP) and the Human Resources Research Organization (HumRRO) obtained from states from fall 2008 through April 2009. Included herein are: (1) Bullet points summarizing key findings about achievement trends in that state at three performance…
Descriptors: Academic Achievement, Achievement Gains, Achievement Tests, Educational Legislation
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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
Yeado, Joe; Schmidt, Jeff; Hart, Rebecca; Henken, Rob – Public Policy Forum, 2014
Over nearly three decades, the Public Policy Forum has collected and analyzed education data to report on the demographics, academic performance, and finances of public schools and districts in southeast Wisconsin. This 29th annual public schools report continues that tradition with updated analyses of new data and trends to shed light on the…
Descriptors: Public Schools, School Districts, Expenditure per Student, Taxes