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Johnson, Angela; Kuhfeld, Megan; Soland, James – AERA Open, 2021
Leveraging achievement data measured in the fall and spring of kindergarten through eighth grade for 840,000 students attending 8,800 public schools, we report novel evidence on how achievement and growth patterns differ between rural and nonrural schools. Rural students start kindergarten slightly ahead of nonrural students but fall behind by…
Descriptors: Academic Achievement, Rural Schools, Elementary School Students, Trend Analysis
Zhang, Jizhi; Li, Mengyi; Yee, Darrick; Park, Bitnara Jasmine; Bohrnstedt, George; Broer, Markus – American Institutes for Research, 2020
This study aims to understand the role that reading motivation plays in middle school reading achievement (including achievement gaps) by analyzing the 2015 grade 8 NAEP reading data. The study focuses on identifying the unique effects of student-level reading motivation and aggregated school-level mean reading motivation on reading achievement.…
Descriptors: Reading Motivation, Reading Achievement, Achievement Gap, Reading Tests
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Maya Israel; Shuai Wang; Matthew T. Marino – Journal of Research in Science Teaching, 2016
Extant research reports differential effects related to the efficacy of video games as a means to enhance science instruction. However, there are very few studies examining differences in learning outcomes across student-level independent variables. This study used multilevel modeling to examine the effects of three video game-enhanced life…
Descriptors: Biological Sciences, Video Games, Learning Disabilities, Reading Ability
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Van Ryzin, Mark J.; Vincent, Claudia G. – Grantee Submission, 2017
Because students from American Indian/Alaska Native (AI/AN) backgrounds tend to lag behind their peers in academic achievement, researchers have recommended integrating Native Language and Culture (NLC) into instruction. However, existing evidence from large-scale studies finds a "negative" effect of the use of NLC on achievement,…
Descriptors: Elementary School Students, Middle School Students, American Indian Students, Alaska Natives
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Lee, Jaekyung; Wu, Yin – Education Policy Analysis Archives, 2017
This study examines the trends of the U.S. states' reading and math proficiency standards before and after the adoption of the Common Core State Standards (CCSS) and explores their impact on school practices and student achievement. Drawing on the 2003-15 National Assessment of Educational Progress (NAEP) grades 4 and 8 assessment and survey…
Descriptors: Common Core State Standards, Educational Trends, Reading Skills, Mathematics Skills
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Gándara, Fernanda; Randall, Jennifer – Education Policy Analysis Archives, 2015
This study investigates the relationship between school-level accountability practices and science achievement of 15-year-olds, across four counties: Australia, Korea, Portugal, and the United States. We used PISA 2006 data, since 2006 is the only administration that has focused on science. School-level accountability practices are here defined as…
Descriptors: Foreign Countries, Accountability, Science Achievement, Correlation
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Lee, Jaekyung; Liu, Xiaoyan; Amo, Laura Casey; Wang, Weichun Leilani – Educational Policy, 2014
Drawing on national and state assessment datasets in reading and math, this study tested "external" versus "internal" standards-based education models. The goal was to understand whether and how student performance standards work in multilayered school systems under No Child Left Behind Act of 2001 (NCLB). Under the…
Descriptors: State Standards, Academic Standards, Student Evaluation, Academic Achievement
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Johnson, Matthew S.; Jenkins, Frank – ETS Research Report Series, 2005
Large-scale educational assessments such as the National Assessment of Educational Progress (NAEP) sample examinees to whom an exam will be administered. In most situations the sampling design is not a simple random sample and must be accounted for in the estimating model. After reviewing the current operational estimation procedure for NAEP, this…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, National Competency Tests, Sampling