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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
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
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
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
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