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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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Beretvas, S. Natasha; Cawthon, Stephanie W.; Lockhart, L. Leland; Kaye, Alyssa D. – Educational and Psychological Measurement, 2012
This pedagogical article is intended to explain the similarities and differences between the parameterizations of two multilevel measurement model (MMM) frameworks. The conventional two-level MMM that includes item indicators and models item scores (Level 1) clustered within examinees (Level 2) and the two-level cross-classified MMM (in which item…
Descriptors: Test Bias, Comparative Analysis, Test Items, Difficulty Level
McCoach, D. Betsy; Gubbins, E. Jean; Foreman, Jennifer; Rubenstein, Lisa DaVia; Rambo-Hernandez, Karen E. – Gifted Child Quarterly, 2014
Despite the potential of differentiated curricula to enhance learning, limited research exists that documents their impact on Grade 3 students of all ability levels. To determine if there was a difference in achievement between students involved in 16 weeks of predifferentiated, enriched mathematics curricula and students using their district's…
Descriptors: Elementary School Curriculum, Elementary School Mathematics, Elementary School Students, Elementary School Teachers
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Deping, Li; Oranje, Andreas – ETS Research Report Series, 2006
A hierarchical latent regression model is suggested to estimate nested and nonnested relationships in complex samples such as found in the National Assessment of Educational Progress (NAEP). The proposed model aims at improving both parameters and variance estimates via a two-level hierarchical linear model. This model falls naturally within the…
Descriptors: Hierarchical Linear Modeling, Computation, Measurement, Regression (Statistics)
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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