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Evaluation.; National Center for Research on Evaluation, Standards, and Student Testing,

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The article was published on 2001-01-01 and is currently open access. It has received 79 citations till now. The article focuses on the topics: Standards for Educational and Psychological Testing & National Science Education Standards.

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The Language Factor in Mathematics Tests

TL;DR: This article investigated the importance of language in student test performance on mathematics word problems and found that students who were English language learners (ELLs) scored lower on the math test than proficient speakers of English.
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The No Child Left Behind Act and English Language Learners: Assessment and Accountability Issues

TL;DR: In this paper, the authors discuss the issues involved with the disaggregated No Child Left Behind (NCLB) Act in terms of its adequate yearly progress reporting for students with limited English proficiency (LEP).
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Assessment Accommodations for English Language Learners: Implications for Policy-Based Empirical Research

TL;DR: This paper reviewed test accommodation strategies for English learners, derived from "scientifically based research" and concluded that modified English and customized dictionaries can be used for all students, not just English language learners.
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Large-Scale Academic Achievement Testing of Deaf and Hard-of-Hearing Students: Past, Present, and Future

TL;DR: This study will summarize the historical data over the last three decades to indicate trends in academic achievement for this special population, and analyze the current federal laws and regulations related to educational testing and special education, thereby identifying gaps between policy and practice in the field.
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Test Accommodations for Students With Disabilities: An Analysis of the Interaction Hypothesis

TL;DR: In this article, the effects of test accommodations on test performance were reviewed and two consistent findings emerged: Extended time tended to improve the performance of all students, although students with disabilities tended to exhibit relatively greater score gains; and oral accommodations on math tests were associated with increased test performance for some students with disability.
References
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Hierarchical Linear Models: Applications and Data Analysis Methods

TL;DR: The Logic of Hierarchical Linear Models (LMLM) as discussed by the authors is a general framework for estimating and hypothesis testing for hierarchical linear models, and it has been used in many applications.
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Hierarchical Linear Models: Applications and Data Analysis Methods.

TL;DR: This chapter discusses Hierarchical Linear Models in Applications, Applications in Organizational Research, and Applications in the Study of Individual Change Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known.
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Lev Vygotsky
TL;DR: Kozulin has created a new edition of the original MIT Press translation by Eugenia Hanfmann and Gertrude Vakar that restores the work's complete text and adds materials that will help readers better understand Vygotsky's meaning and intentions as discussed by the authors.
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Bayesian Data Analysis

TL;DR: Detailed notes on Bayesian Computation Basics of Markov Chain Simulation, Regression Models, and Asymptotic Theorems are provided.
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Mind in society