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Weeks, Jonathan; Baron, Patricia – Educational Testing Service, 2021
The current project, Exploring Math Education Relations by Analyzing Large Data Sets (EMERALDS) II, is an attempt to identify specific Common Core State Standards procedural, conceptual, and problem-solving competencies in earlier grades that best predict success in algebraic areas in later grades. The data for this study include two cohorts of…
Descriptors: Mathematics Education, Common Core State Standards, Problem Solving, Mathematics Tests
Steinberg, Jonathan; Cline, Frederick; Sawaki, Yasuyo – Educational Testing Service, 2011
This study examined the scores on a state standards-based Grade 5 Science assessment obtained by a group of students without learning disabilities who took the standard form of the test and by three groups of students with learning disabilities: one taking the standard form of the test without accommodations or modifications, a second taking the…
Descriptors: Learning Disabilities, State Standards, Educational Improvement, Science Tests
Dorans, Neil J.; Liang, Longjuan; Puhan, Gautam – Educational Testing Service, 2010
Scores are the most visible and widely used products of a testing program. The choice of score scale has implications for test specifications, equating, and test reliability and validity, as well as for test interpretation. At the same time, the score scale should be viewed as infrastructure likely to require repair at some point. In this report…
Descriptors: Testing Programs, Standard Setting (Scoring), Test Interpretation, Certification
von Davier, Matthias; von Davier, Alina A. – Educational Testing Service, 2004
This paper examines item response theory (IRT) scale transformations and IRT scale linking methods used in the Non-Equivalent Groups with Anchor Test (NEAT) design to equate two tests, X and Y. It proposes a unifying approach to the commonly used IRT linking methods: mean-mean, mean-var linking, concurrent calibration, Stocking and Lord and…
Descriptors: Measures (Individuals), Item Response Theory, Item Analysis, Models
Kostin, Irene – Educational Testing Service, 2004
The purpose of this study is to explore the relationship between a set of item characteristics and the difficulty of TOEFL[R] dialogue items. Identifying characteristics that are related to item difficulty has the potential to improve the efficiency of the item-writing process The study employed 365 TOEFL dialogue items, which were coded on 49…
Descriptors: Statistical Analysis, Difficulty Level, Language Tests, English (Second Language)
Sinharay, Sandip; Almond, Russell; Yan, Duanli – Educational Testing Service, 2004
Model checking is a crucial part of any statistical analysis. As educators tie models for testing to cognitive theory of the domains, there is a natural tendency to represent participant proficiencies with latent variables representing the presence or absence of the knowledge, skills, and proficiencies to be tested (Mislevy, Almond, Yan, &…
Descriptors: Statistical Analysis, Epistemology, Educational Assessment, Item Response Theory