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Zapata-Rivera, Diego, Ed.; Zwick, Rebecca, Ed. – ETS Research Report Series, 2011
This volume includes 3 papers based on presentations at a workshop on communicating assessment information to particular audiences, held at Educational Testing Service (ETS) on November 4th, 2010, to explore some issues that influence score reports and new advances that contribute to the effectiveness of these reports. Jessica Hullman, Rebecca…
Descriptors: Conference Papers, Graphs, Data Analysis, Statistical Analysis
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Young, John W.; Morgan, Rick; Rybinski, Paul; Steinberg, Jonathan; Wang, Yuan – ETS Research Report Series, 2013
The "TOEFL Junior"® Standard Test is an assessment that measures the degree to which middle school-aged students learning English as a second language have attained proficiency in the academic and social English skills representative of English-medium instructional environments. The assessment measures skills in three areas: listening…
Descriptors: Item Response Theory, Test Items, Language Tests, Second Language Learning
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Puhan, Gautam; Sinharay, Sandip; Haberman, Shelby; Larkin, Kevin – ETS Research Report Series, 2008
Will reporting subscores provide any additional information than the total score? Is there a method that can be used to provide more trustworthy subscores than observed subscores? These 2 questions are addressed in this study. To answer the 2nd question, 2 subscore estimation methods (i.e., subscore estimated from the observed total score or…
Descriptors: Comparative Analysis, Scores, Tests, Certification
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Moses, Tim; von Davier, Alina A.; Casabianca, Jodi – ETS Research Report Series, 2004
The purpose of this report is to demonstrate loglinear smoothing using SAS PROC GENMOD. The results from four published examples, which include the smoothing of a) univariate distributions, b) bivariate distributions, c) distributions with teeth, and d) bivariate distributions with structural zeros, are reproduced to show the flexibility of the…
Descriptors: Statistical Analysis, Statistical Distributions, Comparative Analysis, Graphs
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Livingston, Samuel A.; Dorans, Neil J. – ETS Research Report Series, 2004
This paper describes an approach to item analysis that is based on the estimation of a set of response curves for each item. The response curves show, at a glance, the difficulty and the discriminating power of the item and the popularity of each distractor, at any level of the criterion variable (e.g., total score). The curves are estimated by…
Descriptors: Item Analysis, Computation, Difficulty Level, Test Items