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Moses, Tim; Liu, Jinghua; Tan, Adele; Deng, Weiling; Dorans, Neil J. – ETS Research Report Series, 2013
In this study, differential item functioning (DIF) methods utilizing 14 different matching variables were applied to assess DIF in the constructed-response (CR) items from 6 forms of 3 mixed-format tests. Results suggested that the methods might produce distinct patterns of DIF results for different tests and testing programs, in that the DIF…
Descriptors: Test Construction, Multiple Choice Tests, Test Items, Item Analysis
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Haberman, Shelby J.; Guo, Hongwen; Liu, Jinghua; Dorans, Neil J. – ETS Research Report Series, 2008
This study uses historical data to explore the consistency of SAT® I: Reasoning Test score conversions and to examine trends in scaled score means. During the period from April 1995 to December 2003, both Verbal (V) and Math (M) means display substantial seasonality, and a slight increasing trend for both is observed. SAT Math means increase more…
Descriptors: College Entrance Examinations, Thinking Skills, Logical Thinking, Scaling
Zhang, Yanling; Dorans, Neil J.; Matthews-López, Joy L. – College Board, 2005
Statistical procedures for detecting differential item functioning (DIF) are often used as an initial step to screen items for construct irrelevant variance. This research applies a DIF dissection method and a two-way classification scheme to SAT Reasoning Test™ verbal section data and explores the effects of deleting sizable DIF items on reported…
Descriptors: Test Bias, Test Items, Statistical Analysis, Classification
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Dorans, Neil J.; Zeller, Karin – ETS Research Report Series, 2004
In an article published in the spring 2003 issue of "Harvard Educational Review", Roy Freedle stated that the SAT® is both culturally and statistically biased. Freedle proposed a solution to this bias, which involved using a half-test made up of the most difficult items culled from complete SAT examination. His claims, which garnered…
Descriptors: Scores, Scoring, Equated Scores, College Entrance Examinations
Dorans, Neil J. – College Entrance Examination Board, 2000
Distinctions were made between three classes of statistical linkage: equivalence, concordance, and prediction. These distinctions were based on rational content considerations and empirical statistical relationships. A large database involving SAT I and ACT scores was used to determine which type of linkage was best suited for different scores and…
Descriptors: Statistical Analysis, Prediction, Scores, Standardized Tests
Liu, Jinghua; Feigenbaum, Miriam; Dorans, Neil J. – College Board, 2005
Score equity assessment was used to evaluate linkings of new SAT® to the current SAT Reasoning Test™. Population invariance across gender groups was studied on the linkage of a new SAT critical reading prototype to a current SAT verbal section, and on the linkage of a new SAT math prototype to a current SAT math section. The results indicated that…
Descriptors: Gender Differences, Research Reports, Cognitive Tests, College Entrance Examinations