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Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2016
This article describes an approach to test scoring, referred to as "delta scoring" (D-scoring), for tests with dichotomously scored items. The D-scoring uses information from item response theory (IRT) calibration to facilitate computations and interpretations in the context of large-scale assessments. The D-score is computed from the…
Descriptors: Scoring, Equated Scores, Test Items, Measurement
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Raymond, Mark R.; Neustel, Sandra; Anderson, Dan – Educational Measurement: Issues and Practice, 2009
Examinees who take high-stakes assessments are usually given an opportunity to repeat the test if they are unsuccessful on their initial attempt. To prevent examinees from obtaining unfair score increases by memorizing the content of specific test items, testing agencies usually assign a different test form to repeat examinees. The use of multiple…
Descriptors: Test Results, Test Items, Testing, Aptitude Tests
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Mayer, Richard E.; Stull, Andrew T.; Campbell, Julie; Almeroth, Kevin; Bimber, Bruce; Chun, Dorothy; Knight, Allan – Educational Psychology Review, 2007
The authors analyzed self-reported SAT scores and actual SAT scores for five different samples of college students (N = 650). Students overestimated their actual SAT scores by an average of 25 points (SD = 81, d = 0.31), with 10% under-reporting, 51% reporting accurately, and 39% over-reporting, indicating a systematic bias towards over-reporting.…
Descriptors: Psychological Studies, Scoring, Measurement Techniques, College Students
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Liu, Jinghua; Cahn, Miriam F.; Dorans, Neil J. – Journal of Educational Measurement, 2006
The College Board's SAT[R] data are used to illustrate how the score equity assessment (SEA) can help inform the program about equatability. SEA is used to examine whether the content change(s) to the revised new SAT result in differential linking functions across gender groups. Results of population sensitivity analyses are reported on the…
Descriptors: Aptitude Tests, Comparative Analysis, Gender Differences, Scores