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Guo, Hongwen; Liu, Jinghua; Dorans, Neil; Feigenbaum, Miriam – ETS Research Report Series, 2011
Maintaining score stability is crucial for an ongoing testing program that administers several tests per year over many years. One way to stall the drift of the score scale is to use an equating design with multiple links. In this study, we use the operational and experimental SAT® data collected from 44 administrations to investigate the effect…
Descriptors: Equated Scores, College Entrance Examinations, Reliability, Testing Programs
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Zhang, Mo; Breyer, F. Jay; Lorenz, Florian – ETS Research Report Series, 2013
In this research, we investigated the suitability of implementing "e-rater"® automated essay scoring in a high-stakes large-scale English language testing program. We examined the effectiveness of generic scoring and 2 variants of prompt-based scoring approaches. Effectiveness was evaluated on a number of dimensions, including agreement…
Descriptors: Computer Assisted Testing, Computer Software, Scoring, Language Tests
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Kim, Sooyeon; von Davier, Alina A.; Haberman, Shelby – ETS Research Report Series, 2006
This study addresses the sample error and linking bias that occur with small and unrepresentative samples in a non-equivalent groups anchor test (NEAT) design. We propose a linking method called the "synthetic function," which is a weighted average of the identity function (the trivial equating function for forms that are known to be…
Descriptors: Equated Scores, Sample Size, Test Items, Statistical Bias