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Zechner, Klaus; Chen, Lei; Davis, Larry; Evanini, Keelan; Lee, Chong Min; Leong, Chee Wee; Wang, Xinhao; Yoon, Su-Youn – ETS Research Report Series, 2015
This research report presents a summary of research and development efforts devoted to creating scoring models for automatically scoring spoken item responses of a pilot administration of the Test of English-for-Teaching ("TEFT"™) within the "ELTeach"™ framework.The test consists of items for all four language modalities:…
Descriptors: Scoring, Scoring Formulas, Speech Communication, Task Analysis
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Ramineni, Chaitanya; Trapani, Catherine S.; Williamson, David M.; Davey, Tim; Bridgeman, Brent – ETS Research Report Series, 2012
Automated scoring models for the "e-rater"® scoring engine were built and evaluated for the "GRE"® argument and issue-writing tasks. Prompt-specific, generic, and generic with prompt-specific intercept scoring models were built and evaluation statistics such as weighted kappas, Pearson correlations, standardized difference in…
Descriptors: Scoring, Test Scoring Machines, Automation, Models
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Feuerman, Martin; Weiss, Harvey – Management Science, 1973
A model is presented for test construction and scoring that utilizes the knapsack model of mathematical programing. The method applies to examinations of the type in which a choice exists in the number of questions the examinee is required to answer. The method has been utilized with respect to a mathematics examination, and computer-generated…
Descriptors: Computer Oriented Programs, Mathematics, Models, Scoring
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Gottfredson, Linda S. – American Psychologist, 1994
Focuses on score adjustment by racial or ethnic group (race norming) in employment testing, and provides a history of the original controversy. The author analyzes race-based adjustments in test scores and discusses how personnel-selection science is being compromised in an effort to reconcile contradictory legal demands. (GLR)
Descriptors: Compliance (Legal), Court Litigation, Employment Practices, Equal Opportunities (Jobs)