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Direct linkMorris, Michael; Maxey, Shirley – Journal of Education for Business, 2014
The authors investigate the information content of two commonly used admission tests, namely the Graduate Management Admission Test and the Test of English as a Foreign Language (TOEFL). The analysis extends prior research by investigating the incremental information content of individual components from one admission test conditional on the…
Descriptors: English (Second Language), Second Language Learning, Masters Degrees, Accounting
Download full textHaberman, Shelby J. – ETS Research Report Series, 2004
Statistical and measurement properties are examined for features used in essay assessment to determine the generalizability of the features across populations, prompts, and individuals. Data are employed from TOEFL® and GMAT® examinations and from writing for Criterion?.
Descriptors: Language Tests, English (Second Language), Second Language Learning, Business Administration Education
Haberman, Shelby J.; Qian, Jiahe – ETS Research Report Series, 2004
Statistical prediction problems often involve both a direct estimate of a true score and covariates of this true score. Given the criterion of mean squared error, this study determines the best linear predictor of the true score given the direct estimate and the covariates. Results yield an extension of Kelley's formula for estimation of the true…
Descriptors: True Scores, Computation, Predictor Variables, Correlation
Breland, Hunter M.; Bridgeman, Brent; Fowles, Mary E. – College Entrance Examination Board, 1999
A comprehensive review was conducted of writing research literature and writing test program activities in a number of testing programs. The review was limited to writing assessments used for admission in higher education. Programs reviewed included ACT, Inc.'s ACT™ program, the California State Universities and Colleges (CSUC) testing program,…
Descriptors: Writing Research, Writing Tests, Writing (Composition), Writing Instruction
Attali, Yigal; Burstein, Jill – ETS Research Report Series, 2005
The e-rater® system has been used by ETS for automated essay scoring since 1999. This paper describes a new version of e-rater (v.2.0) that differs from the previous one (v.1.3) with regard to the feature set and model building approach. The paper describes the new version, compares the new and previous versions in terms of performance, and…
Descriptors: Essay Tests, Automation, Scoring, Comparative Analysis
