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Pritasari, Adita; Reinaldo, Hendy; Watson, C. W. – Journal of Multilingual and Multicultural Development, 2019
Business schools in Asia frequently use English as the medium of instruction. One such school is the School of Business and Management (SBM) of the Bandung Institute of Technology (ITB) which is recognised as one of the leading business schools in Indonesia. Doubt had been expressed whether under current English language (EL) entry requirements…
Descriptors: Language of Instruction, Foreign Countries, Business Schools, English (Second Language)
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Haberman, 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
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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
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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