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Investigating the Suitability of Implementing e-rater in a Large-Scale English Language Testing Program AES

Author(s):
Zhang, Mo; Breyer, F. Jay; Lorenz, Florian
Publication Year:
2013
Report Number:
RR-13-36
Source:
ETS Research Report
Document Type:
Report
Page Count:
60
Subject/Key Words:
Model Development, e-rater, Automated Essay Scoring (AES), Impact Evaluation, English Language Assessment (ELA), Large-Scale Assessment

Abstract

Further investigation indicated homogeneity in the examinee population, possibly nested within test countries/territories as one potential cause of this lack of invariance. Among other limitations, findings may not be generalizable beyond the examinee population investigated in this study.

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