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Papageorgiou, Spiros; Xi, Xiaoming; Morgan, Rick; So, Youngsoon – Language Assessment Quarterly, 2015
This study presents the development and empirical validation of score levels and descriptors specifically designed for reporting purposes to provide test takers with more than just a number on a score scale. In the context of a test primarily intended for 11- to 15-year-old students learning English as a second/foreign language, the study examined…
Descriptors: Scores, Validity, Scaling, Classification
Xi, Xiaoming; Higgins, Derrick; Zechner, Klaus; Williamson, David – Language Testing, 2012
This paper compares two alternative scoring methods--multiple regression and classification trees--for an automated speech scoring system used in a practice environment. The two methods were evaluated on two criteria: construct representation and empirical performance in predicting human scores. The empirical performance of the two scoring models…
Descriptors: Scoring, Classification, Weighted Scores, Comparative Analysis
Xi, Xiaoming – Language Testing, 2007
This study explores the utility of analytic scoring for TAST in providing useful and reliable diagnostic information for operational use in three aspects of candidates' performance: delivery, language use and topic development. One hundred and forty examinees' responses to six TAST tasks were scored analytically on these three aspects of speech. G…
Descriptors: Scoring, Profiles, Performance Based Assessment, Academic Discourse
Xi, Xiaoming; Mollaun, Pam – ETS Research Report Series, 2006
This study explores the utility of analytic scoring for the TOEFL® Academic Speaking Test (TAST) in providing useful and reliable diagnostic information in three aspects of candidates' performance: delivery, language use, and topic development. G studies were used to investigate the dependability of the analytic scores, the distinctness of the…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Oral Language