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Crossley, Scott; Clevinger, Amanda; Kim, YouJin – Language Assessment Quarterly, 2014
There has been a growing interest in the use of integrated tasks in the field of second language testing to enhance the authenticity of language tests. However, the role of text integration in test takers' performance has not been widely investigated. The purpose of the current study is to examine the effects of text-based relational (i.e.,…
Descriptors: Language Proficiency, Connected Discourse, Language Tests, English (Second Language)
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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
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Jamieson, Joan; Poonpon, Kornwipa – ETS Research Report Series, 2013
Research and development of a new type of scoring rubric for the integrated speaking tasks of "TOEFL iBT"® are described. These "analytic rating guides" could be helpful if tasks modeled after those in TOEFL iBT were used for formative assessment, a purpose which is different from TOEFL iBT's primary use for admission…
Descriptors: Oral Language, Language Proficiency, Scaling, Scores
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Attali, Yigal; Bridgeman, Brent; Trapani, Catherine – Journal of Technology, Learning, and Assessment, 2010
A generic approach in automated essay scoring produces scores that have the same meaning across all prompts, existing or new, of a writing assessment. This is accomplished by using a single set of linguistic indicators (or features), a consistent way of combining and weighting these features into essay scores, and a focus on features that are not…
Descriptors: Writing Evaluation, Writing Tests, Scoring, Test Scoring Machines