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Ghaemi, Hamed – Language Testing in Asia, 2022
Listening comprehension in English, as one of the most fundamental skills, has an essential role in the process of learning English. Mokken scale analysis (MSA) is a probabilistic-nonparametric approach to item response theory (IRT) which determines the one-dimensionality and scalability of test. Mokken scaling techniques are a useful tool for…
Descriptors: Second Language Learning, English (Second Language), Nonparametric Statistics, Item Response Theory
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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
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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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Jang, Eunice Eunhee; Roussos, Louis – Journal of Educational Measurement, 2007
This article reports two studies to illustrate methodologies for conducting a conditional covariance-based nonparametric dimensionality assessment using data from two forms of the Test of English as a Foreign Language (TOEFL). Study 1 illustrates how to assess overall dimensionality of the TOEFL including all three subtests. Study 2 is aimed at…
Descriptors: Reading Comprehension, Nonparametric Statistics, Listening Comprehension, Hypothesis Testing