书评：反思欧洲语言参考框架及其配套卷

IF 2.2 1区文学 0 LANGUAGE & LINGUISTICS

Language Testing Pub Date : 2023-01-04 DOI:10.1177/02655322221144788

Claudia Harsch

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引用次数: 0

摘要

Aryadoust，V.，Ng，L.Y.和Sayama，H.（2020）。语言评估中Rasch测量的全面综述：研究建议和指南。语言测试，38（1），6-40。https://doi.org/10.1177/0265532220927487Berrío，Á。I.、Gómez Benito，J.和Arias Patiño，E.M.（2020）。差异项目功能检测方法的研究进展和趋势。《教育研究评论》，31，第100340条。https://doi.org/10.1016/j.edurev.2020.100340Choi，Y.-J.和Asilkalkan，A.（2019）。项目反应理论分析的R包：描述和特点。测量：跨学科研究与展望，17（3），168-175。https://doi.org/10.1080/15366367.2019.1586404Desjardins，C.D.和Bulut，O.（2018）。使用R.CRC出版社的教育测量和心理测量手册。https://doi.org/10.1201/b20498Linacre，J.M.（2022a）。用于多方面Rasch测量的Facets计算机程序（版本3.84.0）。Winsteps。Linacre，J.M.（2022b）。Winsteps®Rasch测量计算机程序（5.3.1版）。Winsteps。罗，音，焦，H.（2017）。将Stan程序用于贝叶斯项目反应理论。教育和心理测量，78（3），384–408。https://doi.org/10.1177/0013164417693666Nicklin，C.和Vitta，J.P.（2022）。使用是/否词汇测试数据评估R包的Rasch测量估计方法。语言测试，39（4），513–540。https://doi.org/10.1177/026553222211066822 Yildiz，H.（2021）。IrtGUI：具有图形用户界面的项目响应理论分析（R Package版本0.2）。https://CRAN.R-project.org/package=irtGUI

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Book Review: Reflecting on the Common European Framework of Reference for Languages and its companion volume

Aryadoust, V., Ng, L. Y., & Sayama, H. (2020). A comprehensive review of Rasch measurement in language assessment: Recommendations and guidelines for research. Language Testing, 38(1), 6–40. https://doi.org/10.1177/0265532220927487 Berrío, Á. I., Gómez-Benito, J., & Arias-Patiño, E. M. (2020). Developments and trends in research on methods of detecting differential item functioning. Educational Research Review, 31, Article 100340. https://doi.org/10.1016/j.edurev.2020.100340 Choi, Y.-J., & Asilkalkan, A. (2019). R packages for item response theory analysis: Descriptions and features. Measurement: Interdisciplinary Research and Perspectives, 17(3), 168–175. https://doi.org/10.1080/15366367.2019.1586404 Desjardins, C. D., & Bulut, O. (2018). Handbook of educational measurement and psychometrics using R. CRC Press. https://doi.org/10.1201/b20498 Linacre, J. M. (2022a). Facets computer program for many-facet Rasch measurement (Version 3.84.0). Winsteps. Linacre, J. M. (2022b). Winsteps® Rasch measurement computer program (Version 5.3.1). Winsteps. Luo, Y., & Jiao, H. (2017). Using the Stan program for Bayesian item response theory. Educational and Psychological Measurement, 78(3), 384–408. https://doi.org/10.1177/0013164417693666 Nicklin, C., & Vitta, J. P. (2022). Assessing Rasch measurement estimation methods across R packages with yes/no vocabulary test data. Language Testing, 39(4), 513–540. https://doi. org/10.1177/02655322211066822 Yildiz, H. (2021). IrtGUI: Item response theory analysis with a graphic user interface (R Package Version 0.2). https://CRAN.R-project.org/package=irtGUI

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来源期刊

Language Testing Multiple-

CiteScore

6.70

自引率

9.80%

发文量

期刊介绍： Language Testing is a fully peer reviewed international journal that publishes original research and review articles on language testing and assessment. It provides a forum for the exchange of ideas and information between people working in the fields of first and second language testing and assessment. This includes researchers and practitioners in EFL and ESL testing, and assessment in child language acquisition and language pathology. In addition, special attention is focused on issues of testing theory, experimental investigations, and the following up of practical implications.