书评：K.Sadeghi（编辑），《不同背景下的技术辅助语言评估：新冠肺炎期间向在线测试过渡的经验教训》

IF 2.2 1区文学 N/A LANGUAGE & LINGUISTICS Language Testing Pub Date : 2023-07-20 DOI:10.1177/02655322231186707

Tomohito Hiromori, H. Mohebbi

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引用次数: 0

摘要

A.格雷斯蒂(2013)。分类数据分析(第三版)。威利。迪克森，P.(2008)。重复测量设计中的精度模型。语言与记忆学报，29(4)，447-456。https://doi.org/10.1016/j.jml.2007.11.004 Doran, H.， Bates, D.， Bliese, P.， & Dowling, M.(2007)。多层Rasch模型的估计:使用lme4包。统计软件学报，20(2)，1-18。https://doi.org/10.18637/ jss.v020。[2]安伯森，S，和戈林，J.(2001)。运用认知心理学原理提高构念效度。教育测量学报，38(4)，343-368。https://doi.org/10。1111 / j.1745-3984.2001.tb01131。蒋中。(2018)。利用线性混合效应模型框架估计广义性方差成分[j] .方法学，14(3)，133-142。https://doi.org/10.1027/1614-2241/ a000149 Kidd, E.， Donnelly, S.， & Christiansen, m.h.(2018)。语言习得和加工的个体差异。认知科学趋势，22(2)，154-169。https://doi.org/10.1016/j。tics.2017.11.006

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Book review: K. Sadeghi (Ed.), Technology-Assisted Language Assessment in Diverse Contexts: Lessons from the Transition to Online Testing During Covid-19

Agresti, A. (2013). Categorical data analysis (3rd ed.). Wiley. Dixon, P. (2008). Models of accuracy in repeated-measures designs. Journal of Memory and Language, 59(4), 447–456. https://doi.org/10.1016/j.jml.2007.11.004 Doran, H., Bates, D., Bliese, P., & Dowling, M. (2007). Estimating the multilevel Rasch model: With the lme4 package. Journal of Statistical Software, 20(2), 1–18. https://doi.org/10.18637/ jss.v020.i02 Embretson, S., & Gorin, J. (2001). Improving construct validity with cognitive psychology principles. Journal of Educational Measurement, 38(4), 343–368. https://doi.org/10. 1111/j.1745-3984.2001.tb01131.x Jiang, Z. (2018). Using the linear mixed-effect model framework to estimate generalizability variance components in R. Methodology, 14(3), 133–142. https://doi.org/10.1027/1614-2241/ a000149 Kidd, E., Donnelly, S., & Christiansen, M. H. (2018). Individual differences in language acquisition and processing. Trends in Cognitive Sciences, 22(2), 154–169. https://doi.org/10.1016/j. tics.2017.11.006

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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.