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