文章基本信息

标题：cdcatR: An R Package for Cognitive Diagnostic Computerized Adaptive Testing
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作者：Miguel A. Sorrel ; Pablo Nájera ; Francisco J. Abad 等
期刊名称：Psych
电子版ISSN：2624-8611
出版年度：2021
卷号：3
期号：3
页码：386-403
DOI：10.3390/psych3030028
语种：English
出版社：MDPI AG
摘要：Cognitive diagnosis models (CDMs) are confirmatory latent class models that provide fine-grained information about skills and cognitive processes. These models have gained attention in the last few years because of their usefulness in educational and psychological settings. Recently, numerous developments have been made to allow for the implementation of cognitive diagnosis computerized adaptive testing (CD-CAT). Despite methodological advances, CD-CAT applications are still scarce. To facilitate research and the emergence of empirical applications in this area, we have developed the cdcatR package for R software. The purpose of this document is to illustrate the different functions included in this package. The package includes functionalities for data generation, model selection based on relative fit information, implementation of several item selection rules (including item exposure control), and CD-CAT performance evaluation in terms of classification accuracy, item exposure, and test length. In conclusion, an R package is made available to researchers and practitioners that allows for an easy implementation of CD-CAT in both simulation and applied studies. Ultimately, this is expected to facilitate the development of empirical applications in this area.