Computerized Adaptive and Multistage Testing with R

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This guide provides a practical overview of computerized adaptive testing (CAT) and multistage testing (MST), illustrating methodologies and applications using R open source language with various data examples. It relies on the R packages catR and mstR, developed by the first author and team, which incorporate some of the latest research algorithms. The content includes basics of R, theoretical foundations of CAT and MST, CAT designs, assembly methodologies, simulations, applications, and IRT-based and tree-based MST methodologies. CAT has been widely utilized in large-scale assessments, while MST has gained popularity recently. R has emerged as a vital tool across various fields, including business and education, but its complexity poses a challenge for learners. This manual addresses the need for accessible resources to design and implement CAT and MST without incurring costs, leveraging the free R software. All examples and illustrations are generated using predefined R scripts, available for free download from the book's website, making it easier for users to engage with these advanced testing methodologies.