Computerized Adaptive and Multistage Testing with R: Using Packages catR and mstR

This book provides a comprehensive overview of computerized adaptive testing (CAT) and multistage testing (MST) using the R programming language. Written by experts in the field, it takes a practical approach, guiding readers through the methodology and applications of these advanced testing techniques.

The authors delve into the intricacies of adaptive testing, explaining how it can optimize the assessment process by adjusting the difficulty of questions based on the test taker's performance. They detail the use of the R packages catR and mstR, offering hands-on examples that allow readers to grasp the concepts thoroughly.

In addition to theory, the book emphasizes practical applications, illustrating how educators and researchers can implement these testing methods in various contexts. It balances foundational principles with real-world scenarios, making it accessible for both newcomers and seasoned professionals in psychometrics.

Ultimately, this resource stands out for its clarity and detailed approach, positioning itself as an essential guide for anyone looking to harness the power of adaptive testing techniques in R.