Research for Practical Issues and Solutions in Computerized Multistage Testing

1. Introduction - History of Computerized Adaptive and Multistage Testing Part I: MST Design and Assembly 2. Purposeful Design for Useful MST: Considerations of choice in MST 3. MST Strategic Design Issues and Implementation 4. Designing Multistage Tests to Meet Accuracy and Efficiency Goals 5. Hybrid MST Designs in Passage-based Adaptive Tests 6. A Practical Approach to Find Optimal Design of Multistage Tests 7. MST and natural language processing for learning sciences Part II: MST Routing, Scoring, and Estimation 8. Multistage Testing with Inter-Sectional Routing for Short-Length Tests 9. Effect of Routing Errors on the Psychometric Properties of Multistage Tests 10. Item Calibration in MST 11. IRT Proficiency Estimation Methods Under Adaptive Multistage Testing 12. Multistage Tests Under D-Scoring Approach 13. Development and Application of Probability-weighted Classification for Multistage Testing 14. Creating Value from Process Data: Implications for Multistage Testing Part III: MST Evaluations 15. Predicting and Evaluating the Performance of Multistage Tests 16. Cognitive Diagnostic Multistage Adaptive Test 17. DIF in Multistage Testing 18. Robustness of current statistical methods to handle multistage test data 19. Conducting Simulation Studies in Computerized MST Research 20. Test Security Considerations for MST Part IV: Applications and Technologies 21. The new SAT - Considerations for the new SAT design and implementation 22. Build High-quality MST Panels with R package Rmst/xxIRT 23. Bayesian Inference for MST with R package dexterMST 24. Overview of Simulation Software 25. How Will AI Change Adaptive Testing? 26. Afterword - The Emergence of Personalized Ensemble Testing