Overview of Adaptive Testing

  • David Magis
  • Duanli Yan
  • Alina A. von Davier
Part of the Use R! book series (USE R)


In this book, we provide a general overview of computerized adaptive tests (CAT) and multistage tests (MST), as well as item response theory (IRT). We briefly discuss the important concepts associated with CATs and MSTs. We then introduce the R open source software packages catR and mstR for CAT and MST simulations, and provide examples on how to use catR and mstR for simulations.


  1. Betz, N. E., & Weiss, D. J. (1974). Simulation studies of two-stage ability testing (Research Report 74-4). Minneapolis: University of Minnesota.Google Scholar
  2. Hambleton, R. K., & Swaminathan, H. (1985). Item response theory: Principles and applications. Boston: Kluwer.CrossRefGoogle Scholar
  3. Hendrickson, A. (2007). An NCME instructional module on multistage testing. Educational Measure: Issues and Practice, 26, 44–52. CrossRefGoogle Scholar
  4. Kosinski, M., Lis, P., Mahalingam, V., Kielczewski, B., Okubo, T., Stillwell, D., et al. (2013). Concerto - Open-source online R-based adaptive testing platform (Version 4.0) [Computer software manual]. Cambridge, UK: The Psychometrics Centre.Google Scholar
  5. Lord, F. M. (1974). Practical methods for redesigning a homogeneous test, also for designing a multilevel test (Research Bulletin No. RB-74-30). Princeton, NJ: Educational Testing Service.Google Scholar
  6. Lord, F. M. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Erlbaum.Google Scholar
  7. Luecht, R. M. (1998). Computer-assisted test assembly using optimization heuristics. Applied Psychological Measurement, 22, 224–236. CrossRefGoogle Scholar
  8. Mills, C. N., Potenza, M. T., Fremer, J. J., & Ward, W. C. (2002). Computer-based testing: Building the foundation for future assessments. Mahwah, NJ: Lawrence Erlbaum.Google Scholar
  9. Rudner, L. M. (1998). Item banking. Practical Assessment, Research, and Evaluation, 6, 41.Google Scholar
  10. van der Linden, W. J., Ariel, A., & Veldkamp, B. P. (2006). Assembling a computerized adaptive testing item pool as a set of linear tests. Journal of Educational and Behavioral Statistics, 31, 81–99. CrossRefGoogle Scholar
  11. van der Linden, W. J., & Glas, C. A. W. (2010). Elements of adaptive testing. New York: Springer.CrossRefzbMATHGoogle Scholar
  12. Wainer, H. (2000). Computerized adaptive testing: A primer (2nd ed.). New York: Routledge/Taylor and Francis.Google Scholar
  13. Wainer, H., Bradlow, E. T., & Wang, X. (2007). Testlet response theory and its applications. Cambridge: Cambridge University Press.CrossRefzbMATHGoogle Scholar
  14. Wainer, H., Kaplan, B., & Lewis, C. (1992). A comparison of the performance of simulated hierarchical and linear tests. Journal of Educational Measurement, 29, 243–251. CrossRefGoogle Scholar
  15. Yan, D., von Davier, A. A., & Lewis, C. (2014). Computerized multistage testing: Theory and applications. New York: CRC Press.Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • David Magis
    • 1
  • Duanli Yan
    • 2
  • Alina A. von Davier
    • 3
  1. 1.Department of EducationUniversity of LiegeLiegeBelgium
  2. 2.Educational Testing ServicePrincetonUSA
  3. 3.ACTNext by ACTIowa CityUSA

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