Simulations of Computerized Adaptive Tests
In this chapter, we describe the R package catR that contains most CAT options and routines currently developed. Its general architecture is presented and most important R functions are explained and illustrated. Focus is put on detailing the input arguments and output values of the main functions, as well as the relationships between them and their accurate use in adaptive and non-adaptive contexts.
- Barrada, J. R., Abad, F. J., & Veldkamp, B. P. (2009). Comparison of methods for controlling maximum exposure rates in computerized adaptive testing. Psicothema, 21, 313–320.Google Scholar
- Barrada, J. R., Olea, J., Ponsoda, V., & Abad, F. J. (2008). Incorporating randomness to the fisher information for improving item exposure control in cats. British Journal of Mathematical and Statistical Psychology, 61, 493–513. https://doi.org/10.1348/000711007X230937 MathSciNetCrossRefGoogle Scholar
- Jeffreys, H. (1946). An invariant form for the prior probability in estimation problems. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences, 186, 453–461.Google Scholar
- Revuelta, J., & Ponsoda, V. (1998). A comparison of item exposure control methods in computerized adaptive testing. Journal of Educational Measurement, 35, 311–327. https://doi.org/10.1111/j.1745-3984.1998.tb00541.x CrossRefGoogle Scholar