Computerized adaptive testing (CAT) is an active current research field in psychometrics and educational measurement. However, there is very little software available to handle such adaptive tasks. The R package catR was developed to perform adaptive testing with as much flexibility as possible, in an attempt to provide a developmental and testing platform to the interested user. Several item-selection rules and ability estimators are implemented. The item bank can be provided by the user or randomly generated from parent distributions of item parameters. Three stopping rules are available. The output can be graphically displayed.
BakerF. B.KimS.-H. (2004). Item response theory: Parameter estimation techniques (2nd ed.). New York, NY: Marcel Dekker.
2.
BartonM. A.LordF. M. (1981). An upper asymptote for the three-parameter logistic model (Technical Report RR-81-20). Princeton, NJ: Educational Testing Service.
3.
ChoiS. W. (2009). Firestar: Computerized adaptive testing simulation program for polytomous item response theory models. Applied Psychological Measurement, 33, 644-645.
4.
ChoiS. W.SwartzR. J. (2009). Comparison of CAT item selection criteria for polytomous items. Applied Psychological Measurement, 32, 419-440.
5.
RaîcheG.BlaisJ.-G. (2006). SIMCAT 1.0-A SAS computer program for simulating computer adaptive testing. Applied Psychological Measurement, 30, 60-61.
6.
van der LindenW. J.GlasC. A. W. (2000). Computerized adaptive testing: Theory and practice. Boston, MA: Kluwer.
7.
van der LindenW. J.PashleyP. J. (2000). Item selection and ability estimation in adaptive testing. In van der LindenW. J.GlasC. A. W. (Eds.), Computerized adaptive testing: Theory and practice (pp. 1-25). Boston, MA: Kluwer.
