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.

[2]  Nathan A. Thompson Item Selection in Computerized Classification Testing , 2009 .

[3]  David Magis,et al.  Random Generation of Response Patterns under Computerized Adaptive Testing with the R Package catR , 2012 .

[4]  Wim J van der Linden,et al.  Constraining Item Exposure in Computerized Adaptive Testing With Shadow Tests , 2002 .

[5]  Eric T. Bradlow Teacher’s Corner: Negative Information and The Three-Parameter Logistic Model , 1996 .

[6]  Anthony R. Zara,et al.  Procedures for Selecting Items for Computerized Adaptive Tests. , 1989 .

[7]  H. Jeffreys,et al.  The Theory of Probability , 1896 .

[8]  H. Jeffreys An invariant form for the prior probability in estimation problems , 1946, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[9]  T. A. Warm Weighted likelihood estimation of ability in item response theory , 1989 .

[10]  Francisco José Abad,et al.  Comparison of methods for controlling maximum exposure rates in computerized adaptive testing. , 2009, Psicothema.

[11]  D. Magis A Note on the Item Information Function of the Four-Parameter Logistic Model , 2013 .

[12]  Eric T. Bradlow Negative Information and the Three-Parameter Logistic Model. Teacher's Corner. , 1996 .

[13]  David Magis,et al.  Computerized adaptive testing with R: Recent updates of the package catR , 2017 .

[14]  Vicente Ponsoda,et al.  A Comparison of Item Exposure Control Methods in Computerized Adaptive Testing , 1998 .

[15]  V. Ponsoda,et al.  A Method for the Comparison of Item Selection Rules in Computerized Adaptive Testing , 2010 .

[16]  Barbara G. Dodd,et al.  Computerized Adaptive Testing With Polytomous Items , 1995 .