Improve your assessments by making them adaptive!
Computerized adaptive testing (CAT) is a sophisticated approach for delivering tests, surveys, and other measurements. It is based on complex computer algorithms that adapt the test to each examinee while also controlling for practical issues such as content distribution, item exposure, and test length. CATs have been shown to reduce test length by up to 90% without a loss of precision. However, to achieve such a reduction and make use of the advantages of CAT, it is absolutely essential that the CAT developer perform research studies to simulate the performance of CATs (see Thompson & Weiss, 2011).
Establish validity with simulation studies
CATSim implements three types of simulations for computerized adaptive testing (CAT): post-hoc (real-data) simulations, hybrid simulations, and monte-carlo simulations. These should be used in various stages of developing a CAT by documenting validity evidence for CAT options such as starting theta, theta estimation method, item selection method, item exposure control, and termination criterion.
CATSim implements simulations for all three dichotomous item response theory (IRT) models and five polytomous IRT models. CATSim includes all of the CAT options in FastTest, our secure platform for online testing, so that the results of using CATSim can easily be implemented in your testing program.