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Components of the item selection algorithm in computerized adaptive testing.

Journal of educational evaluation for health professions·2018

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Conducting simulation studies for computerized adaptive testing using SimulCAT: an instructional piece.

Kyung Chris Tyek Han¹

¹Graduate Management Admission Council, Reston, VA, USA.

Journal of Educational Evaluation for Health Professions

|August 18, 2018

Summary

Computerized adaptive testing (CAT) simulations are crucial for evaluating health professional licensing exams. The SimulCAT software aids in these evaluations, offering comprehensive tools for algorithm assessment and test development.

Keywords:

Adaptive Testing Computer software Simulation

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Area of Science:

Health professions education
Psychometrics
Computerized adaptive testing (CAT)

Background:

Computerized adaptive testing (CAT) is increasingly adopted globally for health professional licensing and certification.
CAT offers benefits like reduced test time and improved ability estimation.
Reliability of CAT necessitates rigorous evaluation through simulation studies.

Purpose of the Study:

Introduce SimulCAT, a software for conducting CAT simulation studies.
Explain key evaluation criteria and provide guidelines for CAT simulation.
Demonstrate a step-by-step tutorial for using SimulCAT.

Main Methods:

SimulCAT supports core CAT components: item selection criteria, exposure control, and content balancing.
The software accommodates variable and fixed test lengths and various scoring algorithms.
Simulation outputs include detailed data on responses, item usage, and ability/error estimation.

Main Results:

SimulCAT provides comprehensive output files for in-depth analysis of CAT simulations.
The software facilitates the evaluation of different CAT algorithm designs and implementations.
Guidelines and a tutorial enhance the practical application of CAT simulation studies.

Conclusions:

Simulation studies are essential at all stages of CAT development.
Practitioners should conduct CAT simulations tailored to specific conditions.
SimulCAT offers a robust platform for evaluating CAT programs in health professions.