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simpolycat: an SAS program for conducting CAT simulation based on polytomous IRT models.

Ssu-Kuang Chen¹, Karon F Cook

¹National Chiao Tung University, Taiwan, Republic of China. schen75025@gmail.com

Behavior Research Methods

|April 14, 2009

Summary

SIMPOLYCAT is an SAS macro program for simulating computerized adaptive testing (CAT) with polytomous item response theory (IRT) models. It enables evaluation of CAT system features using real or generated data before live deployment.

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Area of Science:

Psychometrics
Educational Measurement
Statistical Software

Background:

Computerized Adaptive Testing (CAT) requires robust simulation for system evaluation.
Polytomous Item Response Theory (IRT) models are crucial for complex assessments.
Existing simulation tools may lack specific functionalities for polytomous CAT.

Purpose of the Study:

Introduce SIMPOLYCAT, an SAS macro for polytomous IRT-based CAT simulations.
Describe the SIMPOLYCAT program algorithm, parameters, and functionalities.
Demonstrate the application of SIMPOLYCAT using generated and real data.

Main Methods:

SIMPOLYCAT utilizes SAS macro programming.
It supports both externally sourced and internally generated item response data.
Users can customize various CAT parameters including item selection, trait estimation, and stopping rules.

Main Results:

SIMPOLYCAT facilitates comprehensive real-data simulations of polytomous CAT.
The program allows flexible configuration of simulation parameters.
Visual comparisons of simulation outcomes are readily obtainable for analysis.

Conclusions:

SIMPOLYCAT provides a valuable tool for CAT developers to test and refine polytomous IRT-based systems.
The software enhances the evaluation of CAT features prior to live implementation.
Its flexibility supports diverse simulation scenarios for psychometric research.