Multidimensional Computerized Adaptive Testing Simulations in R

Computerized Adaptive Testing (CAT) is a beneficial test technique that decreases the number of items need to be administered by taking in accordance with individuals' own ability levels. After CAT applications were constructed based on unidimensional Item Response Theory (IRT), Multidimensional (MCAT) have gained momentum improvement multidimensional IRT (MIRT) models recent years. Researchers often benefit from simulation studies order design final adaptive testing application and effectiveness they developed different methods. Recently, R has become one most widely used programming languages Monte Carlo Simulation since it free open-source software. The aims this study are present MCAT process step environment, examine effects conditions researchers can handle during according two dimensional models, effect treating structures as results. In direction, datasets generated within-item dimensionality between-item customizations, results compared All commands required for each example explained shared condition.