Bayesian IRT Models with General and Specific Traits

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Focusing on the innovative integration of general and specific trait dimensions, this book introduces IRT-based models within a Bayesian hierarchical framework. It assesses their performance in various testing scenarios and compares them to traditional IRT models through Bayesian model choice techniques. The findings indicate that these new models provide a more effective representation of test situations. This work is particularly beneficial for professionals in educational and psychological measurement, offering insights into complex IRT model development and statistical parameter estimation.