The study looked at using Bayesian methods to estimate item parameters in a two-parameter logistic model. They tested this using simulated data with different types of priors. The results showed that the Bayesian estimates, whether using informative or non-informative priors, had varying levels of bias, ranging from moderate to severe. This suggests that caution should be taken when using priors in empirical research.