We propose an item response theory model to analyse psychiatric questionnaires that contain embarrassing items. We use Bayesian methods to estimate its parameters and consider a simulation study to evaluate the performance of the proposed estimators. The results are illustrated with the analysis of data collected to evaluate teenager depression, highlighting the gender difference in the probabilities of 'crying crisis', a trait known to embarrass some male populations.
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