Many latent traits in the human sciences have a hierarchical structure. This study aimed to develop an item response model to account for such a hierarchical structure in latent traits. Through a series of simulations, we demonstrated the parameters in the new model can be well recovered with the computer software WinBUGS; the deviance information criterion is effective for model comparison, and the posterior predictive model checking is helpful for the assessment of model-data fit.
|Publication status||Published - 2010|
|Event||2010 Annual meeting of American Educational Research Association : Understanding Complex Ecologies in a Changing World - Denver, United States|
Duration: 30 Apr 2010 → 04 May 2010
|Conference||2010 Annual meeting of American Educational Research Association : Understanding Complex Ecologies in a Changing World|
|Period||30/04/10 → 04/05/10|