An item response model with hierarchical latent traits

Hung-Yu HUANG, Wen Chung WANG, Po Hsi CHEN

Research output: Contribution to conferencePaper

Abstract

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.
Original languageEnglish
Publication statusPublished - 2010

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Citation

Huang, H.-Y., Wang, W.-C., & Chen, P.-H. (2010, May). An item response model with hierarchical latent traits. Paper presented at the Annual Meeting of American Educational Research Association: Understanding Complex Ecologies in a Changing World, Denver, CO.