極端反應風格之多向度試題反應理論模式的發展與應用

This study aims to develop a new set of multidimensional item response theory (MIRT) models for extreme response style (ERS). Four polytomous MIRT models were extended to incorporate the ERS effect in the item response functions. We conducted a series of simulations to assess the efficiency of the proposed models in terms of parameter recovery using Bayesian estimation. The results showed that a large sample size, a great number of dimensions, and high correlation between dimensions were associated with satisfactory item parameter recovery and that the latent trait and ERS weight parameters could be estimated precisely when the large sample size, the long test length and a great number of dimensions were used. In addition, as in multidimensional IRT models, the correlation between latent traits can provide precise latent trait estimation. An empirical example was provided to demonstrate the applications of the proposed model to real data analysis and the consequences of ignoring the ERS effect on persons' parameter estimation were investigated. We closed this article by addressing several suggestions for future study.