基于混合IRT的潜在转变模型研究进展

Research Progress of Latent Transformation Model Based on Mixture IRT Model

潜在转变分析是一种用于处理纵向数据的分析方法,可以估计出个体在不同时间点的潜在状态变化,从转变率的角度研究个体发展的阶段性。本文从潜在转变模型发展的角度对基于混合IRT的潜在转变模型进行了系统阐述,总结出了基于混合项目反应理论的潜在转变(LTAMix IRT)模型、多水平LTA-Mix IRT模型以及多分属性的LTA-Mix IRT模型,对LTA-Mix IRT模型形成的理论基础、转变机制、模型的特性与应用等方面的内容进行了重点论述。最后指出了该模型的发展与应用前景,为后续的研究提供参考。

Latent transformation analysis is an analytical method for dealing with longitudinal data,which can estimate the potential state changes of individuals at different time points and study the stage of individual development from the perspective of transition rate. The latent transformation model based on hybrid IRT is systematically expounded from the perspective of potential transformation model. The LTA-MRM model,the multilevel LTA-Mix IRT model and the Multilevel scoring LTA-Mix IRT model are summarized. It also describes the theoretical basis of the formation of LTA-Mix IRT model,the mechanism of transformation,the characteristics and application of the model,and so on. Finally,the development and application prospect of the model are pointed out,which pave the way for the further research.