Gibbons, R. D., Bock, R. D., Hedeker, D., Weiss, D. J., Segawa, E., Bhaumik, D. K. et al. (2007). Full-information item bifactor analysis of graded response data. Applied Psychological Measurement, 31, 4-19.
被以下文章引用:
-
标题:
多维项目反应理论的计量模型、参数估计及应用Multidimensional Item Response Theory: Psychometric Models, Parameter Estimation and Application
作者:
王鹏, 朱新立, 王芳
关键字:
多维项目反应理论, 计量模型, 参数估计Multidimensional Item Response Theory, Psychometric Model, Parameter Estimation
期刊名称:
《Advances in Psychology》, Vol.5 No.6, 2015-06-26
摘要:
多维项目反应理论是现代心理测量理论的新发展，文章对多维项目反应理论的计量模型、参数估计及应用进行了综述，认为多维项目反应理论模型开发应与认知结构相结合，马尔科夫链蒙特卡洛方法能较好地实现多维项目反应理论的参数估计，应加强多种题型、多种多维项目反应模型结合的参数估计研究，建议使用基于最大信息量法的多维项目反应理论模型计算测验的总分。
Multidimensional Item Response Theory (MIRT) is the new development of modern psychometric theories. The psychometric models, parameter estimation and application of MIRT are overviewed in this paper. It is concluded that the development of MIRT models should be combined with cognitive construct, the method of MCMC should be used to enhance the parameter estimation of MIRT, the research of the mixed MIRT should be strengthened, and the method of maximum information should be used to get the total score of a test.