Studies of Psychology and Behavior

›› 2006, Vol. 4 ›› Issue (4): 306-311.

• 论文 • Previous Articles     Next Articles

The Application of Full-information Factor Analysis in Psychology

Yu Zonghuo1, Dai Haiqi2, Tang Xiaojuan3   

  1. (1 Department of Psychology，Peking University, Beijing 100871; 2 School of Education, Jiangxi Normal University, Nanchang 330027; 3 College of mathematics and information science, Nanchang institute of aeronautical technology, 330063)
  • Received:2006-06-16 Revised:1900-01-01 Online:2006-12-20 Published:2006-12-20
  • Contact: Yu Zonghuo

全息项目因素分析在心理学研究中的应用

俞宗火1 戴海崎2 唐小娟3   

  1. （1北京大学心理系，北京 100871）（2江西师范大学教育学院，南昌 330027）（3南昌航空工业学院数学与信息科学学院，南昌 330063）
  • 通讯作者: 俞宗火

PDF (PC)

Abstract: 　　The limit of classical linear factor analysis was pointed firstly, then a new method, full-information factor analysis was illustrated in this study. It is based on all the information available from ″examinee-item matrix″, in contrast to just the information available from the covariance or correlation matrix. It overcomes most limits of classical linear factor analysis and plays a role on which can′t be replace by other factor analysis techniques in psychology-research context, especially in personality-research.

Key words: classical linear factor analysis, full-information factor analysis, psychological research

摘要： 文章首先指出了经典线性因素分析的种种局限；然后介绍了一种基于“被试—项目矩阵”而非仅仅协方差矩阵或相关矩阵的全息项目因素分析，该方法能克服经典线性因素分析的种种局限，在心理学研究中尤其是人格研究中有着其他因素分析方法不可替代的作用。

关键词: 经典线性因素分析, 全息项目因素分析, 心理学研究

CLC Number: