Confirmatory Factor Analysis: An Introduction for Psychosomatic Medicine Researchers

被引:131
作者
Babyak, Michael A. [1 ]
Green, Samuel B. [2 ]
机构
[1] Duke Univ, Med Ctr, Dept Psychiat & Behav Sci, Durham, NC 27710 USA
[2] Arizona State Univ, Div Psychol Educ, Tempe, AZ 85287 USA
来源
PSYCHOSOMATIC MEDICINE | 2010年 / 72卷 / 06期
关键词
confirmatory factor analysis; mathematical model; model fit and identification; structural equation modeling; coronary artery disease; psychosomatic research; MODEL; DEPRESSION; HEALTH;
D O I
10.1097/PSY.0b013e3181de3f8a
中图分类号
R749 [精神病学];
学科分类号
100204 [神经病学];
摘要
We present an introduction to the basic concepts essential to understanding confirmatory factor analysis (CFA). We initially discuss the underlying mathematical model and its graphical representation. We then show how parameters are estimated for the CFA model based on the maximum likelihood function. Finally, we discuss several ways in which model fit is evaluated as well as introduce the concept of model identification. In our presentation, we use an example to illustrate the application of CFA to psychosomatic research and touch on the more general role of structural equation modeling in psychosomatic research.
引用
收藏
页码:587 / 597
页数:11
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