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Advances in Psychological Science    2015, Vol. 23 Issue (3) : 529-538     DOI: 10.3724/SP.J.1042.2015.00529
Research Methods |
Factor Mixture Model: An Integration of Latent Class Analysis and Factor Analysis
CHEN Yushuai; WEN Zhonglin; GU Honglei
(Center for Studies of Psychological Application/School of Psychology, South China Normal University, Guangzhou 510631, China)
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Abstract  

Factor Mixture Model (FMM) is a factor analysis model in which the latent population heterogeneity is considered. Combined with latent class analysis (LCA) and traditional factor analysis (FA), the FMM model consistently preserves the advantages of these two statistical methods, and has some unique features as well. Present empirical applications of FMM include the description of latent structure of variables, classification of subjects, and detection of social desirability bias. We suggest to fit data with FA, LCA and FMM respectively, and to choose an optimal model according to the fit indexes and practical implications. By applying FMM to build the measurement model of consciousness of social face, we illustrate the analysis steps and software operation procedures. Future research efforts are needed for some issues on FMM, such as the simplification of analytical process and the selection of fit index.

Keywords factor mixture model      latent class analysis      factor analysis     
Corresponding Authors: WEN Zhonglin, E-mail: wenzl@scnu.edu.cn   
Issue Date: 15 March 2015
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CHEN Yushuai
WEN Zhonglin
GU Honglei
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CHEN Yushuai,WEN Zhonglin,GU Honglei. Factor Mixture Model: An Integration of Latent Class Analysis and Factor Analysis[J]. Advances in Psychological Science, 2015, 23(3): 529-538.
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http://journal.psych.ac.cn/xlkxjz/EN/10.3724/SP.J.1042.2015.00529     OR     http://journal.psych.ac.cn/xlkxjz/EN/Y2015/V23/I3/529
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