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Advances in Psychological Science    2018, Vol. 26 Issue (5) : 781-788     DOI: 10.3724/SP.J.1042.2018.00781
Research Methods |
 The analyses of multilevel moderation effects based on structural equation modeling
 FANG Jie1; WEN Zhonglin2; WU Yan3
 (1 School of Humanities and Communication, Guangdong University of Finance & Economics, Guangzhou 510320, China) (2 Center for Studies of Psychological Application & School of Psychology, South China Normal University, Guangzhou 510631, China) (3 Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou 510420, China)
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Abstract   In recent years, multilevel models (MLM) have been frequently used for studying multilevel moderation in social sciences. However, there still exist sampling errors and measurement errors even after separating the between-group effects from the within-group effects of multilevel moderation. To solve this problem, a new method has been developed abroad by integrating MLM with structural equation models (SEM) under the framework of multilevel structural equation models (MSEM) to set latent variables and multiple indicators. It has been showed that the method could rectify sampling errors and measurement errors effectively and obtain more accurate estimation of moderating effects. After introducing the new method by modeling with random coefficient prediction and with latent moderated structural equations, we propose a procedure for analyzing multilevel moderation by using MSEM. An example is illustrated with the software Mplus. Totally 29 articles, published in Chinese psychological journals from 2010 to 2017, are reviewed for evaluating the situation of using multilevel moderation analysis methods in psychological researches in China. Directions for future study on multilevel moderation and MSEM were discussed at the end of the paper.
Keywords multilevel model      multilevel moderation      sampling error      random coefficient      Latent moderated structural equation     
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Corresponding Authors: FANG Jie, E-mail: fangj@gdufe.edu.cn      E-mail: E-mail: fangj@gdufe.edu.cn
Issue Date: 30 March 2018
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FANG Jie
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FANG Jie,WEN Zhonglin,WU Yan.  The analyses of multilevel moderation effects based on structural equation modeling[J]. Advances in Psychological Science, 2018, 26(5): 781-788.
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http://journal.psych.ac.cn/xlkxjz/EN/10.3724/SP.J.1042.2018.00781     OR     http://journal.psych.ac.cn/xlkxjz/EN/Y2018/V26/I5/781
[1] XU Long, GAO Suying, LIU Hongbo, YANG Peng.  Employee well-being in Chinese context: A multilevel model[J]. Advances in Psychological Science, 2017, 25(12): 2179-2191.
[2] FANG Jie;WEN Zhonglin;ZHANG Minqiang;REN Hao. Analyzing Multilevel Mediation Using Multilevel Structural Equation Models[J]. Advances in Psychological Science, 2014, 22(3): 530-539.
[3] FANG Jie;CHIOU Hawjeng;ZHANG Min-Qiang. Analysis of Contextual Effects on Multilevel Structural Equation Modeling: Compared with Multilevel Modeling[J]. , 2011, 19(2): 284-292.
[4] Guo Boliang,Chang Lei. A Meta-Analytic Review On The Correlation Of Children’s Aggression And Self Perceived Competencies[J]. , 2003, 11(05): 529-533.
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