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 对齐探索性结构方程模型:多组探索性结构方程模型与对齐法的整合(PDF)

《心理学探新》[ISSN:1003-5184/CN:36-1228/B]

期数:
 2025年04期
页码:
 370-377
栏目:
 
出版日期:
 2025-08-30

文章信息/Info

Title:
 Aligned-Exploratory Structural Equation Modeling:Integration of Multiple-group ESEM and Alignment
文章编号:
1003-5184(2025)04-0370-08
作者:
 温聪聪1; 黄依梵2
 (1.厦门大学国际学院,厦门 361005; 2.厦门大学高等教育发展研究中心,厦门 361005)
Author(s):
 Wen Congcong1; Huang Yifan2
 (1.International College,Xiamen University,Xiamen 361005; 2.Center for Higher Education Development Research,Xiamen University,Xiamen 361005)
关键词:
 多组探索性结构方程模型;  对齐法;  对齐探索性结构方程模型;  测量不变性;  多组比较
Keywords:
 multiple-group exploratory structural equation model;  alignment;  aligned exploratory structural equation model;  measurement invariance;  multiple-group comparison
分类号:
 B841.2
DOI:
 -
文献标识码:
 A
摘要:
 当多组探索性结构方程模型中存在一定量的不等参数时,传统强测量不变性检验难以获取精确的截距和潜因子均值估计结果。而当传统对齐法模型中存在交叉载荷时,亦无法精确估计因子载荷、潜因子间协方差和潜因子均值等参数。文章系统阐述多组验证性因子分析、多组探索性结构方程模型、传统对齐法和对齐探索性结构方程模型的原理和运算过程,并总结了对齐探索性结构方程模型整合对齐法和多组探索性结构方程模型的优势:第一,有效绕开强测量不变性假设进行测量不变性检验和多组比较; 第二,基于模型度较好的形态不变模型进行建模; 第三,提供更精确的主载荷、交叉载荷、不等参数、潜因子间协方差、潜因子均值等参数估计; 第四,为模型中的参数不变性/不等性提供诊断。最后,以中国大学生职业价值观研究为例,演示在Mplus中对齐探索性结构方程模型的实现步骤,证实该方法在不满足强测量不变性条件下的适用性。
Abstract:
 When certain noninvariant parameters exist in multiple-group ESEM model,strong measurement invariance model struggles to yield precise estimates of intercepts and factor means.Conversely,traditional alignment method cannot accurately estimate factor loadings,factor covariances,or factor mean parameters when the model contains cross-loadings.This article systematically elaborates on the theoretical principles and computational procedures of multi-group CFA,multi-group ESEM,traditional alignment method,and aligned-ESEM.It summarizes the advantages of integrating the alignment method with multiple-group ESEM:bypassing the strong measurement invariance assumption for measurement invariance testing and multi-group comparisons; utilizing well-fitting configural invariance model for analysis; providing more accurate estimates of primary loadings,cross-loadings,noninvariant parameters,factor covariances,and factor means; and offering diagnostic insights into parameter-specific invariance/non-invariance within the model.Finally,using a study on work values among Chinese undergraduates as an example,the implementation steps of aligned-ESEM in Mplus are demonstrated,confirming the method’s applicability when strong measurement invariance conditions are unmet.

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备注/Memo

备注/Memo:
 基金项目:2024年度福建省教育系统哲学社会科学研究项目(JSZF24001)。
通信作者:黄依梵,E-mail:yifanhuang@xmu.edu.cn。
更新日期/Last Update:  2025-08-30