STRUCTURAL EQUATION MODELING WITH LONGITUDINAL DATA - STRATEGIES FOR EXAMINING GROUP-DIFFERENCES AND RECIPROCAL RELATIONSHIPS
STRUCTURAL EQUATION MODELING WITH LONGITUDINAL DATA - STRATEGIES FOR EXAMINING GROUP-DIFFERENCES AND RECIPROCAL RELATIONSHIPS
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DOI：
10.1037/0022-006x.62.3.477
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发表时间：
1994-06-01
影响因子：
5.9
通讯作者：
FARRELL, AD
中科院分区：
文献类型：
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作者：
FARRELL, AD
本文描述了在被动纵向设计中使用带有潜在变量的结构方程模型来检验群体差异和测试有关因果关系的竞争模型。该方法与其他几种统计方法进行了比较，包括交叉滞后面板相关性分析、回归分析和路径分析。以青少年酒精使用的三波纵向研究为例，说明了结构方程模型的机制和优点。在本例中，评估了测量模型和结构模型在性别和时间上的普遍性，并测试了关于青少年酒精使用的原因和后果的竞争模型。文章最后讨论了使用纵向数据的结构方程建模的一些优点和局限性。
This article describes the use of structural equation modeling with latent variables to examine group differences and test competing models about cause-effect relationships in passive longitudinal designs. This approach is compared with several other statistical methods including analysis of cross-lagged panel correlations, regression analysis, and path analysis. The mechanics and advantages of structural equation modeling are illustrated using an example based on a 3-wave longitudinal study of adolescents' alcohol use. Within this example, the generalizability of the measurement model and structural model are assessed across gender and time, and competing models about the causes and consequences of adolescents' alcohol use are tested. The article concludes with a discussion of some of the strengths and limitations of using structural equation modeling with longitudinal data.