摘要
基于交叉滞后结构的追踪模型对于揭示变量间纵向关系具有重要作用,也为因果关系的验证奠定了基础。交叉滞后面板模型在一定条件下可转换为其他形式的模型,如何选择适当的模型是重要的议题。研究对各模型进行概述,并从模型结构、预设轨迹、时间点要求等方面进行比较,最后通过一个实例说明如何选择适当的模型。结果表明,不同模型在变量关系的判断上可能给出很不同的结果,实际运用中应当有模型选择和模型比较的意识。
A cross-lagged structure usually consists of two kinds of effects,autoregressive effects of the prior level of a variable on the current level of itself,and cross-lagged effects of the prior level of one variable on the current level of another variable.Longitudinal models with the cross-lagged structure are well recognized as powerful techniques for revealing longitudinal relations between two variables and laying the foundation of diachronic causation.There have been several cross-lagged longitudinal models,while practitioners know little about the association and difference among them,which makes it difficult to choose the most proper one.Although these models are similar in structure,they may differ in the results of estimation.Thus,it is necessary to get a whole picture of these longitudinal models and learn how to compare and choose among them.The present study aims to analyze different cross-lagged longitudinal models and compare them,so as to reveal the importance of model comparison and model selection and provide strategies to select among models.First,we introduce four popular longitudinal models with cross-lagged structure:Cross-Lagged Panel Model(CLPM),Random-Intercept Cross-Lagged Panel Model(RI-CLPM),Latent Curve Model with Structured Residuals(LCM-SR),and Latent Change Score Model(LCS).Then,we clarify the similarities and associations among them.Next,we discuss their differences in various aspects.Finally,we conduct an empirical study to illustrate the procedure of model selection.Results show that:(1)These models are very similar in the model configuration because they all analyze diachronic relations by the cross-lagged structure;(2)CLPM can transform into RI-CLPM,LCM-SR and LCS under certain conditions;(3)Different models focus on different developmental characteristics and each of them can provide valuable information on the change process;(4)These models could give different estimation results when applied to the same data set,which may induce different conclusions.We summarize several refe
作者
方俊燕
温忠麟
黄国敏
Fang Junyan;Wen Zhonglin;Huang Guomin(Leisure Sports and Management Faculty,Guangzhou Sport University,Guangzhou,5105001;Center for Studies of Psychological Application/School of Psychology,South China Normal University,Guangzhou,510631;School of Psychology,South China Normal University,Guangzhou,510631)
出处
《心理科学》
CSCD
北大核心
2023年第3期734-741,共8页
Journal of Psychological Science
基金
国家自然科学基金项目(32171091)的资助。
关键词
纵向关系
交叉滞后
追踪模型
模型选择
longitudinal relation
cross-lagged
longitudinal model
model selection
