Hays R D, Marshall G N, Wang E Y, Sherbourne C D
Social Policy Department, RAND, Santa Monica, California 90407-2138.
J Consult Clin Psychol. 1994 Jun;62(3):441-9. doi: 10.1037//0022-006x.62.3.441.
This article provides an application of structural equation modeling to the evaluation of cross-lagged panel models. Self-reports of physical and mental health at 3 different time points spanning a 4-year interval were analyzed to illustrate the cross-lagged analysis methodology. Data were collected from a sample of 856 patients with hypertension, diabetes, heart disease, or depression (or any combination of these) participating in the Medical Outcomes Study. Cross-lagged analyses of physical and mental health constructs revealed substantial stability effects across time. A structural model with standard effects revealed positive effects of physical health on mental health but negative (suppression) effects of mental health on physical health. The effects of mental health on physical health became nonsignificant when the model was revised by adding nonstandard effects (direct effects of measured variable residuals on latent variables). Recommendations for structural equation modeling of cross-lagged panel data are provided.
本文介绍了结构方程模型在交叉滞后面板模型评估中的应用。分析了在4年时间跨度内3个不同时间点的身心健康自我报告，以说明交叉滞后分析方法。数据收集自参与医学结果研究的856名患有高血压、糖尿病、心脏病或抑郁症（或这些疾病的任何组合）的患者样本。身心健康结构的交叉滞后分析显示，随着时间推移存在显著的稳定性效应。一个具有标准效应的结构模型显示，身体健康对心理健康有积极影响，但心理健康对身体健康有消极（抑制）影响。当通过添加非标准效应（测量变量残差对潜在变量的直接效应）对模型进行修正后，心理健康对身体健康的影响变得不显著。文中还提供了关于交叉滞后面板数据结构方程建模的建议。
