Analyzing reciprocal relationships by means of the continuous-time autoregressive latent trajectory model
Analyzing reciprocal relationships by means of the continuous-time autoregressive latent trajectory model
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DOI：
10.1111/j.1467-9574.2007.00386.x
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发表时间：
2008-02-01
影响因子：
1.5
通讯作者：
Oud, Johan H. L.
中科院分区：
文献类型：
--
作者：
Delsing, Marc J. M. H.;Oud, Johan H. L.
在过去的几十年里，一些分析工具已经成为可用于在非实验背景下使用结构方程模型（SEM）的互惠关系的分析。自回归潜在轨迹（ALT）模型是最近提出的模型[BOLLEN and CURRAN Sociological Methods and Research（2004）Vol.32，pp. 336-383; CURRAN和BOLLEN分析变化的新方法（2001）美国心理学协会，华盛顿，DC]，其捕获自回归（AR）交叉滞后模型和潜在轨迹（LT）模型两者的特征。本文讨论的优点和缺点，并演示了如何解决的几个问题，可以通过一个连续时间的版本：连续时间自回归潜轨（CALT）模型。使用SEM估计精确离散模型（EDM），EDM/SEM连续时间程序被应用于反社会行为和抑郁症状之间的相互关系的CALT模型。
Over the past decades, several analytic tools have become available for the analysis of reciprocal relations in a non-experimental context using structural equation modeling (SEM). The autoregressive latent trajectory (ALT) model is a recently proposed model [BOLLEN and CURRAN Sociological Methods and Research (2004) Vol. 32, pp. 336-383; CURRAN and BOLLEN New Methods for the Analysis of Change (2001) American Psychological Association, Washington, DC], which captures features of both the autoregressive (AR) cross-lagged model and the latent trajectory (LT) model. The present article discusses strengths and weaknesses and demonstrates how several of the problems can be solved by a continuous-time version: the continuous-time autoregressive latent trajectory (CALT) model. Using SEM to estimate the exact discrete model (EDM), the EDM/SEM continuous-time procedure is applied to a CALT model of reciprocal relations between antisocial behavior and depressive symptoms.