An Illustration of Second-Order Latent Growth Models
An Illustration of Second-Order Latent Growth Models
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DOI：
10.1207/s15328007sem0803_7
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发表时间：
2001-01-01
影响因子：
6
通讯作者：
Lawrence, Frank R.
中科院分区：
文献类型：
--
作者：
Hancock, Gregory R.;Kuo, Wen-Ling;Lawrence, Frank R.
潜在曲线分析（潜在增长模型）方法最近已成为调查测量变量纵向变化的通用工具。本文使用McArdle（1988）和Tisak和Meredith（1990）建议的高阶因子模型，说明了潜在曲线分析，目的是直接模拟潜在结构中的纵向变化。假设感兴趣的结构由几个测量变量指示，所有这些变量都在相同的多个时间点观察到。同时估计的协方差和平均结构的例子提供了一个单一的组和两组的情况。
Methods of latent curve analysis (latent growth modeling) have recently emerged as a versatile tool for investigating longitudinal change in measured variables. This article, using higher order factor models as suggested by McArdle (1988) and Tisak and Meredith (1990), illustrates latent curve analysis for the purpose of modeling longitudinal change directly in a latent construct. The construct of interest is assumed to be indicated by several measured variables, all of which are observed at the same multiple time points. Examples with simultaneous estimation of covariance and mean structures are provided for both a single group and a two-group scenario.