LATENT GROWTH-CURVES WITHIN DEVELOPMENTAL STRUCTURAL EQUATION MODELS
LATENT GROWTH-CURVES WITHIN DEVELOPMENTAL STRUCTURAL EQUATION MODELS
复制标题
DOI：
10.2307/1130295
复制
发表时间：
1987-02-01
影响因子：
4.6
通讯作者：
EPSTEIN, D
中科院分区：
文献类型：
--
作者：
MCARDLE, JJ;EPSTEIN, D
本报告使用结构方程模型，将重复测量方差分析的传统观点与纵向因素分析的一些传统观点相结合。包含相关性、方差和均值的纵向模型称为潜在增长曲线模型(LGM)。当与重复测量数据合并时，该技术允许估计代表个人和群体动态的参数。这个模型的统计基础允许对各种发展思想进行假设检验，包括替代动态功能的模型和这些功能中个体差异的来源模型。使用LISREL V计算机程序，通过一组来自幼儿的纵向WISC数据，说明了这些潜在生长模型的各个方面。
This report uses structural equation modeling to combine traditional ideas from repeated-measures ANOVA with some traditional ideas from longitudinal factor analysis. A longitudinal model that includes correlations, variances, and means is described as a latent growth curve model (LGM). When merged with repeated-measures data, this technique permits the estimation of parameters representing both individual and group dynamics. The statistical basis of this model allows hypothesis testing of various developmental ideas, including models of alternative dynamic functions and models of the sources of individual differences in these functions. Aspects of these latent growth models are illustrated with a set of longitudinal WISC data from young children and by using the LISREL V computer program.