McArdle J J, Epstein D
Child Dev. 1987 Feb;58(1):110-33.
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.
本报告使用结构方程模型，将重复测量方差分析中的传统思想与纵向因素分析中的一些传统思想相结合。包含相关性、方差和均值的纵向模型被描述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体和群体动态的参数。该模型的统计基础允许对各种发展思想进行假设检验，包括替代动态函数模型和这些函数中个体差异来源的模型。通过一组来自幼儿的纵向韦氏儿童智力量表（WISC）数据，并使用LISREL V计算机程序，对这些潜在增长模型的各个方面进行了说明。
