McArdle J J, Hamagami F
Department of Psychology, University of Virginia, Charlottesville 22903.
Exp Aging Res. 1992 Autumn-Winter;18(3-4):145-66. doi: 10.1080/03610739208253917.
In this paper we describe some mathematical and statistical models for identifying and dealing with changes over age. We concentrate specifically on the use of a latent growth structural equation model approach to deal with issues of: (1) latent growth models of change, (2) differences in longitudinal and cross-sectional results, and (3) differences due to longitudinal attrition. This is a methodological paper using simulated data, but we base our models on practical and conceptual principles of modeling change in developmental psychology. Our results illustrate both benefits and limitations using structural models to analyze incomplete longitudinal data.
在本文中，我们描述了一些用于识别和处理随年龄变化的数学和统计模型。我们特别专注于使用潜在增长结构方程模型方法来处理以下问题：（1）变化的潜在增长模型，（2）纵向和横截面结果的差异，以及（3）由于纵向损耗导致的差异。这是一篇使用模拟数据的方法学论文，但我们的模型基于发展心理学中变化建模的实际和概念性原则。我们的结果说明了使用结构模型分析不完整纵向数据的优点和局限性。
