Collins L M
J.P. Guilford Laboratory of Quantitative Psychology, Department of Psychology, University of Southern California, Los Angeles 90089-1061.
Exp Aging Res. 1991 Spring;17(1):13-20. doi: 10.1080/03610739108253882.
Dynamic latent variables involve systematic intraindividual change over time. Although it seems natural to apply traditional measurement theory to dynamic latent variables, in fact this is often inappropriate. Traditional measurement theory is based on the idea of static latent variables and offers little guidance to the researcher who wishes to measure a dynamic latent variable with a high degree of accuracy and validity. It is the contention of this article that measurement of a dynamic latent variable must start from a clearly defined substantive theory about human development. Two approaches that take this perspective are presented: the longitudinal Guttman simplex (LGS), a measurement model for dynamic latent variables undergoing irreversible cumulative, unitary development; and latent transition analysis (LTA), a more general latent class measurement model.
动态潜变量涉及个体内部随时间的系统性变化。虽然将传统测量理论应用于动态潜变量似乎很自然，但实际上这往往并不合适。传统测量理论基于静态潜变量的概念，对于希望高精度和有效度地测量动态潜变量的研究者而言，几乎无法提供指导。本文的论点是，对动态潜变量的测量必须从关于人类发展的明确定义的实质性理论出发。本文介绍了从这一角度出发的两种方法：纵向古特曼单形模型（LGS），一种用于经历不可逆累积、单一发展的动态潜变量的测量模型；以及潜在转变分析（LTA），一种更通用的潜在类别测量模型。
