心理学
简单(哲学)
认知心理学
二次方程
匹配(统计)
灵活性(工程)
计量经济学
多级模型
增长曲线(统计)
线性模型
潜在增长模型
发展心理学
计算机科学
统计
机器学习
数学
认识论
哲学
几何学
作者
Nilam Ram,Kevin J. Grimm
标识
DOI:10.1177/0165025407077751
摘要
Growth curve modeling has become a mainstay in the study of development. In this article we review some of the flexibility provided by this technique for describing and testing hypotheses about: (1) intraindividual change across multiple occasions of measurement, and (2) interindividual differences in intraindividual change. Through empirical example we demonstrate how linear, quadratic, latent basis, exponential, and multiphase versions of the model can be specified using commonly available SEM/multilevel modeling software and illustrate and discuss how results are obtained and interpreted. Particularly, we underscore the “developmental theory” articulated by each model.
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