Nonlinear Growth Curves in Developmental Research

被引:224
作者
Grimm, Kevin J. [1 ]
Ram, Nilam [2 ]
Hamagami, Fumiaki [3 ]
机构
[1] Univ Calif Davis, Dept Psychol, Davis, CA 95616 USA
[2] Penn State Univ, University Pk, PA 16802 USA
[3] Univ Virginia, Charlottesville, VA 22903 USA
基金
美国国家科学基金会;
关键词
MIXED-EFFECTS MODELS; COVARIANCE STRUCTURE; LONGITUDINAL DATA; MIXTURE-MODELS; FIT INDEXES; LATENT; REGRESSION; RESOURCES; MPLUS; AGE;
D O I
10.1111/j.1467-8624.2011.01630.x
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
Developmentalists are often interested in understanding change processes, and growth models are the most common analytic tool for examining such processes. Nonlinear growth curves are especially valuable to developmentalists because the defining characteristics of the growth process such as initial levels, rates of change during growth spurts, and asymptotic levels can be estimated. A variety of growth models are described beginning with the linear growth model and moving to nonlinear models of varying complexity. A detailed discussion of nonlinear models is provided, highlighting the added insights into complex developmental processes associated with their use. A collection of growth models are fit to repeated measures of height from participants of the Berkeley Growth and Guidance Studies from early childhood through adulthood.
引用
收藏
页码:1357 / 1371
页数:15
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