Longitudinal Models for Studying Multivariate Changes and Dynamics

被引：3
|
作者：
Ferrer, Emilio [1 ]
Gonzales, Joseph E. [1 ]
机构：
[1] Univ Calif Davis, Dept Psychol, Davis, CA 95616 USA
来源：
ANNALS OF NUTRITION AND METABOLISM | 2014年 / 65卷 / 2-3期
基金：
美国国家科学基金会;
关键词：
Developmental processes; Dynamic systems; Longitudinal methods; Quantitative analysis; Statistics; GROWTH CURVE MODELS; LATENT; ACHIEVEMENT; HYPOTHESES; MOTIVATION; CHILDHOOD; POWER;
D O I：
10.1159/000365581
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
In this paper, we describe a longitudinal modeling approach for examining multivariate changes and dynamics. This technique is based on latent change scores and is executed using a structural equation modeling framework. We provide an overview of the model, describing desirable features for identifying dynamics among multiple processes. We then illustrate its application using empirical data consisting of longitudinal processes and conclude the paper with some potential steps for advancing the modeling possibilities. (C) 2014 S. Karger AG, Basel
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页码：184 / 197
页数：14
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