Structural modeling of mixed longitudinal and cross-sectional data.
Structural modeling of mixed longitudinal and cross-sectional data.
复制标题
混合纵向和横截面数据的结构建模。
DOI：
10.1080/03610739108253884
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发表时间：
1991
影响因子：
1.8
通讯作者：
Robbins,MA
中科院分区：
文献类型：
--
作者：
McArdle,JJ;Hamagami,F;Elias,MF;Robbins,MA
在本文中，我们描述了一些处理年龄变化的数学和统计模型。我们特别专注于使用结构方程建模（SEM）方法（使用LISREL等计算机程序）来处理以下问题：(1)回归参数的组差异，(2)纵向和横截面结果的差异，(3)纵向磨损引起的差异，以及(4)这些问题的混合。为了说明这些观点，我们使用了先前关于高血压和智力的研究数据（Schultz, Elias, Robbins, Streeten, and Blakeman, 1986）。
In this paper we describe some mathematical and statistical models for dealing with changes over age. We concentrate specifically on the use of astructural equation modeling(SEM) approach (using computer programs like LISREL) to deal with issues of: (1) group differences in regression parameters, (2) differences in longitudinal and cross-sectional results, (3) differences due to longitudinal attrition, and (4) mixtures of these problems. To illustrate these ideas we use data from a previous study of hypertension and intellectual abilities (from Schultz, Elias, Robbins, Streeten, and Blakeman, 1986).