Applications of latent class analysis in social science research

被引：0
|
作者：
Vermunt, JK [1 ]
机构：
[1] Tilburg Univ, Dept Methodol & Stat, NL-5000 LE Tilburg, Netherlands
来源：
SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDING | 2003年 / 2711卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An overview is provided of recent developments in the use of latent class (LC) models in social science research. Special attention is paid to the application of LC analysis as a factor-analytic tool and as a tool for random-effects modeling. Furthermore, an extension of the LC model to deal with nested data structures is presented.
引用
收藏
页码：22 / 36
页数：15
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