Latent class and latent profile analyses in psychology: Basic principles and applications

被引:0
|
作者
Gana, Kamel [1 ]
Caumeil, Benjamin [1 ,2 ]
Broc, Guillaume [3 ]
机构
[1] Univ Bordeaux, Bordeaux, France
[2] Inst Natl Sport Expertise & Performance INSEP, Lab Sport Expertise & Performance EA 7370, Paris, France
[3] Univ Paul Valery Montpellier 3, EPSYLON EA 4556, Montpellier, France
来源
ANNEE PSYCHOLOGIQUE | 2022年 / 122卷 / 01期
关键词
latent class analysis; latent profile analysis; cluster; finite mixture models; AUXILIARY VARIABLES; MODEL;
D O I
10.3917/anpsy1.221.0185
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Latent profile/class analysis is a statistical method used to identify homogeneous subgroups within a heterogeneous population. These subgroups are called latent classes/profiles because they are not directly observable but are inferred from measured indicators. Although this method is not really recent, it is currently experiencing renewed interest. The purpose of this article is to provide psychological researchers with the theoretical and statistical bases that we believe will facilitate its practical implementation. Indeed, concrete examples will not only help to illustrate this method, but also to familiarize with some R packages necessary for its use.
引用
收藏
页码:185 / 222
页数:38
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