000			01544cam a2200277 4500500
005			20250112022749.0
041			_afre
042			_adc
100	1	0	_aGana, Kamel _eauthor
700	1	0	_a Caumeil, Benjamin _eauthor
700	1	0	_a Broc, Guillaume _eauthor
245	0	0	_aLatent class and latent profile analyses in psychology: Basic principles and applications
260			_c2022.
500			_a83
520			_aLatent 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.
690			_alatent class analysis
690			_afinite mixture models
690			_alatent profile analysis
690			_acluster
690			_alatent class analysis
690			_afinite mixture models
690			_alatent profile analysis
690			_acluster
786	0		_nL’Année psychologique | 122 | 1 | 2022-02-02 | p. 185-222 | 0003-5033
856	4	1	_uhttps://shs.cairn.info/journal-l-annee-psychologique-2022-1-page-185?lang=en
999			_c140349 _d140349