Universität zu Köln

Schmidt, Mikkel N. ORCID: 0000-0001-6927-8869, Seddig, Daniel, Davidov, Eldad ORCID: 0000-0002-3396-969X, Morup, Morten ORCID: 0000-0003-4985-4368, Albers, Kristoffer Jon, Bauer, Jan Michael and Gluckstad, Fumiko Kano (2021). Latent Profile Analysis of Human Values: What is the Optimal Number of Clusters? Methodology, 17 (2). S. 127 - 149. TRIER: PSYCHOPEN. ISSN 1614-2241

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Abstract

Latent Profile Analysis (LPA) is a method to extract homogeneous clusters characterized by a common response profile. Previous works employing LPA to human value segmentation tend to select a small number of moderately homogeneous clusters based on model selection criteria such as Akaike information criterion, Bayesian information criterion and Entropy. The question is whether a small number of clusters is all that can be gleaned from the data. While some studies have carefully compared different statistical model selection criteria, there is currently no established criteria to assess if an increased number of clusters generates meaningful theoretical insights. This article examines the content and meaningfulness of the clusters extracted using two algorithms: Variational Bayesian LPA and Maximum Likelihood LPA. For both methods, our results point towards eight as the optimal number of clusters for characterizing distinctive Schwartz value typologies that generate meaningful insights and predict several external variables.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Schmidt, Mikkel N. UNSPECIFIED orcid.org/0000-0001-6927-8869 UNSPECIFIED Seddig, Daniel UNSPECIFIED UNSPECIFIED UNSPECIFIED Davidov, Eldad UNSPECIFIED orcid.org/0000-0002-3396-969X UNSPECIFIED Morup, Morten UNSPECIFIED orcid.org/0000-0003-4985-4368 UNSPECIFIED Albers, Kristoffer Jon UNSPECIFIED UNSPECIFIED UNSPECIFIED Bauer, Jan Michael UNSPECIFIED UNSPECIFIED UNSPECIFIED Gluckstad, Fumiko Kano UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-586473
DOI:	10.5964/meth.5479
Journal or Publication Title:	Methodology
Volume:	17
Number:	2
Page Range:	S. 127 - 149
Date:	2021
Publisher:	PSYCHOPEN
Place of Publication:	TRIER
ISSN:	1614-2241
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language VALUE PRIORITIES; PERSONAL VALUES; CONSERVATION; ATTITUDES; BEHAVIOR; BELIEFS Multiple languages Social Sciences, Mathematical Methods; Psychology, Mathematical Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/58647