Article (Scientific journals)
Cross-country analysis of alternative five factor personality trait profiles
Kövi, Zsuzsanna; Aluja, Anton; Glicksohn, Joseph et al.
2019In Personality and Individual Differences, 143, p. 7 - 12
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Keywords :
Alternative five factor model; Personality types; cross-country
Abstract :
[en] The aim of our study was to examine the typical personality profiles of the Alternative Five Factor Model with its new factor-facet version questionnaire (Zuckerman-Kuhlman-Aluja Personality Questionnaire, 2010) on a large, cross-country database. The total sample of this study included 15,529 participants from 23 sub-samples from 22 countries and with 16 different languages. The sample consisted of university students and staff members. We applied model-based clustering both separately on each sample and on the total sample. Agreement between country-specific and total sample clustering was similar for the three-, four- and five-cluster solutions with Cohen's kappa coefficients ranging from 0.59 to 0.60. The optimal cluster number based on BIC values increased with sample size, but the most common one was five with the following typical profiles: overcontrolled, resilient, undercontrolled, reserved, and ordinary.
Disciplines :
Social & behavioral sciences, psychology: Multidisciplinary, general & others
Author, co-author :
Kövi, Zsuzsanna
Aluja, Anton
Glicksohn, Joseph
Blanch, Angel
Morizot, Julien
Wang, Wei
Barry, Oumar
Hansenne, Michel  ;  Université de Liège - ULiège > Département de Psychologie > Psycho. de la personnalité et des différences individuelles
Carvalho, André
Valdivia, Mauricio
Desrichard, Olivier
Hyphantis, Thomas
Rossier, Jérôme
Pascalis, Vilfredo De
León-Mayer, Elizabeth
Piskunov, Aleksei
Stivers, Adam W.
Ostendorf, Fritz
Čekrlija, Đorđe
Bellaj, Tarek
Markiewicz, Dorota
Motevalian, Abbas
Karagonlar, Gokhan
More authors (13 more) Less
Language :
English
Title :
Cross-country analysis of alternative five factor personality trait profiles
Publication date :
2019
Journal title :
Personality and Individual Differences
ISSN :
0191-8869
eISSN :
1873-3549
Publisher :
Elsevier, United Kingdom
Volume :
143
Pages :
7 - 12
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 14 February 2019

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