Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/1015
Title: | The HEXACO–100 Across 16 Languages: A Large-Scale Test of Measurement Invariance | Authors: | Thielmann I. Akrami N. Babarović T. Belloch A. Bergh R. Chirumbolo A. Čolović, Petar de Vries R. Dostál D. Egorova M. Gnisci A. Heydasch T. Hilbig B. Hsu K. Izdebski P. Leone L. Marcus B. Međedović J. Nagy J. Parshikova O. Perugini M. Petrović, Bojan Romero E. Sergi I. Shin K. Smederevac, Snežana Šverko I. Szarota P. Szirmák Z. Tatar A. Wakabayashi A. Wasti S. Záškodná T. Zettler I. Ashton M. Lee K. |
Issue Date: | 1-Jan-2019 | Journal: | Journal of Personality Assessment | Abstract: | © 2019, © 2019 Taylor & Francis Group, LLC. The HEXACO Personality Inventory–Revised (HEXACO–PI–R) has become one of the most heavily applied measurement tools for the assessment of basic personality traits. Correspondingly, the inventory has been translated to many languages for use in cross-cultural research. However, formal tests examining whether the different language versions of the HEXACO–PI–R provide equivalent measures of the 6 personality dimensions are missing. We provide a large-scale test of measurement invariance of the 100-item version of the HEXACO–PI–R across 16 languages spoken in European and Asian countries (N = 30,484). Multigroup exploratory structural equation modeling and confirmatory factor analyses revealed consistent support for configural and metric invariance, thus implying that the factor structure of the HEXACO dimensions as well as the meaning of the latent HEXACO factors is comparable across languages. However, analyses did not show overall support for scalar invariance; that is, equivalence of facet intercepts. A complementary alignment analysis supported this pattern, but also revealed substantial heterogeneity in the level of (non)invariance across facets and factors. Overall, results imply that the HEXACO–PI–R provides largely comparable measurement of the HEXACO dimensions, although the lack of scalar invariance highlights the necessity for future research clarifying the interpretation of mean-level trait differences across countries. | URI: | https://open.uns.ac.rs/handle/123456789/1015 | ISSN: | 00223891 | DOI: | 10.1080/00223891.2019.1614011 |
Appears in Collections: | Naučne i umetničke publikacije |
Show full item record
SCOPUSTM
Citations
34
checked on Jan 28, 2023
Page view(s)
94
checked on Jan 28, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.