The HEXACO-100 Across 16 Languages: A Large-Scale Test of Measurement Invariance

被引:55
作者
Thielmann, Isabel [1 ]
Akrami, Nazar [2 ]
Babarovic, Toni [3 ]
Belloch, Amparo [4 ]
Bergh, Robin [5 ]
Chirumbolo, Antonio [6 ]
Colovic, Petar [7 ]
de Vries, Reinout E. [8 ,9 ]
Dostal, Daniel [10 ]
Egorova, Marina [11 ]
Gnisci, Augusto [12 ]
Heydasch, Timo [13 ]
Hilbig, Benjamin E. [1 ]
Hsu, Kung-Yu [14 ]
Izdebski, Pawel [15 ]
Leone, Luigi [16 ]
Marcus, Bernd [17 ]
Mededovic, Janko [18 ]
Nagy, Janos [19 ]
Parshikova, Oksana [11 ]
Perugini, Marco [20 ]
Petrovic, Boban [18 ]
Romero, Estrella [21 ]
Sergi, Ida [12 ]
Shin, Kang-Hyun [22 ]
Smederevac, Snezana [7 ]
Sverko, Iva [3 ]
Szarota, Piotr [23 ]
Szirmak, Zsofia [24 ]
Tatar, Arkun [25 ]
Wakabayashi, Akio [26 ]
Wasti, S. Arzu [27 ]
Zaskodna, Tereza [10 ]
Zettler, Ingo [28 ]
Ashton, Michael C. [29 ]
Lee, Kibeom [30 ]
机构
[1] Univ Koblenz Landau, Dept Psychol, Fortstr 7, D-76829 Landau, Germany
[2] Uppsala Univ, Dept Psychol, Uppsala, Sweden
[3] Ivo Pilar Inst Social Sci, Zagreb, Croatia
[4] Univ Valencia, Dept Personal Evaluat & Psychol Treatments, Valencia, Spain
[5] Harvard Univ, Cambridge, MA 02138 USA
[6] Sapienza Univ Rome, Dept Psychol, Rome, Italy
[7] Univ Novi Sad, Fac Philosophy, Dept Psychol, Novi Sad, Serbia
[8] Vrije Univ Amsterdam, Dept Expt & Appl Psychol, Amsterdam, Netherlands
[9] Univ Twente, Dept Educ Sci, Enschede, Netherlands
[10] Palacky Univ Olomouc, Olomouc, Czech Republic
[11] Lomonosov Moscow State Univ, Moscow, Russia
[12] Univ Campania Luigi Vanvitelli, Dept Psychol, Caserta, Italy
[13] Univ Hagen, Dept Work & Org Psychol, Hagen, Germany
[14] Natl Chung Cheng Univ, Dept Psychol, Minxiong, Chiayi, Taiwan
[15] Kazimierz Wielki Univ, Inst Psychol, Dept Gen & Hlth Psychol, Bydgoszcz, Poland
[16] Sapienza Univ Rome, Dept Social & Dev Psychol, Rome, Italy
[17] Univ Rostock, Dept Business Adm, Rostock, Germany
[18] Inst Criminol & Sociol Res, Belgrad, Serbia
[19] Eotvos Lorand Univ, Budapest, Hungary
[20] Univ Milano Bicocca, Milan, Italy
[21] Univ Santiago de Compostela, Santiago De Compostela, Spain
[22] Ajou Univ, Suwon, South Korea
[23] Polish Acad Sci, Inst Psychol, Warsaw, Poland
[24] Independent Practice, Berlin, Germany
[25] Fatih Sultan Mehmet Univ, Istanbul, Turkey
[26] Chiba Univ, Inage Ku, Chiba, Japan
[27] Sabanci Univ, Istanbul, Turkey
[28] Univ Copenhagen, Copenhagen, Denmark
[29] Brock Univ, Dept Psychol, St Catharines, ON, Canada
[30] Univ Calgary, Dept Psychol, Calgary, AB, Canada
关键词
COVARIANCE STRUCTURE-ANALYSIS; OF-FIT INDEXES; PSYCHOMETRIC PROPERTIES; PERSONALITY-INVENTORY; BIG; 5; HONESTY-HUMILITY; DECISION-MAKING; MODEL; PREDICTION; TRAITS;
D O I
10.1080/00223891.2019.1614011
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
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.
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页码:714 / 726
页数:13
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