Exploring the stability of HEXACO-60 structure and the association of gender, age, and social position with personality traits across 18 countries.

OBJECTIVES: The present paper tests the cross-national stability of the HEXACO-60 structure across 18 countries from four continents. Gender and age differences across countries will be examined. Finally, this is the first study to explicitly analyze the relationships between the HEXACO and social position. METHOD: Ten thousand two hundred and ninety eight subjects (5,410 women and 4,888 men) from 18 countries and 13 languages were analyzed. Confirmatory factor analysis techniques were used to test configural, metric and scalar invariance models. Congruence coefficients with the original structure of the HEXACO-60 were computed for every culture. Effect sizes of gender, age, and social position factors across countries were also computed. RESULTS: HEXACO-60 demonstrates configural and metric invariance, but not scalar invariance. Congruence coefficients show a great equivalence in almost all countries and factors. Only Emotionality presents a large gender difference across countries. No relevant effect of age is observed. A profile of high scores on Honesty-Humility, Extraversion, Conscientiousness, and Openness to Experience, and low scores on Emotionality increases the likelihood of achieving a higher social position, although the effect sizes are small. CONCLUSIONS: HEXACO-60 is a useful instrument to conduct personality trait research and practice around the world. Implications of gender, social position, and country differences are discussed.

A confirmatory examination of age-associated personality differences: Deriving age-related measurement-invariant solutions using ant colony optimization.

OBJECTIVE: The goal of this study was to examine age-associated personality differences using a measurement-invariant representation of the higher-order structure of the Five-Factor Model. METHOD: We reanalyzed the German NEO-PI-R norm sample (N = 11,724) and applied ant colony optimization in a multigroup confirmatory factor analysis setting in order to select three items per first-order factor that would optimize model fit and measurement invariance across 18 age groups ranging from 16 to 65 years of age. RESULTS: Ant colony optimization substantially improved absolute and relative model fit under measurement invariance constraints. However, the results showed that even when selecting items, measurement invariance across a large age span could not be guaranteed. Strong measurement invariance for Extraversion and Agreeableness could not be established. The age-associated mean-level differences of the first-order factors of Neuroticism and Conscientiousness supported the maturity hypothesis. The mean levels of the first-order factors of Openness varied substantially from each other across age. CONCLUSIONS: Findings on age differences in personality can be particularly distorted in older age groups. Testing for and ensuring measurement invariance with item selection procedures can help solve this problem. The higher-order structure of personality should be accounted for when personality development is examined.

Multicultural Validation of the Zuckerman-Kuhlman-Aluja Personality Questionnaire Shortened Form (ZKA-PQ/SF) Across 18 Countries.

The aim of this study was to assess the psychometric properties of the Zuckerman-Kuhlman-Aluja Personality Questionnaire shortened form (ZKA-PQ/SF) in 18 cultures and 13 languages of different African, American, Asian, and European cultures and languages. The results showed that the five-factor structure with 20 facets replicated well across cultures with a total congruence coefficient of .97. A confirmatory factor analysis (CFA) resulted in adequate fit indices for the five factors based on the comparative fit index (CFI), Tucker-Lewis index (TLI; >.90), and RMSEA (.031-.081). A series of CFA to assess measurement invariance across cultures resulted in adequate CFIs and TLIs for configural and metric invariance. However, factors did not show scalar invariance. Alpha internal consistencies of five factors ranged between .77 (Sensation Seeking) and .86 (Neuroticism). The average alpha of the 20 facets was .64 with a range from .43 (SS4) to .75 (AG1). Nevertheless, alpha reliabilities were lower in some facets and cultures, especially for Senegal and Togo. The average percentage of the variance explained based on the adjusted R2 was 2.9%, 1.7%, and 5.1% for age, sex, and, cultures, respectively. Finally, multidimensional scaling suggested that geographically or culturally close cultures share mean profile similarities.

Is the genetic structure of human personality universal? A cross-cultural twin study from North America, Europe, and Asia.

This study examined whether universality of the 5-factor model (FFM) of personality operationalized by the Revised NEO Personality Inventory is due to genetic influences that are invariant across diverse nations. Factor analyses were conducted on matrices of phenotypic, genetic, and environmental correlations estimated in a sample of 1,209 monozygotic and 701 dizygotic twin pairs from Canada, Germany, and Japan. Five genetic and environmental factors were extracted for each sample. High congruence coefficients were observed when phenotypic, genetic, and environmental factors were compared in each sample as well as when each factor was compared across samples. These results suggest that the FFM has a solid biological basis and may represent a common heritage of the human species.

Only three factors of personality description are fully replicable across languages: a comparison of 14 trait taxonomies.

We tested the hypothesis that only 3 factors of personality description are replicable across many different languages if they are independently derived by a psycholexical approach. Our test was based on 14 trait taxonomies from 12 different languages. Factors were compared at each level of factor extraction with solutions with 1 to 6 factors. The 294 factors in the comparisons were identified using sets of markers of the 6-factor model by correlating the marker scales with the factors. The factor structures were pairwise compared in each case on the basis of the common variables that define the 2 sets of factors. Congruence coefficients were calculated between the varimax rotated structures after Procrustes rotation, where each structure in turn served as a target to which all other structures were rotated. On the basis of average congruence coefficients of all 91 comparisons, we conclude that factor solutions with 3 factors on average are replicable across languages; solutions with more factors are not.