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

Thielmann, Isabel; Akrami, Nazar; Babarović, Toni; Belloch, Amparo; Bergh, Robin; Chirumbolo, Antonio; Čolović, Petar; Vries, Reinout E. de; Dostál, Daniel; Егорова, Марина; Gnisci, Augusto; Heydasch, Timo; Hilbig, Benjamin E.; Hsu, Keh‐Ying; Izdebski, Paweł; Leone, Luigi; Marcus, Bernd; Međedović, Janko; Nagy, János; Паршикова, Оксана; Perugini, Marco; Petrović, Boban; Romero, Estrella; Sergi, Ida; Shin, kang Hyun; Smederevac, Snežana; Šverko, Iva; Szarota, Piotr; Szirmák, Zsófia; Tatar, Arkun; Wakabayashi, Akio; Wasti, S. Arzu; Záškodná, Tereza; Zettler, Ingo; Ashton, Michael C.; Lee, Kibeom

doi:10.1080/00223891.2019.1614011

Cited by 58 publications

(65 citation statements)

References 83 publications

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“…The lack of scalar MI is a common problem in cross‐cultural personality studies (see Table 1) that renders mean value comparisons potentially biased (e.g., Church et al, 2011; Nye et al, 2008; Thielmann et al, 2019). Even if one theoretically assumes that personality is universal across cultures, this does not imply that a given measure must be empirically invariant across cultures.…”

Section: Discussionmentioning

confidence: 99%

“…More recent studies have begun to test this assumption of cross‐cultural measurement invariance (MI) in a more thorough, confirmatory way. They have concluded that none of the most common personality measures achieve scalar cross‐cultural invariance (Church et al, 2011; Nye, Roberts, Saucier, & Zhou, 2008; Thielmann et al, 2019). Scalar MI refers to the same assignment of items to factors with equal item loadings and intercepts across cultural groups.…”

Section: Cross‐cultural Studies Of Personality Differencesmentioning

confidence: 99%

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Compiling Measurement Invariant Short Scales in Cross–Cultural Personality Assessment Using Ant Colony Optimization

2020

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Examining the influence of culture on personality and its unbiased assessment is the main subject of cross‐cultural personality research. Recent large‐scale studies exploring personality differences across cultures share substantial methodological and psychometric shortcomings that render it difficult to differentiate between method and trait variance. One prominent example is the implicit assumption of cross‐cultural measurement invariance in personality questionnaires. In the rare instances where measurement invariance across cultures was tested, scalar measurement invariance—which is required for unbiased mean‐level comparisons of personality traits—did not hold. In this article, we present an item sampling procedure, ant colony optimization, which can be used to select item sets that satisfy multiple psychometric requirements including model fit, reliability, and measurement invariance. We constructed short scales of the IPIP‐NEO‐300 for a group of countries that are culturally similar (USA, Australia, Canada, and UK) as well as a group of countries with distinct cultures (USA, India, Singapore, and Sweden). In addition to examining factor mean differences across countries, we provide recommendations for cross‐cultural research in general. From a methodological perspective, we demonstrate ant colony optimization's versatility and flexibility as an item sampling procedure to derive measurement invariant scales for cross‐cultural research. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology

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Section: Discussionmentioning

confidence: 99%

Section: Cross‐cultural Studies Of Personality Differencesmentioning

confidence: 99%

Compiling Measurement Invariant Short Scales in Cross–Cultural Personality Assessment Using Ant Colony Optimization

2020

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“…Although different aversive personality traits have been studied both independently and jointly with regard to risk-taking [42,75], the present study is the first to test whether D, the common core of aversive traits [48], is systematically associated with risk-taking. Specifically, D was linked to domain-specific risk-taking [63,64], fearlessness [65], sensation seeking [66,67], drug use [68], and behavioral risk-taking (BRET) [73].…”

Section: Discussionmentioning

confidence: 99%

“…We assessed fearlessness via the 8-item fearfulness facet scale, belonging to the Emotionality domain, of the HEXACO-100 [65]. Sample items include "When it comes to physical pain, I am a tough person.…”

Section: Methodsmentioning

confidence: 99%

“…The same risk-taking measures were administered as in Study 1, with the exception that we did not assess drug use given its low internal consistency estimate in Study 1. That is, we administered 12 items from the DOSPERT scale [63] assessing financial (herein, Cronbach's α = 0.78), health-related (Cronbach's α = 0.57), and recreational risk-taking (Cronbach's α = 0.79), the 8-item fearfulness subscale (Cronbach's α = 0.85) from the HEXACO-100 [65], and the Arnett Inventory of Sensation Seeking (AISS) [67]. This time, we administered all 12 items from the AISS, i.e., 5 items in the novelty subscale (Cronbach's α = 0.63) and 7 items in the intensity subscale (Cronbach's α = 0.50).…”

Section: Methodsmentioning

confidence: 99%

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The Dark Factor of Personality and Risk-Taking

Tiwari

Moshagen²,

Hilbig

et al. 2021

IJERPH

Self Cite

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Aversive personality traits have been linked to risk-taking across various domains. Herein, we investigated whether the common core of aversive traits, the Dark Factor of Personality (D), is related to risk-taking. Whereas the conceptualizations of D (common core of aversive traits) and risk-taking (not inherently socially and/or ethically aversive) do not necessarily imply an association, several theoretical considerations do suggest a positive relation between the constructs. In three studies (overall n = 689), we linked D to various self-report measures of risk-taking (Studies 1 and 2), as well as to a behavioral risk-taking task (Study 3). Overall, D was positively (although not always statistically significantly) related to self-reported risk-taking in terms of financial, health-related, and recreational risk-taking, fearlessness, novelty sensation seeking, intensity sensation seeking, and drug use. However, we did not find an association between D and behavioral risk-taking. Our findings provide insights into the relation between aversive personality and risk-taking, but also point to inconsistencies depending on the specific nature of risk-taking studied.

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School staff's views on causes of early school leaving in regular secondary and adult education: Identifying the role of individual, job‐related and school climate characteristics

De Coninck,

Clycq,

Van Praag

2023

British Educational Res J

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Understanding early school leaving (ESL) remains a key issue on political and academic agendas. Most research focuses on the experiences of young people who intend to leave or have left school early without a qualification from secondary education. In addition, most studies focus on regular secondary schools. We aim to add to this literature by studying how school staff in regular secondary and adult education schools explain ESL, and to understand how both groups' views differ. We also study whether school climate has an effect on the explanations of ESL given by staff. We analysed survey data collected in Flanders (northern part of Belgium) among 780 staff members using exploratory factor analysis and multilevel modelling. Findings indicate that staff in adult education have moderate views on the causes of ESL compared to staff in regular education. Staff in adult education have a strong focus on student‐focused explanations for ESL, rather than on contextual or systemic explanations. Future research could delve deeper into the impact of school characteristics, conduct more cross‐comparative research and/or include more views on diversity. Policymakers could prioritise the follow‐up of ESL, including feedback mechanisms to inform school staff on reasons why individual students decided to leave school early.

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

Cited by 58 publications

References 83 publications

Compiling Measurement Invariant Short Scales in Cross–Cultural Personality Assessment Using Ant Colony Optimization

Compiling Measurement Invariant Short Scales in Cross–Cultural Personality Assessment Using Ant Colony Optimization

The Dark Factor of Personality and Risk-Taking

School staff's views on causes of early school leaving in regular secondary and adult education: Identifying the role of individual, job‐related and school climate characteristics

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