Abstract:
Objectives The Dark Triad traits (i.e., narcissism, psychopathy, Machiavellianism) capture individual differences in aversive personality to complement work on other taxonomies, such as the Big Five traits. However, the literature on the Dark Triad traits relies mostly on samples from English-speaking (i.e., Westernized) countries. We broadened the scope of this literature by sampling from a wider array of countries. Method We drew on data from 49 countries (N = 11,723; 65.8% female;Age(Mean) = 21.53) to examine how an extensive net of country-level variables in economic status (e.g., Human Development Index), social relations (e.g., gender equality), political orientations (e.g., democracy), and cultural values (e.g., embeddedness) relate to country-level rates of the Dark Triad traits, as well as variance in the magnitude of sex differences in them. Results Narcissism was especially sensitive to country-level variables. Countries with more embedded and hierarchical cultural systems weremorenarcissistic. Also, sex differences in narcissism werelargerinmoredeveloped societies: Women were less likely to be narcissistic in developed (vs. less developed) countries. Conclusions We discuss the results based on evolutionary and social role models of personality and sex differences. That higher country-level narcissism was more common in less developed countries, whereas sex differences in narcissism were larger in more developed countries, is more consistent with evolutionary than social role models.
Description:
The Czech Academy of Sciences, Grant/Award Number: RVO 68081740; Grantova Agentura Ceske Republiky, Grant/Award Number: #15-11062S; John Templeton Foundation, Grant/Award Number: 51897; National Council of Technological and Scientific Development, Grant/Award Number: n/a; Swiss Government Excellence PhD Scholarship, Grant/Award Number: 2015.0639; Narodowe Centrum Nauki, Grant/Award Number: 2016/21/B/HS6/01069; Russian Academic Excellence, Grant/Award Number: 5-100; Polish National Agency for Academic Exchange, Grant/Award Number: PPN/ULM/2019/1/00019/U/00001
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