Which is better in fat times and in lean times: the Macho Man vs. the Nice Guy? Priming effects on Polish and Norwegian students' mate preferences
Natasza Kosakowska-Berezecka , Tomasz Besta
AbstractGender stereotypes serve as psychological tools that justify and maintain social inequality and reinforce the widely recognized status quo. Agency and anti-femininity are two widely prescribed qualities for men across cultures, leading them to refrain from engaging in household duties and parental roles (also referred to as communal roles). Several studies have documented backlash against men who engage in communal roles, but little attention has been given to the cultural and contextual cues influencing the perceptions of men who violate gender-norm prescriptions. Our study was conducted in two countries differing with regard to gender equality indices relating to extent to which men are allowed to manifest gender atypical behavior and influencing mate preferences of women. Polish (N=106) and Norwegian (N=77) female students were first presented with information which either a) threatened the stability of their country or b) highlighted the prosperity of their country. The participants were then asked to rate their romantic interest in the dating profiles of agentic (gender typical) and communal (gender atypical) men. Polish women who were provided with system-prosperity information found communal men to be more attractive than agentic men. This effect was not observed in the Norwegian sample; however, when provided with system-threat information, Norwegian students preferred agentic men over communal ones. Our results indicate that there exist certain contextual cues that might change perceptions of gender typical and gender atypical behavior.
|Journal series||Current Psychology, ISSN 1046-1310, (A 20 pkt)|
|Keywords in English||social change, social judgements of gender atypical behaviour, backlash|
|License||Other; published final; ; with publication|
|Score||= 20.0, 24-07-2019, ArticleFromJournal|
|Publication indicators||= 0; : 2017 = 0.736; : 2017 = 1.28 (2) - 2017=1.165 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.