Literature DB >> 16762107

Gender differences in explicit and implicit risk attitudes: a socially facilitated phenomenon.

Richard Ronay1, Do-Yeong Kim.   

Abstract

The present study (a) examined the question of whether gender differences in hypothetical risk decisions might be socially facilitated by the presence of gender-homogenous groups and (b) investigated the conscious and non-conscious motivators of risk-taking through the application of both explicit and implicit measures of risk attitude. Using hypothetical choice dilemma items, no gender difference was found at an individual level; however, when placed in-groups, males expressed a stronger pro-risk position than females. While males self-reported a stronger pro-risk position than did females on two explicit measures of risk-attitude, no gender differences were found on two parallel implicit measures. However, a newly developed implicit measure of risk-attitude showed its utility in the form of convergent, predictive and incremental validity with respect to a behavioural outcome.

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Year:  2006        PMID: 16762107     DOI: 10.1348/014466605X66420

Source DB:  PubMed          Journal:  Br J Soc Psychol        ISSN: 0144-6665


  7 in total

1.  Gender Differences in Risk Aversion Among Chinese University Students.

Authors:  Desmond Lam
Journal:  J Gambl Stud       Date:  2015-12

2.  The widening gender gap in marijuana use prevalence in the U.S. during a period of economic change, 2002-2014.

Authors:  Hannah Carliner; Pia M Mauro; Qiana L Brown; Dvora Shmulewitz; Reanne Rahim-Juwel; Aaron L Sarvet; Melanie M Wall; Silvia S Martins; Geoffrey Carliner; Deborah S Hasin
Journal:  Drug Alcohol Depend       Date:  2016-11-11       Impact factor: 4.492

3.  Television, news media, social media and adolescents' and young adults' violations of the COVID-19 lockdown measures: A prototype willingness model.

Authors:  Ilse Vranken; Nausikaä Brimmel; Laura Vandenbosch; Jolien Trekels
Journal:  Telemat Inform       Date:  2022-04-13

4.  Capturing doping attitudes by self-report declarations and implicit assessment: a methodology study.

Authors:  Andrea Petróczi; Eugene V Aidman; Tamás Nepusz
Journal:  Subst Abuse Treat Prev Policy       Date:  2008-04-21

5.  Controlled versus automatic processes: which is dominant to safety? The moderating effect of inhibitory control.

Authors:  Yaoshan Xu; Yongjuan Li; Weidong Ding; Fan Lu
Journal:  PLoS One       Date:  2014-02-10       Impact factor: 3.240

6.  Delay discounting, risk-taking, and rejection sensitivity among individuals with Internet and Video Gaming Disorders.

Authors:  Aviv Weinstein; Hodaya Ben Abu; Ayelet Timor; Yaniv Mama
Journal:  J Behav Addict       Date:  2016-12-13       Impact factor: 6.756

7.  No Evidence for a Relationship Between Hair Testosterone Concentrations and 2D:4D Ratio or Risk Taking.

Authors:  Richard Ronay; Leander van der Meij; Janneke K Oostrom; Thomas V Pollet
Journal:  Front Behav Neurosci       Date:  2018-03-05       Impact factor: 3.558

  7 in total

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