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Gender Differences in Risk Assessment: Why do Women Take Fewer Risks than Men?
Abstract
Across many real-world domains, men engage in more risky behaviors than do women. To examine some of the beliefs and preferences that underlie this difference, 657 participants assessed their likelihood of engaging in various risky activities relating to four different domains (gambling, health, recreation, and social), and reported their perceptions of (1) probability of negative outcomes, (2) severity of potential negative outcomes, and (3) enjoyment expected from the risky activities. Women’s greater perceived likelihood of negative outcomes and lesser expectation of enjoyment partially mediated their lower propensity toward risky choices in gambling, recreation, and health domains. Perceptions of severity of potential outcomes was a partial mediator in the gambling and health domains. The genders did not differ in their propensity towards taking social risks. A fifth domain of activities associated with high potential payoffs and fixed minor costs was also assessed. In contrast to other domains, women reported being more likely to engage in behaviors in this domain. This gender difference was partially mediated by women’s more optimistic judgments of the probability of good outcomes and of outcomes being more intensely positive.
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More recent research suggests we need to consider what factors contribute to different human behaviours and the risks they are prepared to take when interacting with horses.
“More recent research suggests we need to consider what factors contribute to different human behaviours and the risks they are prepared to take when interacting with horses [17,31,32,33,34].”
From What People Really Think About Safety around Horses: The Relationship between Risk Perception, Values and Safety Behaviours (2020) · cites this paper as [33]
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Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Gender differences in risk taking: a meta-analysis
Byrnes, J. P., Miller, D. C., & Schafer, W. D. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.3.367 · Cited by 3,723
Stated expectations as functions of probability and desirability of outcomes
IRWIN, F. W. (1953) · Journal of Personality · doi:10.1111/j.1467-6494.1953.tb01775.x · Cited by 281
Age and Gender Differences in School-Age Children's Appraisals of Injury Risk
Hillier, L. M., & Morrongiello, B. A. (1998) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/23.4.229 · Cited by 177
Flagged first, then by citations
Research works printed but not linked: 26
- 10.1006/obhd.1994.1010 · DOI
- Slovic, 2002, Risk as analysis and risk as feelings: Some thoughts about affect, reason, risk, and rationality.
- Slovic, 2000, The Perception of Risk, 137
- 10.1002/(SICI)1099-0771(200001/03)13:1<1::AID-BDM333>3.0.CO;2-S · DOI
- Johnson, 2004, Beyond a trait view of risk-taking: A domain- specific scale measuring risk perceptions, expected benefits, and perceived-risk attitude in German-speaking populations., Polish Psychological Bulletin, 35, 153
- Trivers, 1972, Sexual selection and the descent of man, 136
- Baron, 2000, Thinking and Deciding
- 10.1037/h0021721 · DOI
- 10.1037/0022-3514.69.3.505 · DOI
- 10.1016/S0191-8869(96)00151-1 · DOI · Paper page
- Raykov, 2000, A first course in structural equation modeling
- 10.4054/DemRes.2005.13.17 · DOI
- Slovic, 1998, Environment, ethics and behavior: The psychology of environmental valuation and degradation, 277
- 10.1006/obhd.2000.2914 · DOI
- 10.1037/0033-2909.127.2.267 · DOI · Paper page
- Buss, 2003, Evolutionary psychology: The new science of the mind
- 10.1111/j.1539-6924.1994.tb00080.x · DOI · Paper page
- 10.1002/bdm.414 · DOI · Paper page
- 10.1111/j.1539-6924.1993.tb00014.x · DOI
- 10.2307/256844 · DOI
- Jervis, 1976, Perception and misperception in international politics
- 10.1037/0021-9010.61.3.359 · DOI
- Gurmankin Levy, 2005, How bad is a 10% chance of losing a toe?, Memory and Cognition, 33, 1399, 10.3758/BF03193372 · DOI
- 10.1287/mnsc.43.2.123 · DOI
- Weber, 1998, Decision science and technology: Reflections on the contributions of Ward Edwards, 53
- Sobel, 1982, Sociological methodology 1982, 290
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Steinberg, L. (2008) · Developmental Review · doi:10.1016/j.dr.2007.08.002 · Cited by 3,644
Does sexual selection explain human sex differences in aggression?
Archer, J. (2009) · Behavioral and Brain Sciences · doi:10.1017/s0140525x09990951 · Cited by 607
Xie, Z., Liu, K., Or, C., Chen, J., Yan, M., & Wang, H. (2020) · BMC Public Health · doi:10.1186/s12889-020-09274-4 · Cited by 184
What ChatGPT Tells Us about Gender: A Cautionary Tale about Performativity and Gender Biases in AI
Gross, N. (2023) · Social Sciences · doi:10.3390/socsci12080435 · Cited by 162
Amuta, A. O., Jacobs, W., Barry, A. E., Popoola, O. A., & Crosslin, K. (2016) · American Journal of Health Education · doi:10.1080/19325037.2016.1203836 · Cited by 22
Chapman, M., Thomas, M., & Thompson, K. (2020) · Animals · doi:10.3390/ani10122222 · Cited by 20
Durand, H., Bacon, S. L., Byrne, M., Farrell, K., Kenny, E., Lavoie, K. L., McGuire, B. E., McSharry, J., Meade, O., Mooney, R., et al. (2021) · HRB Open Research · doi:10.12688/hrbopenres.13237.1 · Cited by 9
The price of prosociality in pandemic times
Santamaría-García, H., Burgaleta, M., Legaz, A., Flichtentrei, D., Córdoba-Delgado, M., Molina-Paredes, J., Linares-Puerta, J., Montealegre-Gómez, J., Castelblanco, S., Schulte, M., et al. (2022) · Humanities and Social Sciences Communications · doi:10.1057/s41599-021-01022-2 · Cited by 7
Metadata
- Authors
- Harris, C. R., & Jenkins, M.
- Venue
- Judgment and Decision Making
- Publisher
- Cambridge University Press (CUP)
- Published
- 2006-07
- Volume
- 1
- Issue
- 1
- Pages
- 48-63
- ISSN
- 1930-2975
- Cited by
- 652
- References
- 4
- Language
- en
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