Men and things, women and people: a meta-analysis of sex differences in interests.
By R. Su, J. Rounds, P. Armstrong. Psychological bulletin, 2009
1,133 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Safety Research, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/055587b3e20d3dc6a3e89b505398759e9de08092
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- S. Ceci
- David Lubinski
- Steve Stewart-Williams
- David C. Geary
- Jessica L Degol
- L. Halsey
- Ulrich Trautwein
- Benjamin Nagengast
In Safety Research
- Jessica L Degol
- Steve Stewart-Williams
- L. Halsey
- David C. Geary
- Gijsbert Stoet
- Ming-Te Wang
- David Lubinski
- Jenna Cambria
In Safety, Risk, Reliability and Quality
Citations in the corpus
- Understanding User Profiles on Social Media for Fake News Detection (2018, background): “For example, men and women generally differ markedly in their interests and work preferences [19].”
- Men, women and STEM: Why the differences and what should be done? (2020, background): “First, sex differences in occupational preferences have remained remarkably stable throughout the half-century or so that psychologists have measured them, even in the face of significant shifts in women’s social roles and place in society (Su et al., 2009).”
- Boys’ and girls’ educational choices in secondary education. The role of gender ideology (2016, background): “Research has shown that women value working with people and emphasise social and altruistic values in their ideal job, whereas men like to work with things and value economic wealth, prestige and status (Diekman et al. 2010; Su, Rounds, and Armstrong 2009).”
- Beyond the Threshold Hypothesis (2010, background): “This is precisely what would be anticipated from a gender difference in vocational interest in people versus things (Su et al., 2009).”
- Maximizing Gender Equality by Minimizing Course Choice Options? Effects of Obligatory Coursework in Math on Gender Differences in STEM (2017, methodology): “In our study, we focused on the realistic and investigative dimensions because they have been shown to be related to mathematically intensive STEM fields (Ackerman & Heggestad, 1997; Su et al., 2009).”