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https://doi.org/10.31234/osf.i...
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
Evolutionary Behavioral Sciences
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Competitive scenarios increase competition in women: A meta-analysis.

Authors: Jessica Daphne Ayers;

Competitive scenarios increase competition in women: A meta-analysis.

Abstract

Until recently, few researchers have closely investigated women’s intrasexual competition. A meta-analysis of 14 published studies with 61 effect sizes (N = 2,100) assessed the size of the effect of women’s competition. I hypothesized that 1) exposure to competitive situations would cause women to behave more competitively than women not exposed to these situations and 2) age, domain of competition, and confidence in effect size coding would not moderate this effect. Results from the random effects meta-analysis indicated that women responded more competitively when shown high competition scenarios, r = 0.23, p < 0.001, 95% CI [.16, .31]. Additionally, age, domain of competition, and confidence in effect size coding did not moderate the effects of competition. Results suggest that there are small to medium-sized increases in women’s competition when primed with competition, but more studies are needed to fully understand women’s competition across domains.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
hybrid
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