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Lisa M. DeBruine

Researcher at University of Glasgow

Publications -  278
Citations -  13206

Lisa M. DeBruine is an academic researcher from University of Glasgow. The author has contributed to research in topics: Attractiveness & Masculinity. The author has an hindex of 59, co-authored 270 publications receiving 11633 citations. Previous affiliations of Lisa M. DeBruine include University of Aberdeen & McMaster University.

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Facial attractiveness: evolutionary based research.

TL;DR: The research relating to these issues highlights flexible, sophisticated systems that support and promote adaptive responses to faces that appear to function to maximize the benefits of both the authors' mate choices and more general decisions about other types of social partners.
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Facial resemblance enhances trust

TL;DR: The effects of an experimental manipulation of facial resemblance in a two–person sequential trust game raised the incidence of trusting a partner, but had no effect on the incidenceOf selfish betrayals of the partner's trust.
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Menstrual cycle, trait estrogen level, and masculinity preferences in the human voice.

TL;DR: It was found women displayed general masculinity preferences for men's voices; masculinity preferences were greater in the fertile (late-follicular) phase of the cycle than the non-fertile (early- follicular and luteal) phase; and this effect was most pronounced for women with low average E3G concentration.
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Justify your alpha

Daniel Lakens, +98 more
TL;DR: In response to recommendations to redefine statistical significance to P ≤ 0.005, it is proposed that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.
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Trustworthy but not lust-worthy: context-specific effects of facial resemblance

TL;DR: It is shown that subtly manipulated images of other-sex faces were judged as more trustworthy by the participants they were made to resemble than by control participants, suggesting that facial resemblance is a kinship cue to which humans modulate responses in a context-sensitive manner.