2023
DOI: 10.1038/s41598-023-39912-x
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The importance of face-shape masculinity for perceptions of male dominance depends on study design

Abstract: Dominance perceptions play an important role in social interactions. Although many researchers have proposed that shape masculinity is an important facial cue for dominance perceptions, evidence for this claim has come almost exclusively from studies that assessed perceptions of experimentally manipulated faces using forced-choice paradigms. Consequently, we investigated the role of masculine shape characteristics in perceptions of men’s facial dominance (1) when shape-manipulated stimuli were presented in a f… Show more

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Cited by 5 publications
(13 citation statements)
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“…For instance, when comparing the two-alternative forced-choice method to subjective ratings of attractiveness and objective measurements of facial shape characteristics, differences in outcomes have been observed (Jones & Jaeger, 2019 ; Lee et al, 2021 ; Scott et al, 2010 ). In a more recent study by Dong et al ( 2023 ), questions were raised about the predictive value of masculine shape characteristics and their role in determining dominance, as different perceptions of dominance were obtained based on the methodological approach used to assess shape-manipulated images.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, when comparing the two-alternative forced-choice method to subjective ratings of attractiveness and objective measurements of facial shape characteristics, differences in outcomes have been observed (Jones & Jaeger, 2019 ; Lee et al, 2021 ; Scott et al, 2010 ). In a more recent study by Dong et al ( 2023 ), questions were raised about the predictive value of masculine shape characteristics and their role in determining dominance, as different perceptions of dominance were obtained based on the methodological approach used to assess shape-manipulated images.…”
Section: Discussionmentioning
confidence: 99%
“…Sexual dimorphism of face shape was objectively measured for each of the 50 male and 50 female face images using the facefuns package 39 in R 25 . This method that has been used in many previous studies to assess sexual dimorphism of face shape [e.g., 9 , 15 , 22 24 ]. Shape components were first derived from Principal Component Analysis (PCA) of 132 Procrustes-aligned landmark points (see Holzleitner et al 23 for a diagram showing these facial landmarks) on each of the 50 male and 50 female face images.…”
Section: Methodsmentioning
confidence: 99%
“…Shape components were first derived from Principal Component Analysis (PCA) of 132 Procrustes-aligned landmark points (see Holzleitner et al 23 for a diagram showing these facial landmarks) on each of the 50 male and 50 female face images. Scores representing sexual dimorphism of face shape were then calculated from each photograph using a vector analysis method [e.g., 9 , 15 , 22 24 ]. This method uses the shape principal components to locate each face on a female-male continuum.…”
Section: Methodsmentioning
confidence: 99%
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