The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
In your face: facial metrics predict aggressive behaviour in the laboratory and in varsity and professional hockey players
Open accessAbstract
Facial characteristics are an important basis for judgements about gender, emotion, personality, motivational states and behavioural dispositions. Based on a recent finding of a sexual dimorphism in facial metrics that is independent of body size, we conducted three studies to examine the extent to which individual differences in the facial width-to-height ratio were associated with trait dominance (using a questionnaire) and aggression during a behavioural task and in a naturalistic setting (varsity and professional ice hockey). In study 1, men had a larger facial width-to-height ratio, higher scores of trait dominance, and were more reactively aggressive compared with women. Individual differences in the facial width-to-height ratio predicted reactive aggression in men, but not in women (predicted 15% of variance). In studies 2 (male varsity hockey players) and 3 (male professional hockey players), individual differences in the facial width-to-height ratio were positively related to aggressive behaviour as measured by the number of penalty minutes per game obtained over a season (predicted 29 and 9% of the variance, respectively). Together, these findings suggest that the sexually dimorphic facial width-to-height ratio may be an ‘honest signal’ of propensity for aggressive behaviour.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The international personality item pool and the future of public-domain personality measures
Goldberg, L. R., Johnson, J. A., Eber, H. W., Hogan, R., Ashton, M. C., Cloninger, C. R., & Gough, H. G. (2006) · Journal of Research in Personality · doi:10.1016/j.jrp.2005.08.007 · Cited by 3,185
Parasites, Bright Males, and the Immunocompetence Handicap
Folstad, I., & Karter, A. J. (1992) · The American Naturalist · doi:10.1086/285346 · Cited by 2,799
First Impressions: Making Up Your Mind After a 100-Ms Exposure to a Face
Willis, J., & Todorov, A. (2006) · Psychological Science · doi:10.1111/j.1467-9280.2006.01750.x · Cited by 2,300
Inferences of competence from faces predict election outcomes
Todorov, A., Mandisodza, A. N., Goren, A., & Hall, C. C. (2005) · Science · doi:10.1126/science.1110589 · Cited by 1,508
Pubertal hormones organize the adolescent brain and behavior
Sisk, C. L., & Zehr, J. L. (2005) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2005.10.003 · Cited by 1,082
Bar, M., Neta, M., & Linz, H. (2006) · Emotion · doi:10.1037/1528-3542.6.2.269 · Cited by 693
Cited by
The Chicago face database: a free stimulus set of faces and norming data
Ma, D. S., Correll, J., & Wittenbrink, B. (2015) · Behavior Research Methods · doi:10.3758/s13428-014-0532-5 · Cited by 1,788
Human adaptations for the visual assessment of strength and fighting ability from the body and face
Sell, A., Cosmides, L., Tooby, J., Sznycer, D., von Rueden, C., & Gurven, M. (2009) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2008.1177 · Cited by 631
Does sexual selection explain human sex differences in aggression?
Archer, J. (2009) · Behavioral and Brain Sciences · doi:10.1017/s0140525x09990951 · Cited by 607
Facial Structure Is a Reliable Cue of Aggressive Behavior
Carré, J. M., McCormick, C. M., & Mondloch, C. J. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02423.x · Cited by 438
Self-citationTelling facial metrics: facial width is associated with testosterone levels in men
Lefevre, C. E., Lewis, G. J., Perrett, D. I., & Penke, L. (2013) · Evolution and Human Behavior · doi:10.1016/j.evolhumbehav.2013.03.005 · Cited by 293
Metadata
- Authors
- Carré, J. M., & McCormick, C. M.
- Venue
- Proceedings of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2008-08-19
- Volume
- 275
- Issue
- 1651
- Pages
- 2651-2656
- ISSN
- 0080-4649 (ISSN-L)
- 0962-8452
- 1471-2954
- OpenAlex
- W2047970504
- Cited by
- 458
- References
- 6
- FWCI
- 14.77
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: In your face: facial metrics predict aggressive behaviour in the laboratory and in varsity and professional hockey players. https://app.cochat.ai/papers/10.1098/rspb.2008.0873
- The paper
- Carré, J. M., & McCormick, C. M. (2008). In your face: facial metrics predict aggressive behaviour in the laboratory and in varsity and professional hockey players. Proceedings of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rspb.2008.0873
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.