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Related Experiment Videos

Coder gender and potential for hostility ratings

K Davidson1, M W MacGregor, D R MacLean

  • 1Department of Psychology, Dalhousie University, Halifax, Nova Scotia, Canada. kdavids@gp.as.ua.edu

Health Psychology : Official Journal of the Division of Health Psychology, American Psychological Association
|July 1, 1996
PubMed
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Coder gender significantly impacts Potential for Hostility ratings. Female coders rated participants lower than male coders, highlighting the need to consider coder demographics in future research.

Area of Science:

  • Psychology
  • Social Psychology
  • Gender Studies

Background:

  • The Potential for Hostility (PFH) scale is used to assess aggressive tendencies.
  • Previous research has not extensively explored the influence of coder characteristics on PFH ratings.

Purpose of the Study:

  • To investigate whether the gender of the coder influences ratings of Potential for Hostility.
  • To determine the extent to which coder gender accounts for variance in PFH scores.

Main Methods:

  • Six trained coders (3 male, 3 female) independently rated 60 undergraduates (30 male, 30 female) on the Potential for Hostility scale.
  • Coders were blind to the study's hypothesis regarding coder gender effects.
  • Cronbach's alpha was used to assess inter-coder reliability, and ANOVA was employed to analyze the effect of coder gender.

Related Experiment Videos

Main Results:

  • Inter-coder reliability was high, indicating consistent coding across all participants.
  • A significant main effect for coder gender was found: female coders assigned lower PFH ratings than male coders.
  • Coder gender explained a substantial 32% of the variance in Potential for Hostility scores.

Conclusions:

  • The gender of the coder is a significant factor influencing Potential for Hostility ratings.
  • Future research utilizing the PFH scale should account for coder gender to ensure objective and reliable findings.
  • These findings underscore the importance of considering demographic variables in observational research and psychological assessments.