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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
Summary
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.
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.