Synonyms
Janet Hyde (2005); Janet Hyde (2014); Janet Hyde (1984)
Definition
An early meta-analysis showing that gender differences in aggressive behavior are moderate in size but persistent, yet decreasing in magnitude, over the life span.
Introduction
Are men and boys more aggressive than women and girls? Janet Hyde (1986) conducted the first modern meta-analysis concerning this question. Meta-analysis is a quantitative statistical technique in which a researcher seeks to compute an estimate of an effect size. The effect size that Hyde (1986) sought to quantify was the magnitude of the gender difference in aggression, including physical aggression and verbal aggression. The effect size that Hyde used was Cohen’s d, a standardized effect size. A standardized effect size is a ratio of the magnitude of the difference between groups, relative to how much individuals within a group vary from one another. Positive effect size estimates indicate that men and boys have higher levels of...
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References
Archer, J. (2004). Sex differences in aggression in real-world settings: A meta-analytic review. Review of General Psychology, 8, 291–322.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: Erlbaum.
Hyde, J. S. (1984). How large are gender differences in aggression? A developmental meta-analysis. Developmental Psychology, 20, 722–736.
Hyde, J. S. (1986). Gender differences in aggression. In J. S. Hyde & M. C. Linn (Eds.), The psychology of gender: Advances through meta-analysis (pp. 51–66). Baltimore: The Johns Hopkins University Press.
Hyde, J. S. (2005). The gender similarities hypothesis. American Psychologist, 60, 581–592.
Hyde, J. S. (2014). Gender similarities and differences. Annual Review of Psychology, 65, 373–398.
Maccoby, E. E., & Jacklin, C. N. (1974). The psychology of sex differences. Stanford: Stanford University Press.
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Corker, K.S. (2016). Janet Hyde (1986). In: Weekes-Shackelford, V., Shackelford, T., Weekes-Shackelford, V. (eds) Encyclopedia of Evolutionary Psychological Science. Springer, Cham. https://doi.org/10.1007/978-3-319-16999-6_847-1
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DOI: https://doi.org/10.1007/978-3-319-16999-6_847-1
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