Individual Over Group: A Scenario-Based Experiment on Gender Attribution of Misaction in China
Abstract
The attribution process lies at the core of social cognition, determining how the public interprets and responds to others’ behaviors. Its influence extends from everyday social interactions to policy formation and other broader domains. This study aims to explore whether gender-differentiated attribution tendencies exist among the public when evaluating the misbehavior of males and females within the Chinese social and cultural context. Specifically, the research examined whether errors were more often attributed to individual factors or to gender groups, and how demographic characteristics (age, gender, education level, and city tier) influenced these patterns. A total of 53 Chinese participants were recruited and asked to complete a behavior attribution questionnaire comprising five everyday scenarios. Participants were instructed to decide whether to attribute the same mistakes made by male and female characters to individual factors or to group factors. The results revealed a strong and consistent tendency to attribute errors to individuals rather than groups (mean = 0.08, standard deviation = 0.14) across all scenarios. No significant differences in attribution were found based on gender or demographic variables, contrary to the initial hypothesis. These findings suggest that gender-based attribution biases in society are diminishing, possibly reflecting the positive impact of gender equality education in China. Future research will focus on exploring implicit biases, as such biases may still persist beneath the surface
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