Abstract
This research examined how people explain major outcomes of political consequence (e.g., economic growth, rising inequality). We argue that people attribute positive outcomes more and negative outcomes less to their own political party than to an opposing party. We conducted two studies, one before the 2016 U.S. presidential election (N = 244) and another before the 2020 election (N = 249 registered voters), that examined attributions across a wide array of outcomes. As predicted, a robust partisan attribution bias emerged in both studies. Although the bias was largely equivalent among Democrats and Republicans, it was magnified among those with more extreme political ideology. Further, the bias predicted unique variance in voting intentions and significantly mediated the link between political ideology and voting. In sum, these data suggest that partisan allegiances systemically bias attributions in a group-favoring direction. We discuss implications of these findings for emerging research on political social cognition.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1139-1156 |
| Number of pages | 18 |
| Journal | Group Processes and Intergroup Relations |
| Volume | 25 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jun 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 10 Reduced Inequalities
All Science Journal Classification (ASJC) codes
- Social Psychology
- Cultural Studies
- Communication
- Arts and Humanities (miscellaneous)
- Sociology and Political Science
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