U.S. Survey Data on Partisan Support for Political Violence

A rolling cross-sectional survey in the United States measured partisan differences in support for political violence before and after the December 2024 assassination of a healthcare CEO and the perpetrator's arrest. The dataset, authored by Chiara Vargiu for Public Opinion Quarterly, provides evidence for a causal test of how a real-world event and public discourse shifted attitudes.

Use Cases

• Analyze shifts in support for political violence across partisan groups before and after the CEO assassination event.
• Model the causal impact of the perpetrator's arrest on attitudes using the natural experiment framework.
• Investigate correlations between partisan identity and the glorification of ideologically framed acts of violence.

Strengths

• Data is from a rolling cross-sectional survey, enabling causal inference from a natural experiment.
• Focuses on a specific, high-salience real-world event (the December 2024 CEO assassination).
• Authored and published in association with the academic journal Public Opinion Quarterly.

Limitations

• Sample size, demographic breakdowns, and specific survey question wording are unknown.
• Findings are geographically limited to the United States and temporally tied to a single event.
• Lack of column details prevents assessment of variable types, scales, or potential measurement biases.

Provenance

Source

Vargiu, Chiara; Public Opinion Quarterly.

Collection Method

Rolling cross-sectional survey conducted in the United States.

Time Range

Periods before and after December 2024.

Freshness

Data was last updated on January 20, 2026.

Geography

United States.