Survey Experiments on Partisan Bias in Poland

A collection of survey experiment data from Poland examining partisan bias in high-stakes political scenarios. It was created by Mark Kayser for a study published in the British Journal of Political Science, with the data last updated in February 2026. The study probes in-group bias regarding electoral integrity during the 2023 parliamentary election and national security after Russia's 2022 invasion of Ukraine.

Use Cases

• Analyze the relationship between partisanship levels and support for rerunning elections using survey experiment data.
• Compare partisan bias metrics between the electoral integrity and national security scenarios to assess context-dependent effects.
• Examine the demographic or attitudinal correlates of in-group bias as measured in the experimental responses.
• Model the probability of supporting collective goods as a function of experimental treatment conditions and participant characteristics.

Strengths

• Data is associated with a peer-reviewed study published in the British Journal of Political Science.
• Focuses on high-stakes, real-world political contexts: the 2023 Polish parliamentary election and the 2022 Russian invasion of Ukraine.
• The study reports a specific, quantified finding: approximately 40% of party supporters with average partisanship supported rerunning an election when their party lost.

Limitations

• The specific sample size (number of survey respondents) is not provided in the input.
• The available column names and data structure are unknown, limiting immediate analytical utility.
• The dataset's geographic scope is limited to Poland, which may limit generalizability to other political contexts.

Provenance

Source

British Journal of Political Science Dataverse

Collection Method

Survey experiments conducted in Poland.

Time Range

Covers the period of the 2023 parliamentary election and post-2022 invasion of Ukraine.

Freshness

Data was last updated on 2026-02-12.

Geography

Poland