Two novel survey experiments investigate how voters resolve the dilemma between choosing their favorite candidate and the one likeliest to win an election. The data, authored by Mayya Komisarchik and hosted by Political Science Research and Methods (PSRM) Dataverse, was last updated in April 2026. It measures policy agreement and electability rankings on the same scale to evaluate voter trade-offs.
Use Cases
- Analyzing the trade-off between policy agreement and electability based on the experimental design described.
- Modeling voter support for candidates when electability information is made salient, as indicated by the 3.8% effect mentioned.
- Studying voter conceptualizations of electability based on open-ended survey responses described in the summary.
- Comparing perceptions of candidate viability in primary versus general elections using the second experiment's framework.
Strengths
- Data is derived from two novel survey experiments designed to measure policy agreement and electability on the same scale.
- The description provides a specific, quantified finding: making electability information salient made respondents 3.8% less likely to support candidates sharing their policy views.
- Includes qualitative data from respondents describing electability in their own words.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count, file formats, and sample data are unknown, which may limit suitability assessment.
- The geographic and demographic scope of the survey respondents is not specified, which may affect generalizability.
Provenance
- Source
- Political Science Research and Methods (PSRM) Dataverse
- Collection Method
- Two novel survey experiments.
- Freshness
- Last updated 2026-04-27 19:35:07; freshness should be verified.