WUSTL Team survey data from the 2024 Senate primary elections includes both general population samples and oversamples of likely primary voters. The survey was fielded during primary elections in California, Michigan, and Nevada. For detailed methodology, see the associated article in Data in Brief (DOI: 10.1016/j.dib.2026.112762).
Use Cases
- Modeling primary voter turnout based on survey responses.
- Analyzing public opinion on Senate candidates across three states.
- Comparing political attitudes between general population and likely voter samples.
Strengths
- Includes oversamples of likely primary voters, which can provide more precise estimates for this key subgroup.
- Data is linked to a peer-reviewed methodological article in Data in Brief, providing documented context.
- Covers three politically significant states (California, Michigan, Nevada) during a Senate primary cycle.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale modeling.
- Data may reflect geographic bias inherent to the three surveyed states.
Provenance
- Source
- Primary Election Study Dataverse, authored by Sarah E. Anderson.
- Collection Method
- Survey fielded during the 2024 Senate primary elections.
- Time Range
- 2024
- Freshness
- Last updated 2026-04-23 03:22:22; freshness should be verified.
- Geography
- California, Michigan, and Nevada, United States.