This dataset supports research on non-ideological protest voting in the U.S. Congress. It contains roll-call vote data used to estimate a model that adjusts for protest voting, which reclassifies members like the Squad as the most liberal. The data underpins findings on legislative ideology, polarization, and electoral effects.
Use Cases
- Estimate protest-voting-adjusted ideology scores for members of Congress using roll-call vote data.
- Analyze the implications of protest voting on roll-call-based estimates of congressional polarization.
- Compare traditional IRT model ideology scores with protest-voting-adjusted scores for specific member groups like the Squad.
- Investigate the relationship between protest voting and measures of legislative responsiveness in elections.
Strengths
- Data is associated with a peer-reviewed publication in Political Analysis, providing methodological rigor.
- The analysis identifies specific implications for ideology measurement, polarization, and electoral studies.
Limitations
- The specific number of rows, columns, and file formats are unknown, limiting assessment of dataset scale and structure.
- The raw vote data and model estimation inputs may not be fully included, requiring users to rely on the author's constructed measures.
Provenance
- Source
- Political Analysis Dataverse
- Collection Method
- Data compiled for modeling congressional roll-call voting to account for protest voting behavior.
- Time Range
- null
- Freshness
- null
- Geography
- United States Congress