Replication Data for 'Voting for Gender Balancing? The Effect of a Multiple-Vote System on Women’s Representation' is a dataset from the Political Science Research and Methods (PSRM) Dataverse. It contains results from a survey experiment that varied the number of selectable candidates in multi-member local elections to study effects on voter behavior and gender diversity. The dataset was last updated on 2026-05-04.
Use Cases
- Analyzing the effect of multiple-vote ballots on candidate selection patterns based on the described survey experiment.
- Modeling voter ranking behavior by gender based on the described first-, second-, and third-choice results.
- Testing theories of diversity in majoritarian elections based on the described experimental conditions.
Strengths
- Data originates from a controlled survey experiment described in the research.
- Dataset is hosted on the Political Science Research and Methods (PSRM) Dataverse, suggesting academic provenance.
- Last update timestamp is precisely recorded as 2026-05-04 16:28:10.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The description notes men often emerged as the first-ranked choice, indicating a potential bias in aggregate outcomes.
Provenance
- Source
- Political Science Research and Methods (PSRM) Dataverse, author Yoshikuni Ono.
- Collection Method
- Survey experiment varying the number of selectable candidates in multi-member local elections.
- Time Range
- null
- Freshness
- Last updated 2026-05-04 16:28:10; freshness should be verified.
- Geography
- null