This dataset supports research on trade-offs between descriptive and partisan representation for Asian American voters. It contains experimental data from two studies examining preferences for co-ethnic, cross-ethnic, pan-ethnic, and co-partisan candidates. The data was authored by John Cho and is associated with the British Journal of Political Science.
Use Cases
- Analyze voter preference shifts between experimental settings focusing on co-ethnic and co-partisan candidate choices.
- Examine heterogeneity in representation preferences across different Asian ethnicities within the dataset.
- Model the conditions under which Asian American voters trade off race/ethnicity for partisanship in electoral settings.
- Investigate the comparative weight of pan-ethnic versus co-ethnic descriptive representation in voter decision-making.
Strengths
- Data is directly tied to a peer-reviewed publication in the British Journal of Political Science.
- Focuses on the understudied and heterogeneous group of Asian Americans in political science.
Limitations
- The specific number of rows, columns, and sample size is unknown, limiting assessment of statistical power.
- Experimental data may not fully capture real-world voting behavior outside of controlled settings.
- Geographic and demographic scope of the participant sample is unspecified, which may affect generalizability.
Provenance
- Source
- British Journal of Political Science Dataverse
- Collection Method
- Data from two experiments on voter preferences.
- Time Range
- null
- Freshness
- null
- Geography
- null