A dataset exploring turnout patterns in Spanish party primaries (1991-2023)
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View abstract on PubMed
Summary
This summary is machine-generated.This study details a dataset of over 360 internal political processes within Spanish parties from 1991-2023. It enables analysis of how party and process features influence election outcomes.
Area Of Science
- Political Science
- Comparative Politics
- Political Behavior
Background
- Spanish political parties engage in numerous internal selection processes.
- Data on these processes, crucial for understanding party dynamics, are fragmented.
- A comprehensive dataset is needed to analyze factors influencing these internal elections.
Purpose Of The Study
- To present a novel dataset covering primary processes in Spanish political parties.
- To provide data on candidate and leadership selection from 1991 to 2023.
- To facilitate the analysis of variables affecting internal party election results.
Main Methods
- Data compiled from diverse sources, including official party records and media reports.
- Dataset includes over 360 processes from more than 30 Spanish political parties.
- Information covers party characteristics, process specifics, and ballot outcomes.
Main Results
- The dataset captures key metrics such as turnout and winner's vote share.
- It includes data on party ideology, process competitiveness, and voting procedures.
- This comprehensive data allows for empirical investigation of internal electoral dynamics.
Conclusions
- The dataset offers a unique resource for studying Spanish political parties.
- It enables research into the determinants of success in internal party elections.
- This work contributes to a deeper understanding of political behavior and party organization.
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