Will H. Moore of Florida State University created this dataset to test theories on dissident responses to government repression. The study uses sequential data rather than aggregated time-series data to analyze the relationship between state actions and dissent. It supports Mark Lichbach's substitution theory but does not support theories by Dipak Gupta and Karen Rasler.
Use Cases
- Test the substitution hypothesis between violent and nonviolent dissent based on state repression.
- Analyze the short-term versus long-term effects of repression on dissent levels.
- Examine the role of regime type as a potential determinant of dissident behavior.
- Model sequential patterns in political conflict data.
Strengths
- Data is structured for sequential analysis, as explicitly mentioned in the description.
- Dataset is associated with a specific academic study and author, providing clear context.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count, file formats, and license information are unknown.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Will H. Moore, Florida State University
- Collection Method
- Likely compiled for statistical analysis in an academic study.