144.9 MB replication files analyze fragmented identity documentation among Syrian refugees in Lebanon. Latent class analysis identifies four prevalent patterns of document ownership, linking them to varied access to services and vulnerabilities. The dataset, authored by V.N. Tran and released under CC-BY-4.0, provides files for replicating this research.
Use Cases
- Replicating latent class analysis based on survey data of Syrian refugees.
- Analyzing relationships between documentation patterns and access to essential services.
- Studying vulnerabilities associated with specific constellations of identity documents.
- Modeling non-binary approaches to measuring legal identity and inclusion.
- Tailoring monitoring and intervention approaches to specific documentation patterns.
Strengths
- 144.9 MB dataset provides substantial replication files.
- Analysis identifies four distinct patterns of documentation ownership.
- Focus on a specific population (Syrian refugees in Lebanon) provides contextual depth.
- Open CC-BY-4.0 license facilitates reuse and verification.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic and population bias inherent to the survey context.
Provenance
- Source
- V.N. Tran
- Collection Method
- Likely contains survey data analyzed via latent class analysis.
- Freshness
- Last updated 2026-04-30 10:03:30; freshness should be verified.
- Geography
- Syrian refugees in Lebanon.