A 2024 panel survey conducted to coincide with the June elections in Belgium, known as the BelREP panel. The dataset investigates the relationship between news avoidance, political sophistication, and ideologically congruent voting. It was authored by Dieter Stiers and hosted by Harvard Dataverse.
Use Cases
- Modeling the impact of news avoidance on voting congruence based on survey responses.
- Analyzing the relationship between political knowledge and correct voting as described in the study.
- Investigating demographic or attitudinal predictors of news avoidance using panel data.
Strengths
- Data is from a panel survey specifically timed to coincide with a national election in June 2024.
- Analysis controls for conventional indicators of political sophistication as mentioned in the description.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- BelREP panel survey
- Time Range
- 2024
- Freshness
- Last updated 2026-03-25 22:23:25; freshness should be verified.
- Geography
- Belgium