Aggregating replication data for a study on voter distrust of delayed election results and the effects of a prebunking message. The data supports research published in PNAS Nexus, Volume 3, Issue 10, in October 2024. It was authored by Mackenzie Lockhart and colleagues.
Use Cases
- Analyze the relationship between prebunking message exposure and reported levels of voter distrust.
- Examine demographic or experimental condition variables to identify subgroups most affected by delayed election result announcements.
- Model the causal effect of the prebunking intervention on trust metrics using the study's experimental data structure.
Strengths
- Data is associated with a peer-reviewed publication in PNAS Nexus, indicating academic rigor.
- The dataset was last updated in February 2026, suggesting maintenance.
Limitations
- The specific variables, sample size (rows), and file structure are unknown, limiting immediate usability.
- Without column details, the scope of demographic, experimental, or outcome measures cannot be assessed.
Provenance
- Source
- Harvard Dataverse, as a replication package for the PNAS Nexus article.
- Collection Method
- Presumably collected via experimental or survey methods for the original study.
- Time Range
- null
- Freshness
- Last updated on 2026-02-09.
- Geography
- null