Survey Data on COVID-19 Public Health Measure Compliance from Three Experiments

Replication data for a study on surveying citizen compliance with COVID-19 public health measures. The dataset likely contains results from three survey experiments conducted by Jean‐François Daoust of the University of Edinburgh. The specific scale, time range, and geographic coverage of the data are not detailed in the provided metadata.

Use Cases

• Analyze the effectiveness of different survey question designs based on the experimental framework described.
• Study self-reported compliance with measures like masking and distancing based on the survey data.
• Replicate statistical analyses from the associated research paper using the provided data.
• Compare behavioral responses across different experimental conditions mentioned in the study.

Strengths

• Data is associated with a formal academic research paper, suggesting a structured collection process.
• The dataset is designated as replication data, which typically supports methodological transparency and reproducibility.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Edinburgh

Collection Method

Likely collected via survey experiments as part of academic research.