UMCS-22 Survey: Calling Dimensions and Job Outcomes in French Volunteer Firefighters

French volunteer firefighters (N=1,149) participated in a survey measuring calling dimensions, satisfaction, emotional exhaustion, and turnover intention. The dataset contains results analyzed via Bayesian linear regression and was authored by Marina Burakova. It was last updated on 2026-05-28.

Use Cases

• Modeling the relationship between calling dimensions and job satisfaction based on survey constructs.
• Analyzing predictors of emotional exhaustion and turnover intention in volunteer workforces.
• Conducting Bayesian regression analysis on psychological survey data from a specific professional group.

Strengths

• Dataset has a substantial sample size of 1,149 survey respondents.
• Analysis uses Bayesian linear regression, a modern statistical method.
• Data is openly licensed under CC-BY-4.0 for reuse.

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 professional bias inherent to the surveyed population.

Provenance

Source

Marina Burakova via figshare

Collection Method

Survey data collection from French volunteer firefighters.

Freshness

Last updated 2026-05-28 17:36:58; freshness should be verified.

Geography

France