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European Journal for Research on the Education and Learning of Adults
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Predicting drop-out during initial training among volunteer firefighters

Authors: Pauline Born;

Predicting drop-out during initial training among volunteer firefighters

Abstract

This article looks at the drop-out rate among volunteer firefighters during their initial training. It is based on data collected in France. It uses a mixed approach to identify profiles likely to leave their commitment quickly during initial training. Profile data from 330 individuals still in employment and 42 dropouts were used. The results show that women, individuals with prior knowledge of the environment, and city dwellers are more likely to drop out, while individuals from advantaged socioeconomic backgrounds will continue their involvement. Adjustments in communication, environmental management and mission specialisation could help retain volunteers and limit the risk of early drop-out. This study addresses a particularly important issue at a time when the recruitment of volunteer firefighters is posing significant challenges around the world.

Keywords

Dropouts, LC8-6691, Commitment, Initial training, volunteer firefighters, commitment, dropouts, initial training, [SHS] Humanities and Social Sciences, Volunteer firefighters, Special aspects of education

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Published in a Diamond OA journal