Improving our understanding of employer decision-making thanks to factorial survey analysis

Détails

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Etat: Public
Version: Final published version
Licence: Non spécifiée
ID Serval
serval:BIB_D01EC94B7900
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Improving our understanding of employer decision-making thanks to factorial survey analysis
Périodique
LIVES Working Papers
Auteur(s)
McDonald Patrick
ISSN
2296-1658
Statut éditorial
Publié
Date de publication
2017
Volume
2017
Numéro
61
Pages
1-24
Langue
anglais
Résumé
Factorial Survey Analysis (FSA) is an analytical tool that presents respondents with fictional situations (“vignettes”) to be rated or judged. In this paper we study the uses of FSA in labour market sociology, with a particular focus on employer-based surveys, and what they can teach us about hiring decisions. FSA is a useful tool in this context as it targets employers directly, rather than relying on inference from labour-force surveys, or recollection of previous decision-making. Additionally, it makes causal relationships more easily identifiable. This review article seeks to pinpoint the contributions FSA has made to the field, and shows that FSA is useful in gleaning new and important information on previously hard-to-reach issues. Particularly, FSA can be used to analyse employers’ use of signals and indices, and their decision-making behaviours in general. Finally, the paper proposes some further applications for FSA going forward, especially in terms of understanding recruitment discrimination
Mots-clé
Factorial survey analysis, employer surveys, recruitment, employer behaviour, discrimination
Création de la notice
16/04/2019 9:22
Dernière modification de la notice
21/08/2019 6:10
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