<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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 use of FSA in labour market sociology, with a particular focus on employer-based surveys, and what they can teach us about hiring preferences. FSA is useful in this context as it targets employers directly and comes close to a causal design. This review article seeks to pinpoint the contributions FSA has made to the field, identify its limits and propose topics in which it may be useful.</p></abstract>

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 use of FSA in labour market sociology, with a particular focus on employer-based surveys, and what they can teach us about hiring preferences. FSA is useful in this context as it targets employers directly and comes close to a causal design. This review article seeks to pinpoint the contributions FSA has made to the field, identify its limits and propose topics in which it may be useful.

How Factorial Survey Analysis Improves Our Understanding of Employer Preferences

Life Course and Inequality Research Centre (LINES)

Swiss Journal of Sociology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"How Factorial Survey Analysis Improves Our Understanding of Employer Preferences"}

Factorial Survey Analysis (FSA) is an analytical tool that presents respondents with fictional situations (“vignettes”) to be rated or judged. In this paper we...

How Factorial Survey Analysis Improves Our Understanding of Employer Preferences

Publicado en línea: 17 ago 2019

Páginas: 237 - 260

DOI: https://doi.org/10.2478/sjs-2019-0011

Palabras clave
employer preferences, employer surveys, recruitment

© 2019 Patrick McDonald, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

How Factorial Survey Analysis Improves Our Understanding of Employer Preferences

Publicado en línea: 17 ago 2019

Páginas: 237 - 260

DOI: https://doi.org/10.2478/sjs-2019-0011

Palabras claveemployer preferences, employer surveys, recruitment

© 2019 Patrick McDonald, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Palabras clave
employer preferences, employer surveys, recruitment