MILLMAN, Caroline, RIGBY, Dan and JONES, Davey L (2020). Investigating heterogeneity in food risk perceptions using best-worst scaling. Journal of Risk Research.
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Abstract
The psychometric paradigm has dominated the field of empirical work analysing risk perceptions. In this paper, we use an alternative method, Best-Worst Scaling (BWS), to elicit relative risk perceptions concerning potentially unsafe domestic food behaviours. We analyse heterogeneity in those risk perceptions via estimation of latent class models. We identify 6 latent segments of differing risk perception profiles with the probability of membership of those segments differing between experts and the lay public. The BWS method provides a practical approach to assessing relative risks as the choices made by the participants and subsequent analysis have a strong theoretical basis. It does so without the influence of scale bias, the cognitive burden of ranking a large number of items or issues of aggregation of data, often associated with the more commonly used psychometric paradigm. We contend that BWS, in conjunction with latent class modelling, provides a powerful method for eliciting risk rankings and identifying differences in these rankings in the population.
Item Type: | Article |
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Uncontrolled Keywords: | Risk perception; domestic food safety; Best-Worst Scaling; expert-lay differences; psychometric paradigm; heterogeneity; Strategic, Defence & Security Studies |
Identification Number: | https://doi.org/10.1080/13669877.2020.1848902 |
SWORD Depositor: | Symplectic Elements |
Depositing User: | Symplectic Elements |
Date Deposited: | 14 Dec 2020 13:52 |
Last Modified: | 23 May 2022 01:18 |
URI: | https://shura.shu.ac.uk/id/eprint/27775 |
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