Treatment of “don’t know” responses in the consumers’ perceptions about sustainability in the agri-food sector

Treatment of “don’t know” responses in the consumers’ perceptions about sustainability in... In several studies the analysis of consumers’ perceptions has become of paramount strategic value in order to understand consumption behaviour. The aim of this paper is to determine the effectiveness of two alternative strategies for analyzing the “don’t know” responses in questionnaires with items having ordered response categories. Both strategies rest on a statistical model, denoted as cub (Combination of Uniform and shifted Binomial random variables), designed to measure the agreement of consumers with the latent trait measured by the questionnaire together with the level of uncertainty in choosing the ordinal response category. In the first strategy, the fraction of don’t know responses is considered as a measure of the item difficulty and used, together with some personal characteristics, as covariate in the cub model. The second strategy is a recent extension of the standard cub, consisting in adjusting the uncertainty measure to take account of the fraction of don’t know responses, considered as a source of further uncertainty. We applied the two proposed strategies on real data from a survey about the consumers’ perceptions on the importance of sustainability issues in the agri-food sector. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Treatment of “don’t know” responses in the consumers’ perceptions about sustainability in the agri-food sector

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Publisher
Springer Netherlands
Copyright
Copyright © 2016 by Springer Science+Business Media Dordrecht
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-016-0438-7
Publisher site
See Article on Publisher Site

Abstract

In several studies the analysis of consumers’ perceptions has become of paramount strategic value in order to understand consumption behaviour. The aim of this paper is to determine the effectiveness of two alternative strategies for analyzing the “don’t know” responses in questionnaires with items having ordered response categories. Both strategies rest on a statistical model, denoted as cub (Combination of Uniform and shifted Binomial random variables), designed to measure the agreement of consumers with the latent trait measured by the questionnaire together with the level of uncertainty in choosing the ordinal response category. In the first strategy, the fraction of don’t know responses is considered as a measure of the item difficulty and used, together with some personal characteristics, as covariate in the cub model. The second strategy is a recent extension of the standard cub, consisting in adjusting the uncertainty measure to take account of the fraction of don’t know responses, considered as a source of further uncertainty. We applied the two proposed strategies on real data from a survey about the consumers’ perceptions on the importance of sustainability issues in the agri-food sector.

Journal

Quality & QuantitySpringer Journals

Published: Oct 12, 2016

References

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