Abstract
This paper analyses the non-symmetrical association among some key-words in a food context, given the European countries and gender of participants to a survey. The aim is to understand the meaning of the food concepts traditional and innovation associated to selected key-words in cross-cultural marketing. For studying the association among three categorical variables, usually, one can refer to Pearson’s three-way statistic, but in case of non-symmetrical association we prefer to consider Marcotorchino’s three-way predictability index and its related \(C_M\)-statistic. Doing so, we present a generalisation of three-way non-symmetrical correspondence analysis to portray the predictability of food concepts given the knowledge of participants’country and gender.
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Acknowledgements
Authors would like to thank Dr. Margrethe Hersleth (Nofima, Norway) for the permission to use and publish the data reported in the present document. This study was supported by the TRUEFOOD - Traditional United Europe Food - an Integrated Project financed by the European Commission under the 6th Framework Programme (Contract no. FOOD-CT-2006-016264). The information in this document reflects only the authors' views and the European Commission is not liable for any use that may be made of the information contained therein.
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Lombardo, R., Beh, E.J. & Guerrero, L. Analysis of three-way non-symmetrical association of food concepts in cross-cultural marketing. Qual Quant 53, 2323–2337 (2019). https://doi.org/10.1007/s11135-018-0733-6
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DOI: https://doi.org/10.1007/s11135-018-0733-6