- Title
- Analysis of three-way non-symmetrical association of food concepts in cross-cultural marketing
- Creator
- Lombardo, Rosaria; Beh, Eric J.; Guerrero, Luis
- Relation
- Quality and Quantity Vol. 53, Issue 5, p. 2323-2337
- Publisher Link
- http://dx.doi.org/10.1007/s11135-018-0733-6
- Publisher
- Springer
- Resource Type
- journal article
- Date
- 2019
- Description
- 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 CM-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.
- Subject
- food concepts; three-way categorical data; predictability index; non-symmetrical three-way correspondence analysis
- Identifier
- http://hdl.handle.net/1959.13/1411487
- Identifier
- uon:36342
- Identifier
- ISSN:0033-5177
- Language
- eng
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