Analysis of three-way non-symmetrical association of food concepts in cross-cultural marketing

被引：0

作者：

Lombardo R. ^{[1
]}

Beh E.J. ^{[2
]}

Guerrero L. ^{[3
]}

机构：

[1] Economics Department, University of Campania, via Gran Priorato di Malta, Capua, 81043, CE

[2] School of Mathematical and Physical Sciences, University of Newcastle, Callaghan

[3] IRTA-Monells, Finca Camps i Armet, Monells

来源：

Quality & Quantity | 2019年 / 53卷 / 5期

关键词：

Food concepts; Non-symmetrical three-way correspondence analysis; Predictability index; Three-way categorical data;

D O I：

10.1007/s11135-018-0733-6

中图分类号：

学科分类号：

摘要：

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. © 2018, Springer Science+Business Media B.V., part of Springer Nature.

引用

页码：2323 / 2337

页数：14