Marketing Research on Tourist Consumer Opinions and Behavior in the Center Development Region

Erika Kulcsár
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Erika Kulcsár: "Babeş-Bolyai" University, Cluj-Napoca

Theoretical and Applied Economics, 2010, vol. 6(547), issue 6(547), 75-88

Abstract: Logistic regression is a multivariate analysis method of marketing information becoming more and more used because the number of conditions that must be achieved are lower than, for example, in the case of discriminant analysis. The purpose of this paper is to obtain information using logistic regression with respect to the importance of variables in differentiating the classes. The variables included in logistic regression are: the dependent variable is the type of tourists (Romanian or foreign) and the independent variables are as follows: Is this the first time you came to this region? How many days do you plan to stay in this region? Which is the purpose of your staying? In the following year, do you plan to return to this region? This paper also includes a factorial analysis of correspondences, as well as the bivariate analysis using Kruskal-Wallis test in order to simultaneously test the difference between the age of the respondents and their assessment of the organization manner, variety and attractiveness of tours.

Keywords: variable; Kruskal-Wallis test; logistic regression; Wald test; factorial analysis. (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:agr:journl:v:6(547):y:2010:i:6(547):p:75-88

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