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Identification Of Those Variables That Have A Significant Influence On The Expected Number Of Days Of Staying In The Centre Development Region Of Romania

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  • Erika KULCSÁR

    ("Babes-Bolyai” University of Cluj-Napoca, Romania)

Abstract

I started from the assumption that there are more variables that have a significant influence on the expected number of days of staying in the Centre Development Region. To identify those variables this paper includes the analysis of variance with two variables that are not interacting, in this case the dependent variable is the question "How many days did you plan to stay in Centre Development Region?" and the independent variables are: "What is the purpose of your stay?" "What is the highest level of education?". Given that there are cases when interactions occur between variables, I also analyzed the interaction effects between the two independent variables. The paper also includes an ANOVA analysis with three variables between which interactions relationships occur. After identifying the dependency relations between the variables I found that the inclusion of the third variable, namely the "Marital status" of respondents, adds value to the model. Following the results obtained by ANOVA analysis, I identified those socio-demographic characteristics that, in my opinion, companies that operate on tourist market in the Center Development Region should consider when fundamenting marketing strategies in tourism.

Suggested Citation

  • Erika KULCSÁR, 2010. "Identification Of Those Variables That Have A Significant Influence On The Expected Number Of Days Of Staying In The Centre Development Region Of Romania," Revista de turism - studii si cercetari in turism / Journal of tourism - studies and research in tourism, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 9(9), pages 62-68, June.
    • Handle: RePEc:scm:rdtusv:v:9:y:2010:i:9:p:62-68
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