The Use of the Correspondence Analysis in the Research of the Tourist Activity of University Students

Bąk Iwona
Additional contact information
Bąk Iwona: Department of Application of Mathematics in Economics Faculty of Economics, West Pomeranian University of Technology, Szczecin Janickiego 31, 71-101 Szczecin

Folia Oeconomica Stetinensia, 2009, vol. 8, issue 1, 7-18

Abstract: Tourist activity and travel constitute the function of the people's quality of life and indicate the level of civilizational development of the country. Tourism of young people has its separate, specific place in the trends in contemporary tourism. Students constitute a social group that has substantial free time resources at hand, and therefore, form one of the most touristically active society groups. This articles aims at analyzing tourist activity of Szczecin universities students, and in particular, in detecting the relations between the variables characterizing their holiday. Simple statistic methods in the field of structure analysis and multidimensional correspondence analysis were used as a scientific tool. The Correspondence Analysis module of STATISTICA 8.0 package was used for the purpose of calculations and graphic presentation.

Keywords: tourist activity; multiple correspondence analyses; Ward method; tourist activity; multiple correspondence analyses; Ward method (search for similar items in EconPapers)
Date: 2009
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/v10031-009-0008-4 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:foeste:v:8:y:2009:i:1:p:7-18:n:4

DOI: 10.2478/v10031-009-0008-4

Access Statistics for this article

Folia Oeconomica Stetinensia is currently edited by Waldemar Tarczyński

More articles in Folia Oeconomica Stetinensia from Sciendo
Bibliographic data for series maintained by Peter Golla ().