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Statements

Subject Item
n2:RIV%2F44555601%3A13510%2F12%3A43883961%21RIV13-MSM-13510___
rdf:type
skos:Concept n9:Vysledek
dcterms:description
This paper undertakes and investigates some marketing segmentations of those students wishing to study abroad and the economic potential of such resulting segmentation within the individual groups. Three algorithms were employed as classification trees - CART, CHAID and QUEST for its evaluation from the group of supervised learning methods. From the group of unsupervised learning methods the two-step cluster analysis was chosen. This paper analyzes the results obtained using these methods. It aims to create classes of respondents harbouring similar opinions with respect to tuition fees to be paid by foreign students. We have used various tests for the hypotheses such the as Chi-square Test of Independence and the Kruskal-Wallis Test. The research sample consisted of more than one thousand students from six countries. A %22perfect%22 type of person as candidate was profiled in terms of willingness and the financial means to pursue their studies in the Republic invested and this survey formed the basis of the profiling. Our research shows that an acceptable level of fees depends on several factors such as: the amount of travel involved, family and teachers at the school, then on the assumption that the study stay abroad would improve knowledge of foreign languages, practical work experience offered in the foreign country and the subsequent acquisition of a diploma with Europe-wide validity. There exists an acceptable level of tuition and this in turn reveals that the most acceptable level of tuition fees may be dependent upon the viewpoint of potential practical work experience abroad and then from the viewpoint of improvement in a foreign language. The amount of annual tuition fees that students are willing to pay depends too on the number of university-educated parents the students possess. This paper undertakes and investigates some marketing segmentations of those students wishing to study abroad and the economic potential of such resulting segmentation within the individual groups. Three algorithms were employed as classification trees - CART, CHAID and QUEST for its evaluation from the group of supervised learning methods. From the group of unsupervised learning methods the two-step cluster analysis was chosen. This paper analyzes the results obtained using these methods. It aims to create classes of respondents harbouring similar opinions with respect to tuition fees to be paid by foreign students. We have used various tests for the hypotheses such the as Chi-square Test of Independence and the Kruskal-Wallis Test. The research sample consisted of more than one thousand students from six countries. A %22perfect%22 type of person as candidate was profiled in terms of willingness and the financial means to pursue their studies in the Republic invested and this survey formed the basis of the profiling. Our research shows that an acceptable level of fees depends on several factors such as: the amount of travel involved, family and teachers at the school, then on the assumption that the study stay abroad would improve knowledge of foreign languages, practical work experience offered in the foreign country and the subsequent acquisition of a diploma with Europe-wide validity. There exists an acceptable level of tuition and this in turn reveals that the most acceptable level of tuition fees may be dependent upon the viewpoint of potential practical work experience abroad and then from the viewpoint of improvement in a foreign language. The amount of annual tuition fees that students are willing to pay depends too on the number of university-educated parents the students possess.
dcterms:title
Typology of foreign students interested in studying at czech universities Typology of foreign students interested in studying at czech universities
skos:prefLabel
Typology of foreign students interested in studying at czech universities Typology of foreign students interested in studying at czech universities
skos:notation
RIV/44555601:13510/12:43883961!RIV13-MSM-13510___
n9:predkladatel
n10:orjk%3A13510
n3:aktivita
n6:I
n3:aktivity
I
n3:cisloPeriodika
2
n3:dodaniDat
n15:2013
n3:domaciTvurceVysledku
n12:7478518
n3:druhVysledku
n11:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
175557
n3:idVysledku
RIV/44555601:13510/12:43883961
n3:jazykVysledku
n13:eng
n3:klicovaSlova
economic potential; marketing segmentation; decision trees; cluster analysis; classification
n3:klicoveSlovo
n7:economic%20potential n7:cluster%20analysis n7:classification n7:marketing%20segmentation n7:decision%20trees
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[28C7518E28DB]
n3:nazevZdroje
E+M. Ekonomie a Management
n3:obor
n17:AE
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n15:2012
n3:svazekPeriodika
XV
n3:tvurceVysledku
Žambochová, Marta
n3:wos
000306893100012
s:issn
1212-3609
s:numberOfPages
13
n16:organizacniJednotka
13510