{"title":"A FACTOR ANALYSIS APPLICATION ON INCOME SOURCES OF UNIVERSITY STUDENTS IN EUROPEAN COUNTRIES","authors":"Oğuzhan Demirel","doi":"10.51541/NICEL.846104","DOIUrl":null,"url":null,"abstract":"This statistical study has been carried out to examine and interpret the income types that make up the income sources of students. For this purpose, a data set has created using 14 European countries that included all the data for 9 variables. These countries have been chosen as they did not contain missing data for each variable. Initially, factor analysis, which is a statistical method suitable for the purpose of the study, has been applied to a data set. Then, principal component analysis (PCA), one of the exploratory factor analysis (EFA) methods, has been preferred for this analysis. According to the rotated component matrix results, a result consisting of 3 factors has been obtained for 8 variables. These factors consisting of variables that make up the income sources of university students; has been named “income that students can save”, “students' main sources of income” and “special incomes of students”. Key","PeriodicalId":382804,"journal":{"name":"Nicel Bilimler Dergisi","volume":"803 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nicel Bilimler Dergisi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51541/NICEL.846104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This statistical study has been carried out to examine and interpret the income types that make up the income sources of students. For this purpose, a data set has created using 14 European countries that included all the data for 9 variables. These countries have been chosen as they did not contain missing data for each variable. Initially, factor analysis, which is a statistical method suitable for the purpose of the study, has been applied to a data set. Then, principal component analysis (PCA), one of the exploratory factor analysis (EFA) methods, has been preferred for this analysis. According to the rotated component matrix results, a result consisting of 3 factors has been obtained for 8 variables. These factors consisting of variables that make up the income sources of university students; has been named “income that students can save”, “students' main sources of income” and “special incomes of students”. Key