{"title":"因子分析在欧洲国家大学生收入来源研究中的应用","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":"{\"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}","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}
A FACTOR ANALYSIS APPLICATION ON INCOME SOURCES OF UNIVERSITY STUDENTS IN EUROPEAN COUNTRIES
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