因子分析在欧洲国家大学生收入来源研究中的应用

Oğuzhan Demirel
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引用次数: 1

摘要

本统计研究是为了检验和解释构成学生收入来源的收入类型。为此,使用14个欧洲国家创建了一个数据集,其中包括9个变量的所有数据。之所以选择这些国家,是因为它们不包含每个变量的缺失数据。首先,因子分析是一种适合研究目的的统计方法,已应用于数据集。然后,主成分分析(PCA),探索性因子分析(EFA)方法之一,已被首选。根据旋转分量矩阵的结果,得到了8个变量的3个因子的结果。这些因素构成了大学生收入来源的变量;先后被评为“学生可储蓄的收入”、“学生主要收入来源”和“学生特殊收入”。关键
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
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