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基于因子分析的老年人幸福感评估方法研究

Research on the Elderly Happiness Assessment Method Based on Factor Analysis
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摘要 随着我国老年人口的不断增加,老年人的幸福水平直接反映了国家的经济水平与社会福祉。为定量评估老年人的幸福感,采用2018—2019年的老年健康影响因素调查数据,利用统计学方法对老年人幸福感进行研究。通过因子分析进行幸福指标搭建,对各样本的公共因子加权,发现经济、健康、生活和社会这四个公共因子的方差贡献率为0.8903,可以解释大部分变量,故选取其作为公共因子,构建老年人幸福指数测量模型,对最后的综合指数进行指数化处理,确定部分老年人的幸福指数。今后的研究中,还可在此基础上考虑使用主成分分析与LDA相关方法,以期进一步实现对“幸福”这一模糊名词的定量处理。 With the continuous increase of the elderly population in China,the happiness level of the elderly directly reflects the economic level and social well-being in China.In order to assess the well-being of the elderly quantitatively,the study conducts the survey data of the influencing factors of elderly health from 2018 to 2019,and analyzes the statistical methods on elderly happiness.The study establishes happiness index with factor analysis,and weights public factors of each sample.It is found that the four common factors of economy,health,life and society have a variance contribution of 0.8903,which can explain most of the variables.So they are selected as the public factors.Then the study constructs the happiness index measurement model of the elderly,and conducts indexation of the final comprehensive index,and determines the happiness index of some elderly people.In the future research,we can also consider the use of principal component analysis and LDA related methods on this basis,so as to further realize the quantitative processing of the fuzzy term“happiness”.
作者 赵玉航 Zhao Yuhang(School of Science,China University of Petroleum(East China),Qingdao,Shandong,266555,China)
出处 《黑龙江科学》 2024年第5期47-51,共5页 Heilongjiang Science
关键词 老年人幸福感 KNN填充 因子分析 人口老龄化 Elderly happiness KNN filling Factor analysis Population ageing
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