四川精神卫生2024，Vol.37Issue(z1)：24-29,6.DOI:10.11886/scjsws20230925001
合理进行多元分析——探索性因子分析
Reasonably carry out multivariate analysis:exploratory factor analysis
胡纯严 1胡良平2
作者信息
- 1. 军事科学院研究生院,北京 100850
- 2. 军事科学院研究生院,北京 100850||世界中医药学会联合会临床科研统计学专业委员会,北京 100029
- 折叠
摘要
Abstract
The purpose of this article was to introduce the basic concepts,calculation methods,two examples related to the exploratory factor analysis,and how to implement calculations using SAS.Basic concepts included common factors and special factors,factor loadings,common factor variances and factor scree plots.The calculation methods involved the mathematical model of factor analysis,principal component method,principal factor method,centroid method and maximum likelihood method.The data in the two examples were"evaluation data of 31 provincial government portal websites"and"sources of basic construction investment in various regions across the country".With the help of SAS software,the exploratory factor analysis was conducted on the data in the two examples,and an explanation was given to the SAS output results.关键词
因子模型/因子载荷/因子轴旋转/主成分法/最大似然法Key words
Factor model/Factor loading/Factor axis rotation/Principal component method/Maximum likelihood method分类
预防医学引用本文复制引用
胡纯严,胡良平..合理进行多元分析——探索性因子分析[J].四川精神卫生,2024,37(z1):24-29,6.
