定性数据的主成分分析及其SAS实现  

Application of principal component analysis for the qualitative data related to family economic conditions

作　　者：徐俊芳[1] 李石柱[1] 贾铁武[1] 刘琴[1] 周晓农[1] 

机构地区：[1]中国疾病预防控制中心寄生虫病预防控制所,世界卫生组织疟疾,血吸虫病和丝病虫合作中心,卫生部寄生虫病原与媒介生物学重点实验室

出　　处：《中国预防医学杂志》2011年第12期991-994,共4页Chinese Preventive Medicine

基　　金：国家重大专项项目(2008ZX10004-011);国家"十一五"科技支撑计划(2007BAC03A02);上海市优秀学术带头人计划(11XD1405400)

摘　　要：目的探讨主成分分析在定性数据分析中的应用及其SAS实现。方法采用分层整群抽样方法,随机抽取某血吸虫病流行区1 247户家庭进行问卷调查,并应用主成分分析法对居民家庭经济状况进行综合评价。结果 21个家庭经济状况的变量主要受前6个主成分的影响,6个主成分依次主要综合了一般的日常生活用品、家庭收支情况、家庭固有资产或不动产、高消费家庭生活用品、家庭农用机械及耕牛的信息。结论进行主成分分析时,应根据数据类型选用合适的主成分分析方法,可以获得更为客观的分析结论。Objective To explore the application of principal component analysis for qualitative data related to family conditions.Methods The method of stratified cluster sampling was used to select 1 247 households from a schistosomiasis endemic area.An informed consent survey was carried out for collecting the data related to family conditions.The factors associated with family economic conditions were evaluated by principal component analysis（PCA） with the SAS statistical package version 9.1（SAS Institute,Cary,NC）.Results A total of 21 variables associated with family economic conditions were collected for the study.The method of PCA found six principal family condition associated components,which included daily necessaries,household income and expenditure,family fixed assets,expensive life supplies,farm machinery tools and cattle.Conclusion The method of principal component analysis is appropriate for evaluating the major influencing factors of family economic conditions.

关 键 词：定性数据 主成分分析 评价 

分 类 号：R181.3[医药卫生—流行病学]