,Overview of the data structure and analysis methods of qualitative data[J].SICHUAN MENTAL HEALTH,2019,32(4):289-296
Overview of the data structure and analysis methods of qualitative data
DOI:10.11886/j.issn.1007-3256.2019.04.001
English keywords:Qualitative data  Data structure  Contingency table  Database  Difference analysis  Regression analysis
Fund projects:国家高技术研究发展计划课题资助(2015AA020102)
Author NameAffiliation
李长平 天津医科大学公共卫生学院卫生统计学教研室世界中医药学会联合会临床科研统计学专业委员会 
胡良平 世界中医药学会联合会临床科研统计学专业委员会军事科学院研究生院 
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English abstract:
      The purpose of this paper was to introduce the data structure and statistical analysis methods of qualitative data. The data structure of qualitative data was divided from four different perspectives, the study type and the design type, the expression of the qualitative results, the form of the expression data and the number of observational points. The seven most commonly used statistical analysis approaches for dealing with qualitative data were as follows: generalized difference analysis, correlation analysis, association analysis, cluster analysis, discriminant analysis, logarithmic linear model analysis and regression analysis.
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