李长平,胡良平.定性资料的数据结构与分析方法概述[J].四川精神卫生杂志,2019,32(4):289-296.,Overview of the data structure and analysis methods of qualitative data[J].SICHUAN MENTAL HEALTH,2019,32(4):289-296 |
定性资料的数据结构与分析方法概述 |
Overview of the data structure and analysis methods of qualitative data |
投稿时间:2019-08-01 |
DOI:10.11886/j.issn.1007-3256.2019.04.001 |
中文关键词: 定性资料 数据结构 列联表 数据库 差异性分析 回归分析 |
英文关键词:Qualitative data Data structure Contingency table Database Difference analysis Regression analysis |
基金项目:国家高技术研究发展计划课题资助(2015AA020102) |
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中文摘要: |
【摘要】 本文的目的是全面介绍定性资料的数据结构与统计分析方法。从4种不同视角来划分定性资料的数据结构:研究类型与设计类型、定性结果变量的表现、表达资料的形式以及观测点个数。共呈现了7类最常用的处理定性资料的统计分析方法,即广义差异性分析、相关分析、关联分析、聚类分析、判别分析、对数线性模型分析和回归分析。 |
英文摘要: |
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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