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教学满意度分析中基于有序分类变量资料和无序多分类变量资料的常用统计分析方法的选择
Selection of Frequently-used Statistical Analysis Methods based on Ordinal Categorical Variable Data and Unordered Multi-categorical Variable Data in Analysis of Teaching Satisfaction Degree
【摘要】 教学满意度分析中基于有序分类变量资料和无序多分类变量资料的常用统计分析方法有:卡方检验、秩和检验、简单对应分析、多元对应分析、有序Logistic回归分析、最优尺度回归分析等,选择统计分析方法时要考虑因素的数量、变量的数量、分析目的、统计分析方法的前提条件等。对于较难理解的有序分类变量资料的统计分析方法的选择,本论文采用典型案例分析的方法进行了深入浅出地讲解。
【Abstract】 In teaching satisfaction analysis, frequently-used statistical analysis methods based on ordinal categorical variable data and unordered multi-categorical variable data included chi-square test, rank-sum test, simple correspondence analysis, multiple correspondence analysis, ordinal logistic regression analysis, optimal scaling regression analysis.Number of factors, number of variables, analysis aim, precondition of data analysis method would be supposed to be considered before selecting statistical analysis methods.It is difficult to understand how to choose statistical analysis methods based on ordinal categorical variable data.In view of this, profound theories in simple language were explained based on typical cases in this paper.
【Key words】 ordinal logistic regression analysis; simple correspondence analysis; rank-sum test; optimal scaling regression analysis; multiple correspondence analysis;
- 【文献出处】 宜春学院学报 ,Journal of Yichun University , 编辑部邮箱 ,2026年04期
- 【分类号】O212.1;G642
- 【下载频次】15