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教育科研中经常需要比较下面这种类型的几个样本之间有无差异的问题。这几个样本中的数据按水平分为若干等级,每个等级中的数据是计次的。例如: 我们称这样的数据资料为“等级资料”。每一行称为一个“样本”,每一列称为一个“水平”。本文介绍用“Ridit”分析法对等级资料样本间的差异性进行分析的过程。 表二用百分数表示出各层次学校的成绩统计情况。
Education and research often need to compare the following types of several samples of whether there is any difference between the problems. The data in these samples are divided into several levels by level, and the data in each level is counted. For example: We call this data “rating data.” Each row is called a “sample” and each column is called a “horizontal”. This article describes the process of using Ridit analysis to analyze the differences between hierarchical sample data. Table 2 shows the performance statistics of schools at all levels in percentage terms.