教育科研中,常遇到一些等级分组资料,须要作对照比较。诸如好、较好、一般、差;提高、无变化、退步;超过、到达、接近到达、远离到达等。这些资料通常应列成2×C 表或 r×C 表,用 X检验来分析。但 X~2检验仅能说明各组的构成比情况,不能说明谁优谁劣;而 Ridit 分析法则能将计量资料分组化成计数资料处理,也可分析诸如师生比>1:20、<1:10等数字不明确的分组资料,现举实例简介如下:(一)、两组平均 Ridit(~-R)差别显著性检验方法 Education and research, often encounter some hierarchical grouping data, need to make comparison and comparison. Such as good, good, fair, poor; improve, no change, regress; over, arrive, close to reach, away from arrival. These data should usually be classified as 2 × C or r × C table, with the X test to analyze. However, X ~ 2 test can only explain the composition ratio of each group, which can not explain who is superior and inferior; and Ridit analysis can divide the measurement data into count data processing, but also analysis such as teacher-student ratio> 1:20, <1 : 10 and other numbers are not clear grouping information, are examples of examples are as follows: (a), two groups of average Ridit (~ -R) difference between the significance of test methods