统计分析基础之方差分析ANOVA

1）SPSS One-Way ANOVA Tutorial

2）One-way ANOVA

3）Repeated Measures ANOVA

4）什么是ANOVA

5）https://libguides.library.kent.edu/SPSS/OneWayANOVA

5) ARTool  Align-and-rank data for a nonparametric ANOVA

http://depts.washington.edu/madlab/proj/art/index.html

 

以下笔记来源于《Statistics for the Behavioral Sciences 10e》

Analysis of variance (ANOVA) is a hypothesis-testing procedure that is used to evaluate mean differences between two or more treatments (or populations).
 

It may appear that ANOVA and t tests are simply two different ways of doing exactly the same job: testing for mean differences. In some respects, this is true—both tests use sample data to test hypotheses about population means. However, ANOVA has a tremendous advantage over t tests. Specifcally, t tests are limited to situations in which there are only two treatments to compare. The major advantage of ANOVA is that it can be used to compare two or more treatments. Thus, ANOVA provides researchers with much greater flexibility in designing experiments and interpreting results.