| Hu Chunyan,Hu Liangping,Reasonably carry out mean value comparison： ANOVA of the quantitative data collected from the two-factor factorial design with a block factor[J].SICHUAN MENTAL HEALTH,2023,(S1):1-6 |
| Reasonably carry out mean value comparison： ANOVA of the quantitative data collected from the two-factor factorial design with a block factor |
DOI：10.11886/scjsws20230201001 |
| English keywords:Block factor Factorial design Parametric test Non-parametric test Analysis of variance |
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| The purpose of this article was to introduce 6 basic concepts， calculation methods， a medical experiment example and its SAS implementation related to the mean comparisons. The basic concepts included the parametric test， non-parametric test， preconditions， design types， interaction and the basic ideas of the analysis of variance （ANOVA）. The calculation method involved the t test of the quantitative data of single-factor two-level design， ANOVA of the quantitative data of single-factor multi-level design and factorial design with a block factor. An example of a medical experiment that examined the effects of codeine and acupuncture on postoperative toothache in male subjects. The paper gave the whole process of using SAS software to process the quantitative data in the example， including single-factor analysis， two-factor analysis and three-factor analysis， explained the output results， and the key points of reasonably selecting statistical analysis methods to analyze the differences of the quantitative data were clearly given. |
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