| Hu Chunyan,Hu Liangping,Reasonably carry out mean value comparison： MANOVA of the quantitative data collected from the randomized block design[J].SICHUAN MENTAL HEALTH,2023,36(S1):37-41 |
| Reasonably carry out mean value comparison： MANOVA of the quantitative data collected from the randomized block design |
DOI：10.11886/scjsws20230319003 |
| English keywords:Block factor Randomizedblock design Balanced incomplete block design One-way analysis of variance Multivariate analysis of variance |
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| The purpose of this article was to introduce the basic concepts， calculation methods， an example and SAS implementation related to the randomized block design quantitative data multivariate analysis of variance （MANOVA）. Basic concepts included block factors， how to select block factors， randomized block design and incomplete randomized block design. Calculation methods involved the general statistics and test statistics. The example involved long-term feeding of high-zinc diets animal experiments and multivariate quantitative data on the effect on the immune function of weaned piglets. With the help of SAS software， the one-way analysis of variance （ANOVA） and MANOVA for the quantitative data in the randomized block design were realized. And it was discussed that when the influence of block factors on the results was not statistically significant， the reasonable statistical analysis method was to directly use single factor multilevel design quantitative data univariate and multivariate ANOVA without considering block factor. |
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