Hu Chunyan,Hu Liangping,How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the randomized complete block design[J].SICHUAN MENTAL HEALTH,2022,35(2):97-102
How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the randomized complete block design
DOI:10.11886/scjsws20220310001
English keywords:Analysis of variance  F test  Quantitative data  Design type  Randomized block design  Interaction
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Author NameAffiliationPostcode
Hu Chunyan Graduate School Academy of Military Sciences PLA China Beijing 100850 China 100850
Hu Liangping* Graduate School Academy of Military Sciences PLA China Beijing 100850 China
Specialty Committee of Clinical Scientific Research Statistics of World Federation of Chinese Medicine Societies Beijing 100029 China 
100029
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English abstract:
      The purpose of this paper was to introduce the model, calculation formulas and the SAS implementation of the univariate analysis of variance for the quantitative data with randomized complete block design. In the calculation, two test statistics were involved, namely FA and FB. Among them, the subscript "A" represented the experimental factor, and the subscript "B" represented the block factor (i.e., the important non-experimental factor). In general, it was assumed that there was no or negligible interaction between the two factors in a randomized block design, so there was no need to assess whether the interaction term was statistically significant. Therefore, it was not necessary to do repeated experiments under each combination of two factors. With the help of SAS software, this paper conducted the analysis of variance for the quantitative data with randomized complete block design for two instances without and with repeated experiments, gave the calculation results, and made the statistical and professional conclusions.
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