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How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the nested design / 四川精神卫生
Sichuan Mental Health ; (6): 217-222, 2022.
Article in Chinese | WPRIM | ID: wpr-987407
ABSTRACT
The purpose of this paper was to introduce the nested design and its quantitative data analysis of variance and the SAS implementation. If one of the following two characteristics existed in a specific experimental study, a nested design could be considered to arrange the experiment. Firstly, there was a nested relationship between factors in natural attributes. Secondly, with professional knowledge as the basis, the impact of each factor on the quantitative observation results was divided into primary and secondary. The first feature mentioned above meant that the factors related to the subjects had the conditions for grouping and regrouping. The second feature mentioned above meant that the status of each factor was unequal. In the variance analysis of quantitative data, the calculation formulas of variable error mean square was required to use. Based on four examples and with the help of the SAS software, this paper implemented the univariate analysis of variance for the quantitative data of the nested design, and gave the detailed explanations for the output results of SAS software.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Sichuan Mental Health Year: 2022 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Sichuan Mental Health Year: 2022 Type: Article