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Sichuan Mental Health ; (6): 207-211, 2022.
Artigo em Chinês | WPRIM | ID: wpr-987405

RESUMO

The purpose of this paper was to introduce the factorial design and its quantitative data analysis of variance and the SAS implementation. Factorial design could not only present the main effect magnitude of all experimental factors, but also comprehensively reflected the size of each-order interaction effect among multiple factors. However, this design required a large sample size. This paper introduced the calculation formulas of the analysis of variance for quantitative data with two-factor factorial design, and realized the analysis of variance for quantitative data with two-factor and three-factor factorial design through two examples with the help of SAS software, and multiple comparisons of interaction effects were also performed.

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