How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the orthogonal design / 四川精神卫生
Sichuan Mental Health
; (6): 201-206, 2022.
Article
en Zh
| WPRIM
| ID: wpr-987404
Biblioteca responsable:
WPRO
ABSTRACT
The purpose of this paper was to introduce the orthogonal design and its quantitative data analysis of variance and the SAS implementation. From the perspective of degrees of freedom， the orthogonal design could be divided into the saturated orthogonal design and the unsaturated orthogonal design. From the perspective of the number of factor levels， the orthogonal design could be divided into the same level orthogonal design and the mixed level orthogonal design. From the perspective of normalization， the orthogonal design could also be divided into the standard orthogonal design and the non-standard orthogonal design. Quantitative data from the standard orthogonal designs could be analyzed by the conventional methods， while quantitative data from the non-standard orthogonal designs needed to be improved. Based on three examples， this paper realized the quantitative data analysis of variance with the standard orthogonal design without repeated experiments and with repeated experiments by means of the SAS software.
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Base de datos:
WPRIM
Idioma:
Zh
Revista:
Sichuan Mental Health
Año:
2022
Tipo del documento:
Article