How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the orthogonal design
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. F...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Sichuan Mental Health
2022-06-01
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| Series: | Sichuan jingshen weisheng |
| Subjects: | |
| Online Access: | http://www.psychjm.net.cn/scjswszzen/ch/reader/view_abstract.aspx?file_no=202203001&flag=1 |
| _version_ | 1797627636099317760 |
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| author | Hu Chunyan Hu Liangping |
| author_facet | Hu Chunyan Hu Liangping |
| author_sort | Hu Chunyan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T10:27:09Z |
| format | Article |
| id | doaj.art-e98a2958dd4b4c24a390b835f89d25c3 |
| institution | Directory Open Access Journal |
| issn | 1007-3256 |
| language | zho |
| last_indexed | 2024-03-11T10:27:09Z |
| publishDate | 2022-06-01 |
| publisher | Editorial Office of Sichuan Mental Health |
| record_format | Article |
| series | Sichuan jingshen weisheng |
| spelling | doaj.art-e98a2958dd4b4c24a390b835f89d25c32023-11-15T12:28:00ZzhoEditorial Office of Sichuan Mental HealthSichuan jingshen weisheng1007-32562022-06-0135320120610.11886/scjsws202205100041007-3256（2022）03-0201-06How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the orthogonal designHu Chunyan0Hu Liangping1Graduate School， Academy of Military Sciences PLA China， Beijing 100850， ChinaGraduate School， Academy of Military Sciences PLA China， Beijing 100850， ChinaThe 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.http://www.psychjm.net.cn/scjswszzen/ch/reader/view_abstract.aspx?file_no=202203001&flag=1orthogonal designexperimental pointoptimal level combinationanalysis of variancef distribution |
| spellingShingle | Hu Chunyan Hu Liangping How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the orthogonal design Sichuan jingshen weisheng orthogonal design experimental point optimal level combination analysis of variance f distribution |
| title | How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the orthogonal design |
| title_full | How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the orthogonal design |
| title_fullStr | How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the orthogonal design |
| title_full_unstemmed | How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the orthogonal design |
| title_short | How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the orthogonal design |
| title_sort | how to use analysis of variance correctly an analysis of variance for the univariate quantitative data collected from the orthogonal design |
| topic | orthogonal design experimental point optimal level combination analysis of variance f distribution |
| url | http://www.psychjm.net.cn/scjswszzen/ch/reader/view_abstract.aspx?file_no=202203001&flag=1 |
| work_keys_str_mv | AT huchunyan howtouseanalysisofvariancecorrectlyananalysisofvariancefortheunivariatequantitativedatacollectedfromtheorthogonaldesign AT huliangping howtouseanalysisofvariancecorrectlyananalysisofvariancefortheunivariatequantitativedatacollectedfromtheorthogonaldesign |