A Short Comment on the use of R_adj^2 in Social Science
It is a common practice to prefer , over to assess the explainability power of a statistical regression model among social scientists, especially for one having more than one independent variables. However, this preference is not advantageous at all times because the usage of may end up in negativ...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | article |
| 語言: | eng |
| 出版: |
2019
|
| 主題: | |
| 在線閱讀: | http://201.159.222.49/index.php/REVISTASANGREGORIO/article/view/890 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
添加標簽 | 總結: | It is a common practice to prefer , over to assess the explainability power of a statistical regression model among social scientists, especially for one having more than one independent variables. However, this preference is not advantageous at all times because the usage of may end up in negative coefficients making them non-interpretable. A Monte Carlo simulation experiment is used to appraise the behavior of these adjusted versions of for different numbers of independent variables. It has been found that almost all of the selected adjusted version of produces negative coefficients. |
|---|