Model summary of hierarchical linear regression with OI as the dependent variable
| Model | Men | Women | ||||||
|---|---|---|---|---|---|---|---|---|
| R | R square | R square change | Std. Error of the estimate | R | R square | R square change | Std. Error of the estimate | |
| 1 | 0.492a | 0.242 | 0.242 | 1.270 | 0.604a | 0.365 | 0.365 | 1.287 |
| 2 | 0.605b | 0.367 | 0.124 | 1.168 | 0.629b | 0.396 | 0.030 | 1.267 |
| Model | Men | Women | ||||||
|---|---|---|---|---|---|---|---|---|
| Std. Error of the estimate | Std. Error of the estimate | |||||||
| 1 | 0.492a | 0.242 | 0.242 | 1.270 | 0.604a | 0.365 | 0.365 | 1.287 |
| 2 | 0.605b | 0.367 | 0.124 | 1.168 | 0.629b | 0.396 | 0.030 | 1.267 |
Note(s): a. Predictors: (Constant), SNS
b. Predictors: (Constant), SNS, INNO, ES, PEU
Source(s): Authors' own creation
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