Hypotheses testing through bootstrapping method
| Model 1 | Model 2 | Model 3 | Model 4 | |||||
|---|---|---|---|---|---|---|---|---|
| Predictor | Total effect | Direct effect | Direct effect | Direct effect | ||||
| (OIA) | (SCP) | (SP) | (OIA) | |||||
| C | t | Β | t | Β | t | B | t | |
| SC | −0.27 | −7.49** | 0.53 | 9.42** | 0.34 | 5.35** | −0.13 | −4.72* |
| SCP | – | – | – | – | 0.54 | 11.67** | −0.23 | −8.23** |
| SP | – | – | – | – | – | – | −0.21 | −4.22** |
| R2 | 0.27 | – | 0.31 | – | 0.28 | – | 0.39 | – |
| F | 34.43** | – | 49.25** | – | 41.96** | – | 64.21** | – |
| Model 1 | Model 2 | Model 3 | Model 4 | |||||
|---|---|---|---|---|---|---|---|---|
| Predictor | Total effect | Direct effect | Direct effect | Direct effect | ||||
| (OIA) | (SCP) | (SP) | (OIA) | |||||
| SC | −0.27 | −7.49 | 0.53 | 9.42 | 0.34 | 5.35 | −0.13 | −4.72 |
| SCP | – | – | – | – | 0.54 | 11.67 | −0.23 | −8.23 |
| SP | – | – | – | – | – | – | −0.21 | −4.22 |
| 0.27 | – | 0.31 | – | 0.28 | – | 0.39 | – | |
| 34.43 | – | 49.25 | – | 41.96 | – | 64.21 | – | |
Notes:
Each column is a regression model that predicts the criterion at the top of the column.
p < 0.05,
p <* 0.01, N = 217, bootstrapping at 5,000
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