Table 3. Hierarchical regression analysis: predicting mobile phone usage while driving.
| Steps and predictors | Make call (β) | Answer call (β) | Send message (β) | Read message (β) |
|---|---|---|---|---|
| 1. age group | -.24** | -.18* | -.19* | -.14 |
| gender | -.07 | .07 | -.11 | -.11 |
| driving age | .14 | .15 | -.03 | -.07 |
| R2 | .057 | .048 | .043 | .036 |
| F (3, 136) | 2.76* | 2.31 | 2.03 | 1.68 |
| 2. age group | -.13 | -.11 | -.09 | -.05 |
| gender | -.04 | .09 | -.08 | -.08 |
| driving age | .06 | .10 | -.11 | -.15 |
| safe compensatory beliefs | .55*** | .33*** | .54*** | .51*** |
| R2 | .350 | .153 | .319 | .284 |
| △R2 | .293 | .105 | .276 | .248 |
| F change (1, 135) | 60.80*** | 16.70*** | 54.71*** | 46.77*** |
| 3. age group | -.03 | -.04 | .03 | .03 |
| gender | -.01 | .11 | -.05 | -.07 |
| driving age | .03 | .08 | -.15* | -.17* |
| safe compensatory beliefs | .22* | .08 | .16 | .28** |
| general compensatory beliefs | .50*** | .38** | .57*** | .35** |
| R2 | .471 | .223 | .477 | .342 |
| △R2 | .121 | .070 | .158 | .058 |
| F change (1, 134) | 30.55*** | 12.00** | 40.54*** | 11.74** |
* p < 0.001;
** p < 0.01;
*** p < 0.05.