Table 4.
Hierarchical regression analysis results of variables.
| Model 1: WWB |
Model 2: ILW |
Model 3: WWB |
Model 4: ILW |
Model 5: ILW |
|
|---|---|---|---|---|---|
| Gender | 0.01 (0.858) |
0.13 (0.023) |
−0.046 (0.292) |
0.12 (0.024) |
0.08 (0.156) |
| Education level | −0.09 (0.106) |
−0.11 (0.056) |
−0.04 (0.437) |
−0.10 (0.075) |
−0.13 (0.026) |
| Age | 0.036 (0.491) |
−0.03 (0.611) |
0.05 (0.285) |
−0.02 (0.675) |
−0.02 (0.665) |
| AI opportunity perception | 0.61 (0.000) |
0.45 (0.000) |
0.41 (0.000) |
0.54 (0.000) |
0.73 (0.000) |
| ILW | 0.44 (0.000) |
||||
| URP | 0.14 (0.041) |
0.05 (0.470) |
|||
| URP × AI opportunity perception | −0.35 (0.000) |
||||
| R2 | 0.36 (0.000) |
0.23 (0.000) |
0.52 (0.000) |
0.24 (0.000) |
0.22 (0.000) |
| F | 37.54 | 19.494 | 55.54 | 16.628 | 18.246 |
Note: p values are in parenthesis.