Table 4.
Bivariate Correlations
| Variables | (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) |
|---|---|---|---|---|---|---|---|---|
| (1) Age | 1.000 | |||||||
| (2) Female | 0.157*** | 1.000 | ||||||
| (0.000) | ||||||||
| (3) Court experience | 0.162*** | − 0.059* | 1.000 | |||||
| (0.000) | (0.058) | |||||||
| (4) Legal profession | − 0.201*** | − 0.163*** | 0.375*** | 1.000 | ||||
| (0.000) | (0.000) | (0.000) | ||||||
| (5) Trust in legal tech | − 0.173*** | − 0.028 | − 0.082*** | − 0.053* | 1.000 | |||
| (0.000) | (0.371) | (0.008) | (0.081) | |||||
| (6) Relative advantage | − 0.180*** | 0.102*** | − 0.083*** | − 0.075** | 0.810*** | 1.000 | ||
| (0.000) | (0.001) | (0.007) | (0.015) | (0.000) | ||||
| (7) Personal innov | − 0.267*** | − 0.064** | 0.089*** | 0.097*** | 0.333*** | 0.377*** | 1.000 | |
| (0.000) | (0.037) | (0.003) | (0.002) | (0.000) | (0.000) | |||
| (8) Compatibility | − 0.178*** | 0.049 | 0.000 | 0.029 | 0.825*** | 0.859*** | 0.393*** | 1.000 |
| (0.000) | (0.111) | (0.988) | (0.344) | (0.000) | (0.000) | (0.000) |
This table presents bivariate (pairwise) correlations between the independent variables used in the analysis. *** p < 0.01, ** p < 0.05, * p < 0.1