Table 3.
Multiple linear regression model with all variables.
| Variables | Unstandardized Coefficient | Standardized Coefficient | t | p-value | Correlation | Collinearity Statistics | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| B | SE | Beta | Zero-order | Partial | Part | Tolerance | VIF | |||
| Intercept | 1.02 | 0.44 | 2.34 | 0.020 | ||||||
| Age | 0.15 | 0.05 | 0.14** | 3.19 | 0.002 | 0.17 | 0.16 | 0.13 | 0.85 | 1.18 |
| Marital status | 0.08 | 0.13 | 0.03 | 0.64 | 0.524 | 0.03 | 0.03 | 0.03 | 0.96 | 1.04 |
| Educational attainment | 0.14 | 0.05 | 0.11* | 2.56 | 0.011 | 0.14 | 0.13 | 0.11 | 0.87 | 1.15 |
| Monthly household income | −0.13 | 0.04 | −0.14** | −2.94 | 0.003 | −0.11 | −0.15 | −0.12 | 0.83 | 1.21 |
| Number of children | −0.07 | 0.04 | −0.07 | −1.53 | 0.126 | −0.10 | −0.08 | −0.06 | 0.80 | 1.25 |
| Years of working | 0.07 | 0.05 | 0.06 | 1.36 | 0.174 | 0.06 | 0.07 | 0.06 | 0.85 | 1.18 |
| Technical field 1 | 0.10 | 0.26 | 0.02 | 0.38 | 0.701 | 0.04 | 0.02 | 0.02 | 0.98 | 1.02 |
| Technical field 2 | −0.03 | 0.14 | −0.01 | −0.24 | 0.814 | −0.04 | −0.01 | −0.01 | 0.93 | 1.07 |
| Technical field 3 | −0.04 | 0.10 | −0.02 | −0.42 | 0.674 | −0.07 | −0.02 | −0.02 | 0.95 | 1.05 |
| JA | 0.91 | 0.09 | 0.47*** | 10.78 | 0.000 | 0.53 | 0.48 | 0.45 | 0.89 | 1.12 |
| OI | 0.03 | 0.03 | 0.05 | 1.15 | 0.250 | 0.19 | 0.06 | 0.05 | 0.92 | 1.09 |
***p < 0.001; **p < 0.01; *p < 0.05; SE: Standard Error; VIF: Variance Inflation Factor; JA: Job autonomy; OI: Organizational identification; Technical field 1: Clinical medicine; Technical field 2: Nursing; Technical field 3: Public health and management.