Research Article
The Influence of Demographic Characteristics on Employee Promotion: Research Based on Data Mining and Game Theory
Table 4
Parameter estimation of the regression model.
| Job level | | | Std. error | Wald | df | Sig. | Exp() | 95% confidence interval for Exp() | Lower bound | Upper bound |
| Promotion | Intercept | -7.751 | 0.353 | 482.015 | 1 | 0.000 | | | | Length of service | 0.039 | 0.009 | 20.729 | 1 | 0.000 | 1.040 | 1.023 | 1.058 | Age | 0.102 | 0.011 | 92.501 | 1 | 0.000 | 1.108 | 1.085 | 1.131 | First degree = below bachelor degree | 0(b) | . | . | 0 | . | . | . | . | First degree = bachelor degree or above | 0.442 | 0.068 | 42.152 | 1 | 0.000 | 1.555 | 1.361 | 1.777 | Gender = female | 0(b) | . | . | 0 | . | . | . | . | Gender = male | 1.252 | 0.064 | 381.902 | 1 | 0.000 | 3.498 | 3.085 | 3.967 | Highest degree = below bachelor degree | 0(b) | . | . | 0 | . | . | . | . | Highest degree = bachelor degree | 1.131 | 0.078 | 211.468 | 1 | 0.000 | 3.097 | 2.660 | 3.607 | Highest degree = master degree or above | 2.749 | 0.148 | 343.395 | 1 | 0.000 | 15.627 | 11.684 | 20.900 |
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