Table 3 Multilevel mixed-effects logistic regression models (random intercept models) of the students’ enrolment decision to a master programme.
Model I | Model II | Model III | ||||
|---|---|---|---|---|---|---|
\(\beta\) | \(\exp (\beta )\) | \(\beta\) | \(\exp (\beta )\) | \(\beta\) | \(\exp (\beta )\) | |
Gender (Women) | ||||||
Men | 0.009 | 1.00 | 0.019 | 1.02 | 0.11 | 1.11 |
Age | −0.031 | 0.97 | −0.04 | 0.96 | −0.05 | 0.95 |
Residence area (Urban) | ||||||
Rural | −0.293 | 0.745 | −0.307 | 0.735 | −0.41 | 0.66 |
Grade | 0.272** | 1.31 | 0.275** | 1.32 | 0.33*** | 1.39 |
Father education (Low) | ||||||
Medium | 0.172 | 1.19 | 0.178 | 1.19 | 0.221 | 1.24 |
High | 0.665* | 1.95 | 0.665* | 1.94 | 0.734* | 2.08 |
Subjective income (Easy) | ||||||
With difficulty | 0.213 | 1.23 | 0.227 | 1.25 | 0.23 | 1.26 |
Working contract (Not working) | ||||||
Full-time | 0.954*** | 2.59 | 0.966*** | 2.63 | 1.04*** | 2.83 |
Part-time | 0.364 | 1.44 | 0.367 | 1.44 | 0.38 | 1.47 |
Seniority | −0.202** | 0.82 | −0.210** | 0.81 | −0.2** | 0.81 |
Perceived master degree graduates wage | 0.00014 | 1.00 | 0.00013 | 1.00 | 0.00008 | 1.00 |
Perceived master degree unemployed % | −0.0017 | 0.998 | −0.0023 | 0.997 | −0.0005 | 0.99 |
Field of study (STEM) | ||||||
Non-STEM | −0.683*** | 0.504 | −0.681** | 0.505 | −0.67*** | 0.51 |
University score | 0.051* | 1.05 | 0.062** | 1.06 | 0.07*** | 1.07 |
Enterprises introducing product innovations | −0.52* | 0.594 | −1.07*** | 0.34 | ||
STEM * Enterprises introducing product innovations | 1.00*** | 2.72 | ||||
Constant | 0.636 | 1.88 | 0.801 | 2.228 | 0.861 | 2.36 |
Observations | 476 | 476 | 476 | |||
No. of groups | 5 | 5 | 5 | |||
Log-likelihood | −306.88 | −305.98 | −301.10 | |||
Variance (Constant) | 0.268 | 0.192 | 0.248 | |||
(Intercept variance) (Standard error) | 0.233 | 0.164 | 0.205 | |||
Variance at region levela (%) | 7.53 | 5.51 | 5.86 | |||
LR test | 9.17*** | 8.36*** | 10.53*** | |||
