Figure 1
Overview of hypothesized model.
Table 1
Spearman correlations.
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. Sickness absence | – | |||||||||
| 2. Economic obsolescence | .12** | – | ||||||||
| 3. Technical obsolescence | .26** | .53** | – | |||||||
| 4. Job insecurity | –.07 | .32** | .10* | – | ||||||
| 5. Age | –.14** | .17** | .25** | .15** | – | |||||
| 6. Education* | –.17** | –.14** | –.21** | .00 | –0,08 | – | ||||
| 7. Gender* | -.01 | .00 | .10* | –.04 | .09* | –.03 | – | |||
| 8. Organization Tenure | –.11** | .23** | .24** | .10* | .57** | –.16** | –.12** | – | ||
| 9. Job Tenure | .04 | .21** | .27** | .00 | .39** | –.15** | –.17** | .57** | – | |
| 10. Contract type* | –.07 | .17** | .10* | –.00 | .24** | .04 | –.04 | –.41** | .36** | – |
[i] Notes: n = 489. *p < .05. **p < .01. *Gender was coded as 1 for male and 0 for non-binary and female. Education was coded as 1 for higher education and 0 for lower and middle education. Contract type was coded as 1 for fixed contracts and 0 for temporary contracts.
Table 2
(In)direct effects of sickness absence on job insecurity via technical and economic skills obsolescence.
| ECONOMIC SKILLS OBSOLESCENCE | TECHNICAL SKILLS OBSOLESCENCE | JOB INSECURITY | ||||
|---|---|---|---|---|---|---|
| β | SE | β | SE | β | SE | |
| Sickness absence | .10** | .01 | .19** | .01 | –.01 | .02 |
| Economic skills obsolescence | .35** | .09 | ||||
| Technical skills obsolescence | –.08 | .07 | ||||
| Age | .06 | .00 | .12** | .01 | .19** | .01 |
| Gender* | –.05 | .06 | .10 | .08 | –.03 | .10 |
| Education* | –.11** | .06 | –.10** | .08 | .05 | .10 |
| Organization tenure | .10 | .00 | –.02 | .01 | –.02 | .01 |
| Job tenure | .05 | .00 | .18** | .01 | –.10* | .01 |
| Contract type* | –.12** | .11 | .07 | .16 | .04 | .21 |
| Bootstrap indirect effect of Sickness Absence on Job Insecurity via Skills Obsolescence | ||||||
| β | SE | 95% CI | ||||
| Economic skills obsolescence | .07** | .02 | .01–.09 | |||
| Technical skills obsolescence | –.02 | .01 | –.04–.01 | |||
[i] Notes: n = 489. *p < .05. **p < .01. Standardized regression coefficients are reported. Bootstrap sample size = 1000. *Gender was coded as 1 for male and 0 for non-binary and female. Education was coded as 1 for higher education and 0 for lower and middle education. Contract type was coded as 1 for fixed contracts and 0 for temporary contracts.