Table 4.
Multilevel estimates for models predicting daily cortisol levels right after finishing work.
| Variable | Null model | Model 1 | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|---|---|
| Coefficient | t | Coefficient | t | Coefficient | t | Coefficient | t | |
| Intercept | 1.127 (0.06) | 19.18*** | 1.136 (0.06) | 19.91*** | 1.136 (0.06) | 19.9*** | 1.102 (0.06) | 19.13*** |
| Age | −0.009 (0.01) | −1.26 | −0.009 (0.01) | −1.26 | −0.010 (0.01) | −1.40 | ||
| Gendera | −0.040 (0.12) | −0.34 | −0.040 (0.12) | −0.34 | −0.003 (0.12) | −0.02 | ||
| Job tenure | 0.010 (0.01) | 1.08 | 0.010 (0.01) | 1.08 | 0.016 (0.01) | 1.73 | ||
| Educationb | 0.131 (0.08) | 1.70 | 0.131 (0.08) | 1.70 | 0.145 (0.08) | 1.91 | ||
| Smokingc | 0.174 (0.14) | 1.28 | 0.174 (0.14) | 1.28 | 0.268 (0.14) | 1.93 | ||
| Exercisec | −0.003 (0.14) | −0.03 | −0.003 (0.14) | −0.03 | 0.065 (0.14) | 0.48 | ||
| BMI | 0.013 (0.01) | 0.88 | 0.013 (0.01) | 0.88 | 0.028 (0.02) | 1.79 | ||
| Negative work events | −0.022 (0.07) | −0.31 | 0.063 (0.07) | 0.85 | ||||
| Time of waking | −0.045 (0.02) | −2.44* | ||||||
| −2 log likelihood (FIML) | 351.55 | 346.63 | 346.53 | 269.45 | ||||
| Δ−2 log likelihood | 4.92 | 0.10 | 77.08*** | |||||
| Number of estimated parameter | 3 | 10 | 11 | 12 | ||||
The number of daily observations ranged from 167 to 192, nested within 67 to 75 individuals. Coefficients are unstandardized estimates of regression coefficients. Standard errors appear in parentheses. FIML, full information maximum likelihood estimation.
a
Gender is coded as 0, male; 1, female.
b
Education is coded as 1, no formal education; 2, professional training; 3, higher professional training; 4, university degree.
c
Smoking and exercise are coded as 0, no; 1, yes.
*
p < 0.05,
***
p < 0.001.