Table 2.
Linear Growth Models for Life Satisfaction over Chronological Age and Distance-to-Death.
| Life satisfaction |
||||
|---|---|---|---|---|
| Chronological age |
Distance-to-death |
|||
| Parameter | Estimate | SE | Estimate | SE |
| Fixed effects estimates | ||||
| Intercept1, a00 | 42.10 *** | (0.45) | 42.30 *** | (0.39) |
| Slope2, a01 | − 0.63 *** | (0.04) | − 1.02 *** | (0.05) |
| Random effects estimates | ||||
| Variance intercept | 159.78 *** | (10.82) | 169.76 *** | (8.67) |
| Variance slope | 0.65 *** | (0.08) | 0.93 *** | (0.11) |
| Cov. intercept, slope | 5.21 * | (0.80) | 8.85 *** | (0.90) |
| Residual variance | 107.51 *** | (1.74) | 104.95 *** | (1.70) |
| Number parameters | 6 | 6 | ||
| −2LL | 79,996 | 79,633 | ||
| AIC | 80,008 | 79,645 | ||
Note. Unstandardized estimates and standard errors are presented.
1
Intercept is centered at age 85 for age-based model, or at death for distance-to-death model;
2
Slope or rate of change is scaled in T-units per year. N = 1,637 who provided 10,162 observations. Scores standardized to a T metric (mean = 50; SD = 10) using the entire SOEP longitudinal sample as the reference frame (mean = 7.02, SD = 1.55, see Lucas et al., 2003). AIC = Akaike Information Criterion; −2LL = −2 Log Likelihood, relative model fit statistics. Cov. = Covariance.
*
p < .05,
***
p < .001.