Table 3.
Hierarchical Linear Model Predicting Age Identity
| Fixed effectsa | ||
| Age | −0.16 | (0.03)*** |
| Female | −0.48 | (0.37) |
| Nonwhite | −1.63 | (0.45)*** |
| Married | 0.44 | (0.33) |
| Homeowner | 0.76 | (0.36)* |
| Education | 0.03 | (0.05) |
| Self-rated healthb | −1.61 | (0.13)*** |
| Physical capacityb | −0.34 | (0.05)*** |
| Everyday body problems | 0.66 | (0.07)*** |
| Body repairs (surgeries) | −0.02 | (0.17) |
| Body repairs (medications) | 0.24 | (0.12)* |
| Body aids | 0.21 | (0.11)† |
| Random effectsc | ||
| Self-rated health | 2.89 | (0.30) |
| Physical capacity | 1.02 | (0.11) |
| Everyday body problems | 1.12 | (0.23) |
| Body repairs (medications) | 2.02 | (0.29) |
| Body aids | 1.93 | (0.36) |
Note. National Health and Aging Trends Study (2011–2015); n = 17,539 from 4,373 respondents.
aUnstandardized coefficients (robust standard errors).
bHigher values = better health or functioning.
cEstimated standard deviations (robust standard errors).
† p < .10. *p < .05. **p < .01. ***p < .001.