Table 2. Odds Ratios From Logistic Regression Models Predicting Dating.
Variable | Total | Men | Women |
---|---|---|---|
Demographic characteristics | |||
Age (in years) | 0.97a | 0.99 | 0.93** |
Gender (1 = woman) | 0 23*** | ||
Race | |||
White (ref.) | |||
Black | 1.87* | 2.51* | 1.26 |
Other race | 0.72 | 1.48 | 0.15 |
Marital status | |||
Divorced (ref.) | |||
Widowed | 0.58* | 0.64 | 0.44* |
Never married | 0.34** | 0.27** | 0.36 |
Economic resources | |||
College degree | 1.80* | 2.14* | 1.55 |
Employment (1 = working) | 1.10 | 1.22 | 0.94 |
Assets logged | 1.06* | 1.09** | 1.02 |
Health | |||
Comparative health | 1.40* | 1.61** | 1.21 |
Drive | 1.32 | 2.49* | 0.86 |
Social ties | |||
Social connectedness | 1.06* | 1.03 | 1.10* |
Social support | 0.97 | 1.03 | 0.87 |
Goodness-of-fit F test (9, 42) | 568.90*** | 724 47*** | 113.82*** |
N | 1,144 | 356 | 788 |
Note: ref. = reference category.
p < .05.
p < .01.
p < .001.
p = .06.