Table 5.
Men | Women | |||||
---|---|---|---|---|---|---|
B | St. Err. | Sig | B | St. Err. | Sig | |
Live Birthsa | ||||||
Years Father Alive | 0.003 | 0.053 | 0.956 | −0.008 | 0.045 | 0.862 |
Age (Max 50) | 0.244 | 0.015 | <0.001 | 0.239 | 0.012 | <0.001 |
Community | — | — | 0.035 | — | — | 0.026 |
Surviving Childrenb | ||||||
Years Father Alive | −0.014 | 0.046 | 0.756 | −0.006 | 0.042 | 0.882 |
Age (Max 50) | 0.198 | 0.013 | <0.001 | 0.197 | 0.011 | <0.001 |
Community | — | — | 0.020 | — | — | 0.001 |
For men, N=469, Model R2=0.389, p<0.001, sensitivity for Years Father Alive (power of 0.8) f2=0.017; for women, N=457, Model R2=0.492, P<.001, sensitivity for Years Father Alive (power=0.8) f2=0.016.
For men, N=469, Model R2=0.356, P<0.001, sensitivity for Years Father Alive (power of 0.8) f2=0.017; for women, N=457, Model R2=0.445, P<0.001, sensitivity for Years Father Alive (power=0.8) f2=0.016.
All individuals who were age 50 or over were assigned the age of 50. Ages over 50 accounted for less than 1% of the overall variance. While an age-squared term was significant for women, it was not for men. Its overall contribution to explaining variance was minimal, so it was excluded in final models to simplify interpretation.