Table 3.
Odds Ratios (ORs) from Bivariate and Multivariate Logistic Regression Predicting a Successful Childhood Census Match (N = 1,137)a
| Bivariate OR | Multivariate OR | |
|---|---|---|
| Proband (sibling) | 1.03 [0.80, 1.34] | 0.84 [0.63, 1.12] |
| Age at interview | 1.02 [0.98, 1.07] | 0.98 [0.92, 1.04] |
| Sex (male) | 0.94 [0.64, 1.38] | 1.10 [0.73, 1.66] |
| Educational attainment (<high school) | ||
| High school graduate/GED | 1.63 [0.93, 2.86] | 1.52 [0.87, 2.65] |
| Some college/technical training | 2.24 [1.22, 4.12] | 2.17 [1.20, 3.95] |
| 4-year college degree or above | 3.31 [1.68, 6.49] | 3.05 [1.55, 5.99] |
| Region of birth (NJ, NY, or PA) | ||
| New England | 1.19 [0.61, 2.32] | 1.24 [0.63, 2.44] |
| Other U.S. states | 2.28 [1.01, 5.13] | 2.26 [0.98, 5.22] |
| Foreign born | 0.20 [0.08, 0.47] | 0.19 [0.08, 0.45] |
| Number of possible censuses (one) | ||
| Two or more | 1.86 [1.20, 2.88] | 3.18 [1.58, 6.40] |
| Wald χ2 (10) | 53.59 | |
Notes: aFour cases with missing educational attainment and one case with missing region at birth were dropped from this analysis. The value in parentheses indicates the reference group. The 95% CI is given in parentheses.