Table 2.
Discrimination Type | Parameter | Coefficient Estimate | Standard Error | OR | 95% CI | p-Value |
---|---|---|---|---|---|---|
(1) Anti-Trans log (p/1-p) = a + bx + cy + dw + ez log (p/1-p) = housing + b (anti-trans discrim) + c (gender) + d (age) + e (years in Bay Area) |
a b c d e |
0.57 −0.09 0.23 −0.03 −0.01 |
0.35 0.11 0.17 0.01 0.01 |
-- 0.91 1.25 0.98 0.99 |
-- (0.73, 1.14) (0.89, 1.77) (0.96, 0.99) (0.97, 0.99) |
-- 0.42 0.20 0.01 * 0.04 * |
(2) Racial log (p/1-p) = a + bx + cy + dw + ez log (p/1-p) = housing + b (racial discrim) + c (gender) + d (age) + e (years in Bay Area) |
a b c d e |
0.43 0.04 0.23 −0.03 −0.01 |
0.31 0.26 0.18 0.01 0.01 |
-- 1.03 1.25 0.98 0.99 |
-- (0.63, 1.73) (0.89, 1.77) (0.96, 0.99) (0.97, 0.99) |
-- 0.88 0.19 0.01 * 0.05 |
(3) Intersectional log (p/1-p) = a + bx + cy + dw + ez log (p/1-p) = housing + b (intersectional discrim) + c (gender) + d (age) + e (years in Bay Area) |
a b c d e |
0.30 0.22 0.18 −0.03 −0.01 |
0.32 0.11 0.18 0.01 0.01 |
-- 1.25 1.19 0.98 0.98 |
-- (1.01, 1.54) (0.85, 1.70) (0.96, 0.99) (0.97, 0.99) |
-- 0.03 * 0.31 0.01 * 0.05 |
All models adjust for gender identity, age, and years lived in the Bay Area. OR: Odds Ratio. CI: Confidence Interval. * p < 0.05.