Table 3. Logistic Regressions Predicting Gay Collective Identity (N =301).

Primary Analysis: Hierarchical Logistic Set Regression
Sets and Included Variables	2 log L	Model χ2		Change in -2 log L
Step 1: Demographic set Age, Education	803.3	χ2 (2) = 20.71****
Step 2: Region of birth set South America, Central America & Mexico, Caribbean	795.7	χ2 (5) = 27.83****		7.6
Step 3: Gender nonconformity set Gender nonconformity	781.8	χ2 (6) = 40.74****		13.9****
Step 4: Discrimination set Gay discrimination, Ethnic discrimination)	767.3	χ2 (8) = 52.63****		14.5***
Follow-Up Analysis: Simultaneous Logistic Regression
Variable	Coefficient	Wald X2	Adjusted Odds Ratio	95% C.I.
Intercept 4	−2.89	16.53****
Intercept 3	−1.86	7.08**
Intercept 2	−0.52	0.56
Age	−0.03	4.34*	0.98	0.95 – 1.00
Education	0.79	12.15***	2.20	1.41 – 3.43
Born in South America	0.65	2.78	1.91	0.89 – 4.11
Born in Central America or Mexico	0.36	0.82	1.44	0.65 – 3.17
Born in Caribbean	0.05	0.02	1.05	0.49 – 2.27
Gender nonconformity	0.36	8.03**	1.44	1.12 – 1.84
Gay discrimination	0.83	15.04****	2.28	1.50 – 3.47
Ethnic discrimination	−0.46	7.16**	0.63	0.45 – 0.89

^*p < .05;

^**p < .01,

^***p < .001;

^****p < .0001

Note: Odds0 Ratios are the effect sizes in logistic regression.