Table 2.

Bivariate Correlations between Factors

	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)	(10)	(11)	(12)	(13)
(1) Bisexual
(2) Non-Hispanic White	—
(3) Gender: Male	—	.03
(4) Gender: Other	—	−.24**	—
(5) Age	−.03	.08**	.18**	−.04†
(6) Internalized stigma	.14**	−.03	.14**	.02	.06**
(7) Identity disclosure	−.15**	.03	−.08**	−.03	−.25**	−.24**
(8) Community belonging	−.05*	.02	−.09**	−.01	−.09**	−.44**	.16**
(9) Social support	−.07**	.08**	−.14**	−.01	−.06**	−.27**	.22**	.21**
(10) Social network size	.02	.05*	−.10**	−.02	−.09**	−.12**	.16**	.19**	.26**
(11) Educational level	−.03	.09**	−.05**	.00	−.06**	−.04*	.11**	.01	.15**	.14**
(12) Income	−.11**	.11**	−.03	−.03	−.17**	−.09**	.15**	.05*	.37**	.20**	.37**
(13) Mental health	−.08**	−.09**	.02	−.03	−.00	−.19**	.06**	.14**	.35**	.23**	.17**	.29**
(14) Physical health	−.05**	.05*	.08**	−.03	−.11**	−.10**	.04*	.07**	.17**	.12**	.17**	.29**	.65**

Notes: Factors (1)–(4) are binary and (5)–(14) are continuous. Correlation coefficients between a binary and a continuous variable are calculated with point-biserial correlation; correlation coefficients between two binary variables are calculated with tetrachoric correlation.

^† p < .1. *p < .05. **p < .01.