Table 2.

Correlation matrix by gender

	1	2	3	4	5	6	7	8	9	10	11
1. Life stressa	-	.640	.400	.334	−.216	.083	−.108	−.023	.079	−.048	−.091
2. Psychological distressa	.530	-	.827	.521	−.337	.129	−.168	.118	−.174	−.102	−.296
3. Avoidant copingb	.278	.520	-	.531**	−.309*	.305**	−.211	.013	−.082	.041	−.122
4. Drug usec	.099	.186	.068	-	−.324	.283	−.140	.299	.076	−.418*	−.309
5. Optimal adherencec	−.019	−.035	.234*	−.164	-	−.426**	.555**	.252	.004	.238	−.153
6. Ln Viral Loadb	.005	.010	−.083	−.095	−.313*	-	−.384**	.110	−.063	−.017	.073
7. CD4b	−.010	−.019	.216*	−.119	.457**	−.370**	-	.268	−.098	.143	.183
8. African Americanc	−.043	.122	.217	−.333	−.275	.061	−.102	-	.028	.138	−.204
9. Years educationb	−.140	.065	−.135	.018	.101	.060	−.065	−.174	-	.165	.051
10. Sexual orientationd	.151	−.015	−.095	.096	.123	−.043	−.217	.273	−.275*	-	.335*
11. Years with HIVb	−.093	−.018	−.098	−.045	−.238	−.060	.099	.096	−.021	−.258*	-

Note. Correlations coefficients are shown for males and females separately; coefficients for females (n = 94) appear above the diagonal, and males (n = 112) appear below the diagonal.

Due to the categorical/continuous variable (CVM) methodology utilized in this analysis, correlations differ in type. Types include: Pearson (for categorical variable pairs), tetrachoric (for dichotomous variable pairs), polychoric (for dichotomous/trichotomous pairs), biserial (for dichotomous/continuous pairs), or polyserial (for trichotomous/continuous pairs). For correlations with latent variables, significance level cannot be calculated in Mplus v6 (L. K. Muthen, 2012).

^aLatent variable.

^bContinuous variable.

^cDichotomous variable.

^dTrichotomous variable.

^*p < .05.

^**p < .01