Table 3.

Coefficient Estimates: Path Analysis for Multivariable Regression of rTL on SWS and Racial Identity

Variables	Centrality				Private regard				Public regard
	B [95% CI]	SE B	β	Power	B [95% CI]	SE B	β	Power	B [95% CI]	SE B	β	Power
SWSstrength	−0.03 [−0.22, 0.15]	0.10	−0.04	0.11	0.03 [−0.13, 0.20]	0.08	.03	.11	0.04 [−0.11, 0.20]	0.08	.05	.18
MIBI	0.08 [−0.01, 0.17]†	0.05	0.18	0.94	0.12 [−0.01, 0.25]†	0.07	.13	.82	−0.12 [−0.21, −0.03] **	0.05	−.23	1.00
SWSemosupp	0.05 [−0.06, 0.15]	0.06	0.08	0.40	0.04 [−0.07, 0.15]	0.06	.06	.28	0.04 [−0.07, 0.14]	0.06	.06	.26
MIBI	0.07 [−0.002, 0.15]†	0.04	0.17	0.97	0.12 [0.001, 0.24]*	0.06	.14	.87	−0.12 [−0.21, −0.03] **	0.05	−.23	1.00
SWSsucceed	0.08 [−0.05, 0.22]	0.07	0.11	0.66	0.09 [−0.04, 0.23]	0.07	.12	.76	0.07 [−0.07, 0.20]	0.07	.09	.49
MIBI	0.06 [−0.02, 0.14]	0.04	0.13	0.85	0.11 [−0.02, 0.23]†	0.06	.12	.76	−0.11 [−0.20, −0.02] *	0.05	−.21	1.00
SWSvuln	0.10 [0.002, 0.19]*	0.05	0.16	0.94	0.10 [0.01, 0.20]*	0.05	.16	.96	0.06 [−0.04, 0.17]	0.05	.10	.61
MIBI	0.06 [−0.01, 0.14]†	0.04	0.14	0.90	0.11 [−0.01, 0.23]†	0.06	.12	.81	−0.10 [−0.20, −0.004] *	0.05	−.19	.99
SWShelp	0.04 [−0.04, 0.11]	0.04	0.09	0.53	0.04 [−0.03, 0.12]	0.04	.10	.61	0.03 [−0.04, 0.10]	0.04	.07	.33
MIBI	0.07 [−0.01, 0.14]†	0.04	0.15	0.92	0.12 [−0.01, 0.24]†	0.06	.13	.84	−0.11 [−0.2, −0.03] *	0.05	−.22	1.00

Notes: rTL = relative telomere length; SWS = Superwoman Schema; MIBI = Multidimensional Inventory of Black Identity; B = unstandardized coefficient; CI = confidence interval; β = standardized coefficient. Bolded numbers indicate that, when the sample size is 500, the proportion of replications for which the null hypothesis that an estimate is equal to zero is rejected at the 0.05 level is above 0.80 (i.e., the estimate is likely to be significant). All models included adjustments for age and poverty.

†p < .10, *p < .05, **p < .01.