Table 4.

Logistic and ordinary least squares regression analysis identifying correlates of fictive kin network involvement among White Americans, National Survey of American Life (NSAL)

	Model 1		Model 2		Model 3
Variables	Has fictive kin		No. of fictive kin		Receipt of support from fictive kin
	β	SE	β	SE	β	SE
Age	−0.02	0.01	0.00	0.00	0.00	0.00
Female (vs. male)	−0.14	0.16	−0.14	0.08	0.01	0.11
Family income	0.02	0.02	0.00	0.00	−0.01	0.01
Years of education	−0.05	0.04	0.00	0.01	−0.02	0.02
Region (vs. South)
Northeast	−0.06	0.31	−0.07	0.12	0.14	0.07
North Central	0.21	0.32	0.00	0.07	0.05	0.14
West	−0.08	0.31	0.12	0.06	−0.16	0.15
Marital sttatus (vs. married)
Remarried	−0.09	0.49	−0.16	0.12	−0.13	0.17
Cohabiting	0.59	0.5	0.02	0.16	0.67***	0.12
Separated	−0.80*	0.37	−0.36	0.21	−0.05	0.27
Divorced	−0.41	0.3	−0.33**	0.10	−0.19	0.12
Widowed	−0.28	0.39	−0.20	0.20	−0.18	0.17
Never Married	0.72	0.45	0.03	0.12	0.27	0.16
Is a parent	0.41*	0.19	0.25**	0.07	0.23	0.14
Church member contact	0.09	0.07	0.07**	0.02	0.06*	0.02
Family contact	0.07	0.1	0.03	0.03	−0.04	0.04
Family closeness	0.37*	0.18	0.20*	0.07	0.17**	0.05
Friendship contact	0.17*	0.07	0.04	0.02	0.05	0.04
Friendship closeness	0.71***	0.19	0.34***	0.07	0.29**	0.09
Constant	−2.47*	1.08	−0.88	0.36	1.14*	0.39
F			52.08***		181.00**
R2	0.37		0.21		0.17
N	848		849		677

^*p < .05

^**p< .01

^***p < .001

Notes: Data are weighted to account for unequal probabilities of selection, non-response, and post-stratification. Logistic regression was employed in the analysis predicting whether respondents have fictive kin. Ordinary least squares regression analysis was used in the analysis identifying correlates of number of fictive kin and receipt of support from fictive kin. No.=number.