Table 3.

Results of the Logistic Regression Models Predicting Sexual Abuse.

	Sexual Abuse Past Year				Sexual Abuse Lifetime
	Nagelkerke R2 = .05				Nagelkerke R2 = .05
	B	SE	p	Odds Ratio	B	SE	p	Odds Ratio
Age	−.12	.09	.168	0.89	−.02	.06	.786	0.98
Gender	.68	.27	.011	1.98	.65	.19	.001	1.92*
Ethnic minority	.53	.37	.151	1.69	.55	.27	.046	1.73
Number of children in family	.48	.56	.392	1.62	.93	.42	.026	2.55
Single parenta	.59	.41	.146	1.81	.75	.29	.009	2.12*
Parental unemployment	.20	.23	.383	1.22	.24	.17	.153	1.27
Low social economic status	.02	.03	.459	1.02	.01	.02	.551	1.01
Father war veteran	−.10	.30	.727	0.90	−.17	.21	.406	0.84

Note. Gender (0 = girls, 1 = boys).

^aSingle parent families vs. two-parent families; we also conducted the logistic regression with single parent families versus all other families and the results are similar (sexual abuse past year: odds ratio = 2.06, p = .072; sexual abuse lifetime: odds ratio = 2.32, p = .003).

^*p < .01.