Table 2.

Statistics for Binary Logistic Regression Assessing Prospective Prediction of Divorce

	B	SE	Wald	Odds Ratio Exp (B)	CI (95%)
ASD
Constant	2.69	1.71	2.49	14.76	---------
Mother
Education	−0.06	0.27	0.05	1.06	0.63 – 1.80
Race/ethnicity	−0.07	0.52	0.02	0.93	0.33 – 2.56
Age had child	−0.11	0.03	12.94**	0.90	0.85 – 0.95
Child
Sex	0.58	0.31	3.41	1.78	0.97 – 3.27
Birth order	0.82	0.31	7.19**	0.44	0.24 – 0.80
Family size	−0.49	0.45	1.15	1.63	0.67 – 3.95
ID	0.33	0.30	1.19	0.72	0.40 – 1.30
Age first noticed problems	−0.01	0.01	0.90	0.99	0.97 – 1.01
ADI-R lifetime	0.02	0.02	0.80	0.98	0.94 – 1.02
Siblings with an ASD	0.17	0.85	0.04	1.18	0.23 – 6.19
No Disability
Constant	−1.50	1.20	1.57	0.22	---------
Mother
Education	−0.56	0.34	2.68	1.74	0.84 – 3.08
Race/ethnicity	−0.93	0.49	3.63	2.53	0.97 – 6.55
Age had child	−0.04	0.03	1.64	0.96	0.89 – 1.01
Child
Sex	0.71	0.41	2.99	2.03	0.91 – 4.52
Birth order	−0.06	0.36	0.02	0.95	0.47 – 1.90
Family size	0.31	0.60	0.27	0.73	0.23 – 2.38
ID	------	------	------	------	------
Age first noticed problems	------	------	------	------	------
ADI-R lifetime	------	------	------	------	------
Siblings with an ASD	------	------	------	------	------

Note.

^*P ≤ .05,

^**P ≤ .01.

ASD: overall χ² (n =382, df = 8) = 23.90, p =.01, Nagelkerke R² = 0.09. + P ≤ .10. No ASD: χ² (n =385, df = 5) = 15.46, p =.02, Nagelkerke R² = 0.07. Education: Less than a college degree = 0, College degree or more = 1. Race/ethnicity: White, non-Hispanic = 0, other = 1. Child Sex: Females = 0, Males = 1. Birth order: First born = 0, Later born = 1. Family Size: Single child = 0, Multiple children = 1. ID: No ID = 0, ID = 1. Siblings with ASD: No = 0, Yes = 1.