. Author manuscript; available in PMC: 2016 Apr 28.

Published in final edited form as: Autism. 2014 Apr 30;18(7):803–814. doi: 10.1177/1362361314529191

Table 2.

Logistic regression models for the likelihood of a mandate’s passage.

Predictor	NS-CSHCN prevalence data			IDEA prevalence data
Predictor	B	SE B	Odds ratio	B	SE B	Odds ratio
Autism prevalence	2.41^***	0.56	11.13^***	2.51^***	0.60	12.43^***
Pediatrician density	1.53^***	0.34	4.63^***	1.96^***	0.37	7.12^***
Median income	−0.0004^**	0.0002	0.99^**	−0.0004^**	0.0002	0.99^**
Number of state mandates	0.09	0.07	1.09	0.04	0.07	1.04
Percent of plans exempt from mandates under ERISA	30.34	18.42	0	23.02	19.49	0
Republican political affiliation^a	1.35	2.19	3.87	4.95^*	2.22	141.04^*
Generosity of special education criteria^a	–	–	–	−1.71	1.95	0.18
Constant	−24.18	13.07		−18.00	13.57
χ²	27.99^***	44.04^***
df	6	7

SE: standard error; df: degree of freedom; NS-CSHCN: National Survey of Children with Special Health Care Needs; IDEA: Individual with Disabilities Education Act; ERISA: Employee Retirement Income Security Act.

Reference categories are Democrat (state political affiliation) and not generous (generosity of special education criteria).

p < 0.05;

^**

p < 0.01;

^***

p < 0.001.