. Author manuscript; available in PMC: 2015 May 1.

Published in final edited form as: J Abnorm Child Psychol. 2014 May;42(4):623–634. doi: 10.1007/s10802-013-9802-4

Table 2.

Summary of Hierarchical Logistic Regression Analysis for All Informants’ Baseline Ratings Predicting ADHD Diagnosis at 6-Years-Old (N = 102)

Block	Variable	OR	95% CI	p value
1	SES	0.98	0.96–1.00	.11
	FSIQ	1.01	0.98–1.04	.71
2	SES	0.99	0.96 – 1.01	.30
	FSIQ	1.00	0.97–1.03	.95
	Parent ADHD-RS ≥90^th Percentile	4.74	1.88–11.95	.001
	Teacher ADHD-RS ≥90^th Percentile	2.15	0.88–5.22	.09
3	SES	0.99	0.96–1.01	.37
	FSIQ	1.01	0.98–1.05	.48
	Parent ADHD-RS ≥90^th Percentile	3.64	1.39–9.50	.008
	Teacher ADHD-RS ≥90^th Percentile	1.87	0.75–4.64	.18
	Clinician BRIC ≥90^th Percentile	2.81	1.07–7.35	.036

OR unadjusted odds ratio, CI Confidence Interval

Nagelkerke R Square = .03, Model χ² (2) = 2.64, p = .27

Nagelkerke R Square = .19, χ² (2) = 13.06, p = .001; Model χ² (4) = 15.69, p = .003

Nagelkerke R Square = .24, χ² (1) = 4.52, p = .034; Model χ² (5) = 20.21, p = .001