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

Published in final edited form as: J Consult Clin Psychol. 2014 Apr 28;82(6):1151–1162. doi: 10.1037/a0036657

Table 4. Exploratory Analysis of the Interaction between Age and Other Predictors.

	Number of LEAD Diagnoses Missed			Number of Extra Chart Diagnoses

	Interaction term¹	Simple slope for children²	Simple slope for adolescents³	Interaction term¹	Simple slope for children²	Simple slope for adolescents³
Predictor variable	B	B	B	B	B	B
Age × Gender (Female = 1)	-.05^*	.05^*	-.06^*	-.05^*	.07^*	-.05^*
Age × Ethnicity(African American = 1)	-.04^*	.02	-.05^*	-.02^*	.01	-.03^*
Age × Number of LEAD diagnoses	-.02^*	.99^*	.96^*	-----	-----	-----
Age × Number of Chart diagnoses	-----	-----	-----	-.02^*	1.02^*	.99^*
Age × CBCL Total Score- linear	-.01^*	-.01^*	-.03^*	-.01^*	-.02^*	-.04^*
Age × CBCL Total Score- quadratic	.00			.00
Age × GAF Rating	-.02^*	.03^*	-.004	-.02^*	.04^*	-.00
Age × Parent BDI Score	.00			-.004^*	.00	-.01^*
Age × Multiple Children in Family (yes = 1)	-.04^*	.00	-.08^*	-.04^*	-.01	-.09^*
Age × Global Family Environment Scale	.00			.00
Age × High School Graduate	.01			.00
Age × Some Post-High School Education	-.02^*	.07^*	.04^*	-.01^*	.07^*	.03

p < .005

Interaction term from a multiple predictor model including main effects of age and all other predictors;

Simple slope for 1 standard deviation below the mean sample age (7.7 years);

Simple slope for 1 standard deviation above the mean sample age (14.1 years)