. Author manuscript; available in PMC: 2015 Sep 18.

Published in final edited form as: J Abnorm Psychol. 2015 Aug;124(3):606–622. doi: 10.1037/abn0000071

Table 4.

Model fits for bivariate main effect and interaction models of past-year gambling involvement and disorder and local area disadvantage.

	Men				Women
Past-year gambling outcome	Model fit (log-likelihood)		Difference test^a		Model fit (log-likelihood)		Difference test^a
	Main effects model	Interaction model	Χ²	p	Main effects model	Interaction model	Χ²	p
Any gambling	-2732.21	-2730.24	3.94	.41	-4330.03	-4326.87	6.32	.18
Electronic gambling machines	-2814.85	-2804.57	20.56	.0004	-4161.78	-4123.16	77.24	< .0001
Disordered gambling	-2828.96	-2823.10	10.12	.038	-4195.33	-4184.17	22.32	.0002

Note: Likelihood ratio chi-square difference tests have four degrees of freedom. A significant difference in model fit indicates a significant interaction effect.