Table 4.

Regression of Aggressor Classes on Substance Abuser Classes by Analytic Method

Predictor:	Odds Ratios for Associations Between Latent Variable Classes				Entropy
	Soft Drug Class		Polysubstance Class
Class Predicted:	Psych	Global	Psych	Global
Analytic Method
MLRA	1.90 (0.84, 4.29)	1.47 (0.54, 3.97)	2.94* (1.20, 7.16)	2.86* (1.01, 8.07)	NA
1-step LCA-C	1.70 (0.51, 5.60)	1.69 (0.49, 5.77)	4.44* (1.41, 14.01)	4.43* (1.27, 15.52)	.85
3-step LCA-C	2.05 (0.80, 5.24)	1.52 (0.53, 4.37)	3.40* (1.18, 9.75)	3.17* (1.03, 9.78)	.85
1-Step LCA-D	2.07 (0.80, 5.32)	1.78 (0.55, 5.72)	3.35* (1.32, 8.52)	3.81* (1.27, 11.42)	.80
1-Step Categorical SEM	1.96 (0.52, 7.34)	2.71 (0.37, 19.77)	4.76** (1.49, 15.18)	6.03** (1.56, 23.34)	.79
3-Step Categorical SEM	2.11 (.72, 6.16)	1.56 (.47, 5.21)	3.80* (1.23, 11.73)	3.40* (1.03, 11.25)	.73

Note. All three-step analyses are corrected using the modal maximum likelihood method. Three-step LCA-D with a nominal distal outcome cannot currently be conducted in Mplus 7.1. ORs greater than 1.00 indicate higher probabilities of perpetrating intimate partner aggression for men in a substance use problems class compared to men in the drug-problem-free class. MLRA = multinomial logistic regression analysis; LCA = latent class analysis; LCA-C = LCA with covariates; LCA-D = LCA with distal outcome; Psych = psychologically aggressive versus nonaggressive (reference) class; Global = globally aggressive vs. non-aggressive class; SEM = structural equation modeling; NA = not applicable; CI = confidence interval.

^*p < .05.

^**p < .01.