Table 5.

Prediction of number of arrests during the 4-month follow-up: Zero-inflated Poisson regression (N = 261)

	Predictors of arrest (yes/no)				Predictors of number of arrests (if arrested)
	b	S.E.	t	p	b	S.E.	t	p
MDE in 30 days prior to baseline (y/n)	−.62	.91	−.68	.494	.43	.38	1.11	.267
Baseline number of lifetime arrests	−.03	.02	−1.46	.144	.02	.01	3.00	.003
Intervention (y/n)	−1.37	.88	−1.56	.120	.66	.28	2.37	.018
Age	−.17	.06	−2.57	.010	.02	.02	.93	.353
African-American (y/n)	−3.22	1.43	−2.26	.024	.26	.30	.85	.395
Employed at baseline (y/n)	−.09	.88	−.11	.915	−.24	.30	−.82	.410

Note: Significant p-values (< .05) are bolded to allow easy comparison of the predictors of yes/no arrest vs. predictors of number of arrests (if arrested).