Table 3.

Logistic Regression Predicting Wave 3 Handgun Carrying Based on Victimization Presented as Odds Ratios.

	Model A	Model B	Model C	Model D
Carry weapon W2	3.873* (2.106)	3.109+ (1.878)	3.317* (1.885)	3.339* (1.803)
Ever a victim				2.535* (0.977)
Victim W1			1.986 (0.871)
Victim W2			1.736 (0.887)
Repeat victim		2.380+ (1.099)
Male	7.621** (4.325)	6.935** (4.009)	6.337** (3.630)	6.277** (3.535)
Age W1	0.977 (0.113)	0.937 (0.108)	0.952 (0.108)	0.960 (0.110)
White	0.883 (0.425)	0.967 (0.460)	1.059 (0.521)	0.982 (0.499)
Other race	0.891 (0.600)	0.985 (0.656)	1.011 (0.685)	0.995 (0.687)
Gang member W2	0.901 (0.642)	0.952 (0.660)	0.764 (0.546)	0.803 (0.561)
Gang member W3	0.988 (0.465)	0.979 (0.462)	0.913 (0.424)	0.929 (0.438)
Urban neighborhood W1	0.819 (0.382)	0.812 (0.395)	0.744 (0.362)	0.767 (0.360)
Mom college educated W1	1.351 (0.535)	1.320 (0.535)	1.449 (0.574)	1.463 (0.581)
Smoked cigarettes W2	1.585 (0.690)	1.430 (0.645)	1.401 (0.615)	1.404 (0.611)
Smoked pot W2	0.952 (0.534)	0.911 (0.526)	0.911 (0.518)	0.906 (0.515)
Drank alcohol W2	1.800 (0.911)	1.687 (0.888)	1.664 (0.854)	1.695 (0.859)
IRT delinquency W2	0.900 (0.275)	0.765 (0.243)	0.790 (0.239)	0.803 (0.229)
Easy gun access W2				1.230 (0.479)
Constant	0.002** (0.003)	0.003** (0.006)	0.002** (0.004)	0.002** (0.003)

Note. N = 3,801. Standard errors displayed in parentheses. IRT = item response theory; W1 = Wave 1; W2 = Wave 2; W3 = Wave 3.

^**p < .01.

^*p < .05.

⁺p < .10.