Table 7.

Logistic regression models for the association between attractiveness and the odds of conviction, incarceration and probation for males.

	Odds of conviction (N = 1550)		Odds of conviction (N = 1550)		Odds of probation (N = 758)		Odds of incarceration (N = 758)
	Coeff	OR	Coeff	OR	Coeff	OR	Coeff	OR
Predictor variables
Attractiveness	−.150	0.860	−.082	0.922	−.294	0.745	−.244	0.783
	(.093)		(.103)		(.130)		(.134)
Number of arrests	—		.168	1.183*	—		—
			(.025)
Controls
Age	−.006	0.994	−.008	0.992	−.044	0.957	.038	1.039
	(.030)		(.031)		(.047)		(.050)
Race	−.234	0.791*	−.256	0.774*	.139	1.150	.369	1.446*
	(.087)		(.087)		(.205)		(.258)
SES	.192	1.212	.131	1.140	−.155	0.856	.745	2.106*
	(.210)		(.204)		(.220)		(.630)

Note. OR = odds ratio; coeff = coefficient; SES = socioeconomic status.

Standard errors in parentheses.

*p < .05.