Table 4.

Logistic regression models for the associations between attractiveness and the odds of conviction.

	Odds of conviction (N = 2335)		Odds of conviction (N = 2335)
	Coeff	OR	Coeff	OR
Predictor variables
Attractiveness	−.255	0.775*	−.200	0.819*
	(.067)		(.072)
Arrest number	—		.173	1.188*
			(.023)
Controls
Age	.004	1.004	.005	1.005
	(.026)		(.026)
Sex	.504	1.655*	.351	1.420*
	(.152)		(.134)
Race	−.263	0.769*	−.300	0.740*
	(.069)		(.068)
SES	−.017	0.983	−.058	0.944
	(.134)		(.132)

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

Standard errors in parentheses.

*p < .05.