Table 8.

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

	Odds of conviction (N = 785)		Odds of conviction (N = 785)		Odds of probation (N = 278)		Odds of incarceration (N = 279)
	Coeff	OR	Coeff	OR	Coeff	OR	Coeff	OR
Predictor variables
Attractiveness	−.455	0.634*	−.416	0.659*	.279	1.322	−.047	0.954
	(.092)		(.097)		(.319)		(.227)
Arrest number	—		.195	1.216*	—		—
			(.055)
Controls
Age	.025	1.025	.036	1.037	.007	1.007	.055	1.057
	(.049)		(.051)		(.074)		(.078)
Race	−.307	0.735*	−.389	0.678*	−.077	0.926	.201	1.223
	(.117)		(.111)		(.246)		(.327)
SES	−.383	0.682	−.367	0.693	−.094	0.910	.271	1.311
	(.159)		(.163)		(.358)		(.529)

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

Standard errors in parentheses.

*p < .05.