Table 2.

OLS regression models for the association between attractiveness and criminal involvement.

	Full sample (N = 8484)		Males (N = 3770)		Females (N = 4714)
	Coeff	β	Coeff	β	Coeff	β
Predictor variables
Attractiveness	−.064	−.027*	−.052	−.019	−.065	−.031*
	(.025)		(.044)		(.031)
Controls
Age	−.061	−.080*	−.072	−.089*	−.055	−.078*
	(.008)		(.013)		(.010)
Sex	.477	.193*		—		—
	(.027)
Race	.067	.025*	−.085	−.030	.178	.075*
	(.028)		(.046)		(.035)
SES	−.038	−.009	−.079	−.016	−.022	−.006
	(.047)		(.080)		(.056)

Note. OLS = ordinary least squares; coeff = coefficient; SES = socioeconomic status.

Standard errors in parentheses.

*p < .05.