Table 3.

Logistic regression analysis of incentives in kit return

Uptake	B	SE β	z	P>z	Lower 95% CI	Upper 95% CI
Incentive (0=no inc; 1=incentive)	2.719	.795	3.42	0.001	1.159	4.279
Type (0=voucher; 1=lottery)	−1.180	.327	−3.61	0.000	−1.822	−.539
Framing (0=loss; 1=gain)	.117	.162	0.72	0.471	−.201	.436
Hall	−.103	.205	−0.50	0.616	−.507	.300
Gender (0=male; 1=female)	−.264	.151	−1.75	0.080	−.560	.031
Constant	−1.921	.437	−4.39	0.000	−2.778	−1.064

LR chi2(4) =89.11 Prob > chi2 =0.0000

Log likelihood = −197.14929

Pseudo R2 =0.1843