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. 2010 Jul 9;30(10):1572–1589. doi: 10.1111/j.1539-6924.2010.01459.x

Table XI.

Logistic Regression Models for Respondents’ Actions of “Throw Away All Dog Food/Toys”a

Dog Food Toys
Coefficient Wald Test Coefficient Wald Test
Judged probability 12.74   4.45** 2.83   4.26**
Trust in authorities (1 = do not trust; 7 = fully trust) 3.30   1.53 0.79   3.29*
Information sufficiency (1 = not enough; 7 = enough) 0.97   0.60 −0.21   0.35
Overall concern (1 = not concerned; 7 = very concerned) −1.83   2.54 0.09   0.10
Controllability (1 = controllable; 7 = uncontrollable) −0.91   1.12 0.44   2.37
Dread (1 = not dread; 7 = dread) 3.08   2.88* 0.29   1.53
Severity (1 = consequences not fatal; 7 = consequences fatal) −0.49   0.27 −0.45   1.29
Voluntariness (1 = voluntarily; 7 = involuntarily) 0.39   0.46 0.12   0.28
Known to exposed (1 = known precisely; 7 = not known) −0.13   0.06 −0.42   2.82*
Immediacy of effect (1 = effect immediate; 7 = effect delayed) 0.99   1.30 0.00   0.00
Newness (1 = old; 7 = new) −1.27   3.15* 0.19   0.57
U.S. indexb −2.03   1.20 −0.24   0.22
China indexb 2.18   2.10 −0.14   0.10
Japan indexb −4.31   3.70* −0.47   0.71
Mexico indexb −0.63   0.22 −0.18   0.20
Gender (1 = male; 2 = female) −0.20   0.01 −2.73   2.63
Age (years) 0.69   1.07 −0.11   0.27
Race (1 = Asian American; 0 = non‐Asian American) 10.11   4.48** 0.18   0.04
Dogs (no.) 0.80   0.90 –  – 
Cats (no.) 6.77   2.58 –  – 
Wear seatbelt when riding in a car (1 = never; 7 = always) 1.14   3.00* −0.10   0.10
Young siblings (no.) 0.38   0.71
Babysitting experience (1 = yes; 0 = no.) 0.76   0.86
Constant −14.23   0.87 8.38   1.70
R 2(Cox and Snell) 0.47 0.32

aIn the contaminated dog food scenario, the dependent variable is the action of “Throw away all dog food.” In the lead‐painted toys scenario, the dependent variable is the action of “Throw away all toys.”

b1 = do not trust/not satisfied; 7 = fully trust/satisfied. We averaged respondents’ ratings of products made in China on the three scales to be the general quality index of China in both logistic regression models.

*Significant at 0.10 level; **significant at 0.05 level; ***significant at 0.01 level.