Regression results examining the correlates of pretraining measures of trust among time delay sample participants (N = 1,216)
| Trust in SSA (n = 1,138) | Trust and confidence in US government (n = 1,158) | Trust in online transactions (n = 1,138) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| R2 = 0.02 | R2 = 0.06 | R2 = 0.06 | ||||||||||
| Independent variables | Coef. | SE | t-value | p-value | Coef. | SE | t-value | p-value | Coef. | SE | t-Value | p-value |
| Intercept | 3.53 | 0.41 | 8.62 | <0.001 | 0.23 | 0.06 | 3.74 | <0.001 | 2.33 | 0.32 | 7.39 | <0.001 |
| Prior imposter scam victim | 0.13 | 0.16 | 0.83 | 0.410 | −0.01 | 0.02 | −0.37 | 0.710 | −0.15 | 0.13 | −1.2 | 0.230 |
| Income | 0.002 | 0.001 | 1.9 | 0.060 | 0.0003 | 0.0001 | 2.26 | 0.020 | 9E-04 | 0.0007 | 1.41 | 0.160 |
| Years of education | 0.03 | 0.02 | 1.53 | 0.130 | 0.02 | 0.003 | 5.81 | <0.001 | 0.02 | 0.02 | 1.53 | 0.130 |
| Age | −0.008 | 0.02 | −0.46 | 0.650 | 0.0004 | 0.003 | 0.17 | 0.870 | 0.03 | 0.01 | 2.18 | 0.030 |
| Age-squared | 0.0002 | 0.0002 | 1.1 | 0.270 | −1E-05 | 3E-05 | −0.27 | 0.790 | −0 | 0.0002 | −2.34 | 0.020 |
| Sex (1 = female) | −0.05 | 0.08 | −0.69 | 0.490 | −0.02 | 0.01 | −2.13 | 0.030 | −0.23 | 0.06 | −3.95 | <0.001 |
| Nonwhite | 0.05 | 0.09 | 0.54 | 0.590 | 0.04 | 0.01 | 3.21 | 0.001 | −0.26 | 0.07 | −3.79 | <0.001 |
| Frequency of online shopping | 0.04 | 0.04 | 0.88 | 0.380 | 0.005 | 0.006 | 0.88 | 0.380 | 0.11 | 0.03 | 3.49 | <0.001 |
| Prior cyber security training | −0.11 | 0.08 | −1.37 | 0.170 | −0.01 | 0.01 | −0.88 | 0.380 | −0.01 | 0.06 | −0.2 | 0.840 |
| Trust in SSA ( | Trust and confidence in US government ( | Trust in online transactions ( | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Independent variables | Coef. | SE | Coef. | SE | Coef. | SE | ||||||
| Intercept | 3.53 | 0.41 | 8.62 | <0.001 | 0.23 | 0.06 | 3.74 | <0.001 | 2.33 | 0.32 | 7.39 | <0.001 |
| Prior imposter scam victim | 0.13 | 0.16 | 0.83 | 0.410 | −0.01 | 0.02 | −0.37 | 0.710 | −0.15 | 0.13 | −1.2 | 0.230 |
| Income | 0.002 | 0.001 | 1.9 | 0.060 | 0.0003 | 0.0001 | 2.26 | 0.020 | 9E-04 | 0.0007 | 1.41 | 0.160 |
| Years of education | 0.03 | 0.02 | 1.53 | 0.130 | 0.02 | 0.003 | 5.81 | <0.001 | 0.02 | 0.02 | 1.53 | 0.130 |
| Age | −0.008 | 0.02 | −0.46 | 0.650 | 0.03 | 0.01 | 2.18 | 0.030 | ||||
| Age-squared | −0 | 0.0002 | −2.34 | 0.020 | ||||||||
| Sex (1 = female) | −0.05 | 0.08 | −0.69 | 0.490 | −0.02 | 0.01 | −2.13 | 0.030 | −0.23 | 0.06 | −3.95 | <0.001 |
| Nonwhite | 0.04 | 0.01 | 3.21 | 0.001 | −0.26 | 0.07 | −3.79 | <0.001 | ||||
| Frequency of online shopping | 0.11 | 0.03 | 3.49 | <0.001 | ||||||||
| Prior cyber security training | −0.11 | 0.08 | −1.37 | 0.170 | −0.01 | 0.01 | −0.88 | 0.380 | −0.01 | 0.06 | −0.2 | 0.840 |
Note:
Differences in effect sizes and statistical significance from the primary sample are given in italic
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