Research Article
Using the Theory of Planned Behavior to Understand Traffic Violation Behaviors in E-Bike Couriers in China
Table 3
Mean and standard deviation of the score for each item.
| Constructs | Items | Semantic scales | Mean | SD |
| Attitude | | | | | | att1 | Bad/good | 3.25 | 0.83 | | att2 | Foolish/wise | 3.01 | 1.26 | | att3 | Useless/useful | 5.13 | 0.66 | | att4 | Negative/positive | 3.63 | 1.06 | | att5 | Harmful/beneficial | 2.95 | 1.12 |
| Injunctive norms | | | | | | ins1 | Completely disagree/completely agree | 2.37 | 1.62 | | ins2 | Completely disagree/completely agree | 3.63 | 1.27 | | ins3 | Completely disagree/completely agree | 3.52 | 1.05 |
| Descriptive norms | | | | | | dns1 | Completely disagree/completely agree | 4.06 | 0.55 | | dns2 | Never/very common | 4.13 | 1.07 |
| Perceived behavior control | | | | | | pc1 | Completely disagree/completely agree | 4.91 | 0.63 | | pc2 | Very difficult/very easy | 4.76 | 0.72 | | pc3 | Very unlikely/very likely | 5.27 | 0.57 |
| Intention | | | | | | int1 | Very unlikely/very likely | 3.81 | 1.71 | | int2 | Very unlikely/very likely | 3.27 | 1.07 | | int3 | Very unlikely/very likely | 3.39 | 0.95 |
| Behavior | | | | | | tvb1 | Never/nearly always | 2.97 | 1.77 | | tvb2 | True/false | 3.09 | 1.63 |
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