Table 3 Summary of hierarchical regression analysis for variables predicting perceived counterfeit medicine risk (N = 427)
Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig | ||
|---|---|---|---|---|---|---|
B | S.E. B | β | ||||
1 | (Constant) | 10.617 | 1.747 | 6.078 | .000 | |
Age | .554 | .126 | .209 | 4.398 | .000 | |
F = 19.34 | ||||||
R2 = .04 | ||||||
2 | (Constant) | 12.449 | 1.770 | 7.032 | < .001 | |
Age | .264 | .091 | .100 | 2.895 | .004 | |
Knowledge | .020 | .044 | .016 | .448 | .655 | |
Subjective Norm | -1.132 | .172 | -.297 | -6.594 | < .001 | |
Ethical Judgment | .614 | .209 | .129 | 2.941 | .003 | |
Risk Aversion | 1.000 | .202 | .194 | 4.952 | < .001 | |
Perceived Benefit | -.441 | .062 | -.290 | -7.059 | < .001 | |
F = 76.07 | < .001 | |||||
R2 = .52 | < .001 | |||||