Table 3.
Coefficients variables resulting from hierarchical multiple linear regression analysis (final model)
| Model variables | B | SE | β | t | p | R | R2 | Adj. R2 |
|---|---|---|---|---|---|---|---|---|
| Constant | -1.27 | .45 | – | -2.85 | .008 | – | – | – |
| Covariates | ||||||||
| Age | .025 | .01 | .11*** | 3.69 | .001 | – | – | – |
| Education | .075 | .05 | .05 | 1.53 | .174 | – | – | – |
| Region | – | – | – | |||||
| Swiss-Italian | 1.12 | .14 | .26*** | 8.14 | .000 | |||
| Swiss-French | .43 | .09 | .15*** | 4.65 | .000 | |||
| Predictors | ||||||||
| Ego-involvement | .40 | .04 | .34*** | 10.2 | .000 | – | – | – |
| Knowledge | -.27 | .39 | -.02 | -.71 | .389 | – | – | – |
| Fear | .02 | .01 | .08* | 2.34 | .013 | – | – | – |
| Susceptibility | .15 | .06 | .10* | 2.36 | .015 | – | – | – |
| Risk | .00 | .00 | .03 | .94 | .388 | – | – | – |
| Model | – | – | – | – | – | .56 | .32 | .31 |
Note. B unstandardized regression coefficient, SE standard error, β standardized regression coefficient, t obtained t-value, p probability, R2 proportion variance explained, Adj. R2 adjusted proportion variance explained. Dependent variable: mammography intentions in the near future. *Correlation significant at p ≤ 0.05. **Correlation significant at p ≤ 0.01. ***Correlation significant at p ≤ 0.001