| Gender | Education | Age | CFMT+ | Hits | False alarms |
---|
Gender | – | .05 | .18* | .12 |  .02 | − .16†|
– | – | .11 | − .01 | .27†| − .06 |
Education |  | – | − .01 | − .08 | .06 | .12 |
– | – | – | – | – |
Age |  |  | – | .15†| .18* | − .04 |
– | .05 | − .07 | .18 |
CFMT+ |  |  |  | – | .30*** | − .06 |
– | .36* | − .37** |
Hits |  |  |  |  | (.54) | − .17* |
(.65) | − .08 |
False alarms | Â | Â | Â | Â | Â | (.54) |
(.65) |
- The first row displays results of the first sample (N = 139), and the second row of the second sample (N = 47). Reliabilities (Cronbach’s alphas; Cronbach, 1951) are displayed in the diagonal in parentheses. †p < .10 two-tailed. *p < .05 two-tailed. **p < .01 two-tailed. ***p < .001 two-tailed. (-) No correlation could be calculated, because all subjects have the same education in Sample 2, because all subjects have a Bachelor’s degree