| |
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
| | | | | |
(.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
