Table 4.
Correlations [95% CIs] between Demographic Variables and WCST Metrics
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| 1. Age | — | |||
| 2. Educationa | 0.01 [−0.13, 0.16] | — | ||
| 3. NES | −0.49 [−0.59, −0.37]* | 0.30 [0.17, 0.41]* | — | |
| 4. Persistence | −0.04 [−0.15, 0.07] | 0.07 [−0.09, 0.23] | 0.01 [−0.13, 0.09] | — |
| M | ||||
| Female | 59.86 | 15.70 | 0.94 | −0.01 |
| Male | 58.16 | 15.51 | 0.80 | −0.00 |
| M differenceb | 1.71 [−3.04, 6.45] | 0.19 [−0.57, 0.93] | 0.14 [−0.23, 0.52] | −0.01 [−0.04, 0.02] |
Note.
Education: years of education; NES: number of efficient shifts.
Education data were available for 176 participants.
Studentized 95% CIs as recommended by Canty and Ripley (2016).
95% CIs estimated from non-parametric bootstrap resampling did not include 0.