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. 2014 Sep;46:73–83. doi: 10.1016/j.intell.2014.05.007

Table 1.

Descriptive statistics and correlations.

M SD 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
1 N-back B1 28.20 3.84
2 N-back B2 27.75 4.49 .72
3 N-back B3 27.84 4.77 .66 .83
4 Number–letter B1 1.50 0.77 − .05 − .09 − .05
5 Number–letter B2 1.07 0.70 .03 .00 − .02 .61
6 Number–letter B3 0.92 0.66 .11 .06 .07 .50 .70
7 Stroop B1 0.24 0.21 .01 .04 .00 − .07 − .01 − .08
8 Stroop B2 0.19 0.18 .10 .08 .10 − .11 .01 − .08 .34
9 Stroop B3 0.20 0.20 .04 .06 .11 − .04 .00 − .04 .38 .24
10 NI reasoning 1.04 1.66 .28 .32 .33 − .15 − .09 − .02 .07 .00 .04
11 VD reasoning 0.97 1.10 .22 .27 .24 .04 .00 .02 .11 .04 .07 .34
12 Uses: tin can 1.33 0.30 .13 .16 .16 − .03 − .05 − .12 .09 .07 .02 .15 .04
13 Uses: car tire 1.20 0.27 .14 .16 .18 .10 .04 − .06 .08 .03 .06 .12 .17 .36
14 Instances: round 1.28 0.23 .12 .11 .10 .15 .04 − .02 .15 .02 .09 .23 .21 .37 .31
15 Instances: travel 1.17 0.25 .23 .22 .22 .08 .04 − .01 .09 − .02 .08 .17 .11 .31 .32 .39
16 Openness P1 10.10 2.66 .06 .08 .02 − .07 − .04 − .11 .05 .02 − .04 .12 .19 .23 .26 .15 .13
17 Openness P2 11.19 2.25 .05 .10 .03 − .08 − .01 − .07 .10 − .09 .02 .03 .02 .19 .25 .11 .17 .46
18 Openness P3 11.07 2.84 .05 .11 .06 − .11 − .10 − .15 .07 .04 .07 .08 .11 .22 .21 .13 .09 .66 .47

Notes. The correlation matrix was adjusted for missing data by MPlus. For reaction time measures (i.e., number–letter and Stroop), scores were reversed so that higher values indicate better (faster) performance. NI = numerical-inductive, VD = verbal deductive, B = block, P = parcel; p < .05 for r ≥ .13, and p < .01 for r ≥ .17 given that n = 230.