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. Author manuscript; available in PMC: 2017 Feb 1.
Published in final edited form as: Dev Psychol. 2016 Feb;52(2):326–340. doi: 10.1037/dev0000075

Table 3.

Univariate Task Twin Correlations and ACE Estimates

Twin
Correlationsa
Variance Components (%) Model Fit
 Task MZ DZ A C E χ2 (6) p RMSEA CFI
Wave 1
 Antisaccade .55* .22* 54* [5] 0 [.00] 46* [5] 3.21 .782 .000 1.00
 Stop-signal .51* .08 44* [6] 0 [.00] 56* [6] 10.41 .109 .061 .911
 Stroop .48* .29* 38* [17] 9 [.14] 53* [5] 5.57 .473 .000 1.00
 Keep track .54* .25* 53* [5] 0 [.00] 47* [5] 1.89 .930 .000 1.00
 Letter memory .57* .18* 55* [5] 0 [.00] 45* [5] 7.50 .277 .035 .983
 Spatial 2-back .29* .14 25 [20] 2 [.17] 73* [6] 4.56 .602 .000 1.00
 Number–letter .51* .29* 48* [16] 4 [.14] 48* [5] 2.99 .810 .000 1.00
 Color–shape .34* .21* 34 [19] 3 [.15] 63* [6] 5.60 .469 .000 1.00
 Category-switch .53* .33* 39* [16] 13 [.14] 47* [5] 3.47 .748 .000 1.00
Wave 2
 Antisaccade .61* .40* 42* [14] 19 [.13] 39* [4] 2.05 .915 .000 1.00
 Stop-signal .27* .22* 12 [20] 15 [.16] 73* [7] 3.74 .712 .000 1.00
 Stroop .52* .08 49* [5] 0 [.00] 51* [5] 8.72 .190 .049 .956
 Keep track .60* .15 57* [5] 0 [.00] 43* [5] 6.34 .387 .017 .996
 Letter memory .69* .34* 69* [3] 0 [.00] 31* [3] 0.81 .992 .000 1.00
 Spatial 2-back .55* .16* 53* [5] 0 [.00] 47* [5] 9.13 .167 .052 .957
 Number–letter .51* .17* 53* [5] 0 [.00] 47* [5] 11.29 .080 .068 .917
 Color–shape .32* .23* 28 [19] 7 [.15] 66* [7] 4.91 .556 .000 1.00
 Category-switch .50* .21* 48* [5] 0 [.00] 52* [5] 5.23 .514 .000 1.00

Note. Standard errors in brackets. Variance components sum to 100%, within rounding error. MZ = monozygotic; DZ = dizygotic; A = additive genetic variance; C = shared environmental variance; E = nonshared environmental variance; RMSEA = root-mean-square error of approximation. CFI = confirmatory fit index. χ2/df < 2, RMSEA < .06, and CFI > .95 indicate good fit.

a

Correlations are maximum likelihood estimates (from Mplus) based on all data, adjusted for missing observations.

*

p < .05, determined with chi-square difference tests for the ACE models and with z-values for the correlations.