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. 2020 Mar 17;10:4855. doi: 10.1038/s41598-020-61627-6

Table 5.

The association of GSQS with cognitive performance metrics in Study 2.

Outcome β 95% CI t df p BF01
ACC learning indices
ACC Higher-order sequence learning 0.029 [−0.17, 0.23] 0.278 102 0.78 10.87
ACC Statistical learning −0.001 [−0.20, 0.20] −0.013 102 0.99 10.08
ACC Triplet learning 0.000 [−0.20, 0.20] 0.000 102 1.00 10.15
RT learning indices
RT Higher-order sequence learning −0.004 [−0.11, 0.10] −0.070 102 0.94 10.14
RT Statistical learning −0.105 [−0.32, 0.11] −0.973 102 0.33 5.39
RT Triplet learning −0.054 [−0.17, 0.07] −0.866 102 0.39 16.46
General skill indices
ACC general skill learning 0.040 [−0.13, 0.21] 0.452 102 0.65 12.28
Average ACC 0.156 [−0.05, 0.36] 1.466 102 0.15 5.16
RT average −0.176 [−0.39, 0.04] −1.617 102 0.11 3.46
RT general skill learning −0.104 [−0.30, 0.09] −1.039 102 0.30 5.85
WM and EF indices
Counting Span −0.062 [−0.26, 0.13] −0.632 102 0.53 6.07
WCST – perseverative error −0.009 [−0.13, 0.14] −0.133 101 0.89 9.22

Note: The table shows standardized regression coefficients for GSQS scores in separate linear mixed-effect models for each cognitive performance metrics. Age, gender, and morningness score were added as covariates. BF01 was derived from BIC (see the ‘Data analysis’ section for details). ACC = accuracy. RT = reaction time. WM = working memory. EF = executive function. WCST = Wisconsin Card Sorting Test.