Table 5.
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.