Table 4.
Outcome | β | 95% CI | t | df | p | BF01 |
---|---|---|---|---|---|---|
ACC learning indices | ||||||
ACC Higher-order sequence learning | −0.077 | [−0.28, 0.13] | −0.749 | 97 | 0.46 | 7.73 |
ACC Statistical learning | −0.031 | [−0.24, 0.17] | −0.296 | 97 | 0.77 | 8.09 |
ACC Triplet learning | −0.111 | [−0.31, 0.09] | −1.092 | 97 | 0.28 | 4.46 |
RT learning indices | ||||||
RT Higher-order sequence learning | −0.001 | [−0.11, 0.11] | −0.025 | 97 | 0.98 | 9.76 |
RT Statistical learning | −0.205 | [−0.41, 0.00] | −1.955 | 97 | 0.05 | 8.96 |
RT Triplet learning | −0.059 | [−0.19, 0.07] | −0.917 | 97 | 0.36 | 11.28 |
General skill indices | ||||||
ACC general skill learning | −0.171 | [−0.35, 0.01] | −1.866 | 97 | 0.07 | 2.51 |
Average ACC | 0.035 | [−0.18, 0.25] | 0.317 | 97 | 0.75 | 8.94 |
RT average | −0.086 | [−0.31, 0.13] | −0.764 | 97 | 0.45 | 12.79 |
RT general skill learning | −0.064 | [−0.26, 0.14] | −0.623 | 97 | 0.53 | 7.10 |
WM and EF indices | ||||||
Counting Span | −0.065 | [−0.26, 0.13] | −0.664 | 97 | 0.50 | 5.63 |
WCST – perseverative error | 0.005 | [−0.13, 0.14] | 0.072 | 96 | 0.94 | 9.71 |
Note: The table shows standardized regression coefficients for sleep diary 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 ‘Data analysis’ section for details). ACC = accuracy. RT = reaction time. WM = working memory. EF = executive function. WCST = Wisconsin Card Sorting Test.