Table 1 Statistical results comparing performances of students on the contents followed by sleep (NAP) × waking controls with specific (Control 1) or non-specific (Control 2) interference

From: Post-class naps boost declarative learning in a naturalistic school setting

Trials >30′ (72)

All Trials Analysis

Subjects >30′ (21)

Nested Analysis

KS

0.0000

KS

0.0000

Levene

0.1385

Levene

0.9231

KW

0.0047

KW

0.0312

WR Control 1 × NAP

0.0246

WR Control 1 × NAP

0.0435

WR Control 2 × NAP

0.0013

WR Control 2 × NAP

0.0172

Trials <30′ (21)

All Trials Analysis

Subjects <30′ (10)

Nested Analysis

KS

0.0000

KS

0.0000

Levene

0.7378

Levene

0.2742

KW

0.9197

KW

0.6296

WR Control 1 × NAP

0.8988

WR Control 1 × NAP

0.7325

WR Control 2 × NAP

0.7124

WR Control 2 × NAP

0.3631

  1. The table shows p values from Kolmogorov–Smirnoff test (KS) and the Levene test. Since the data were not normally distributed, we used the Kruskal–Wallis test (KW) followed by the Wilcoxon Ranksum test for pairwise comparisons (Bonferroni correction for 2 comparisons, α = 0.025). Boldface indicates statistically significant differences. Two analyses were performed: (i) considering all trials (“All Trials Analysis”), and (ii) using the average of all results from the same subject in each condition (“Nested Analysis”). Number of trials/subjects are indicated in parenthesis
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