Studies show significant improvements in pulmonary capacity among boys and girls aged 9–10 after a 12-week shuttlecock intervention in schools ( P < 0.05), with highly significant differences before and after the experiment ( P < 0.01) ( Xiaobei, 2022 ).
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The results of simple correlation analysis showed that commission errors and ICV showed a highly significant negative correlation with 5-ht content changes ( p < 0.01 ).
For the new words, the vowel's main effect was highly significant [ F 1 (1, 18) = 14.28, p < 0.01; F 2 (1, 42) = 8.77, p < 0.01].
Furthermore, the preliminary bivariate correlation analysis, among participants who attended the post-training PPEt session, showed positive, highly significant ( p ≤ 0.01) linear relationships among all eight variables related to the SMC.
Simple slope analysis showed that when the grit level was low ( M -1 SD ), the psychological security followed a decreasing trend with the increase of interpersonal stress score (simple slope = −0.48, t = −12.33, p < 0.01).
There was a highly significant correlation ( p < 0.01) between the processing speed estimate C and retirement status (Retired).
The correlations between each of the 70 items and the overall scores of the SMPS-PPE were highly significant ( p < 0.01, see Table 5 for details), with correlation coefficients greater than 0.40.
The main effect of frame was also highly significant, F (1, 156) = 8.0, p < 0.01.
Results Explicit task In the RTs we replicated a significant interaction between “Valence” and “Arousal,” which was marginally significant in the analysis by item [ F 1(1, 18) = 9.87, p < 0.01, r = 0.59; F 2(1, 154) = 2.98, p = 0.086, r = 0.14; Appendix B , a in Supplementary Material].
Results The ML has a highly significant positive relationship with SP (0.87, p < 0.01).
Highly significant regression coefficients (value of p ≤0.01) were observed between Factor 1 and Factor 2; Factor 1 and Factor 3; Factor 1 and Factor 4; Factor 4 and Factor 3; and Factor 4 and Factor 5.
Assessing the baseline, a significant trend was observed: c-statistic = 0.62 ( SE = 0.22), z (two-tailed) = 2.82, p < 0.01 ( p = 0.0024).
Self-confidence remained marginally significant ( β = 0.11, p = 0.01), suggesting a slight reduction in its effect after introducing motivational factors.
The data were tested to conform to the law of normal distribution, with a highly significant difference at p < 0.01 (see Table 9 ).
Moreover, the main effect of the informational factor was marginally significant [ F 1(1, 63) = 7.62, p < 0.01; F 2(1, 11) = 3.64, p = 0.08], with given-new sentences processed more accurately than new-given sentences.
The results revealed a positive and highly significant correlation between the NPQ and SPQ scores ( r = 0.84, p < 0.01).
In contrast, a weak yet highly significant positive association was found between family size and adolescents' weekend day television entertainment (ρ = 0.098, p < 0.01), with a small effect size (η 2 = 0.009).
The test–retest reliability coefficient in ranged from 0.83 to 0.87 in the Canadian sample and 0.72 to 0.89 in the American sample, and all coefficients were highly significant ( p < 0.01; LaFreniere and Dumas, 2003 ).
As shown in Figure 3 , the analysis revealed a marginally significant main effect of trustworthiness, F (2,86) = 4.82, p = 0.01, η p 2 = 0.10, BF 10 = 27.008.
Results The total motor health scores of the preschoolers showed highly significant positive correlations ( p -value < 0.01) at the 0.01 level (two-tailed) with motor ability, physical health, mental health, social and emotional competence, motor health environment, and motor health behavior.
After a Bonferroni correction for multiple comparisons, we found a negative and highly significant correlation only between the precision of post-touch condition (ρ (20) = -0.83, p < 0.01) and PFT.
Finally, the General Fade-out capability (β = −0.01, CI [−0.05, 0.03]) was included as the only variable with a non-significant p -value ( p = 0.526), whereas all other effects had highly significant p -values ( p < 0.010).
Notably, the scale showed moderate and highly significant correlations with both Anxious Attachment (r = 0.46, p < 0.01) and Avoidant Attachment (r = 0.47, p < 0.01), indicating that disorganized attachment encompasses aspects of both anxiety and avoidance in attachment behaviors.
The conditional effect of status on post-game T level was highly significant for participants high (plus 1 SD) on anxious attachment ( F = 7.61; p < 0.01; B = 159.67) while it was not significant for those with low (minus 1 SD) anxious attachment ( F = 3.18; n.s.; B = 80.15).
A negative and significant mean latent trajectory was evident for LS (unstandardized μ LS –S = −0.11 [−0.16 −0.06, SE = 0.03, p < 0.001), and PA (unstandardized μ PA–S = −0.13 [−0.18 −0.08], SE = 0.03, p < 0.01), and a positive trend for NA (unstandardized μ NA–S = 0.074 [0.03.22], SE = 0.03, p < 0.01).