In addition, with respect to perceived learning achievement, participants showed highly significant differences in stressors, stress symptoms, coping strategies, and overall academic engagement and its dimensions, with U > 23790.500 and p = 0.001, such that greater perceived learning was associated with lower stress-related factors and higher academic engagement, although the effect sizes were small to approaching moderate (see Table 4 ).
Excerpts
If the Bartlett's test of Sphericity is highly significant at p < 0.001, this indicates that that the correlation matrix has significant correlations among at least some of the variables (Shrestha, 2021 ).
Results from the critical ratio method indicated that all items had highly significant critical values ( P < 0.001).
This effect of orientation was highly significant ( p < 0.001), but interacted with the effect of category ( p < 0.02), suggesting that the behavioral cost of mirror recognition was greater for words (41 ms) than for objects (25 ms).
As demonstrated in Table 2 , there is a high and highly significant correlation between age and seniority ( p < 0.001), indicating a robust positive association.
However, the meta-analytical estimate is still highly significant, with logOR = 2.7, p < 0.001.
The one-way ANOVA was highly significant, F (3,623) = 141.78, p < 0.001, η p 2 = 0.41.
The constant term (intercept) which reports the effect of congruency averaged over all conditions was highly significant [ F (1, 15) = 48.29, p < 0.001, η p 2 = 0.76].
The Kaiser–Meyer–Olkin (KMO) measure verified the sampling adequacy for the analysis ( KMO = 0.83, p < 0.001), and Bartlett's test of sphericity was highly significant (χ 2 = 1087.42, p < 0.001).
Similarly, constraining the correlation between ST and CB to 1.0 resulted in a highly significant degradation of fit (Δχ 2 (1) = 32.457, p < 0.001).
For instance, a mobile app that guides users in applying acupoint tapping protocols for anxiety and stress was investigated in a large-scale study including 270,461 app users and found highly significant ( p < 0.001) symptom reduction ( Church et al., 2020 ).
That study yielded highly significant reductions in self-reported anxiety and stress ( p < 0.001), indicating that tapping alone can produce robust outcomes and highlighting the importance of further research into the mechanisms involved. 3.2.3.
A 4 (Character Style) × 2 (Participant Gender) mixed-design repeated measures ANOVA revealed a highly significant main effect of character style on perceived realism, F (3, 84) = 130.72, p < 0.001, η p 2 = 0.78.
A highly significant main effect of vocals on arousal was observed, F (1, 96) = 1389.5, p < 0.001, indicating that songs with vocals were rated as more highly arousing than their instrument-only counterparts (Figure 2 ).
It is worth noting in this connection that the correlation between CPM and performance on the inflection task is relatively strong and highly significant ( r = 0.63, p < 0.001).
The two first-stage paths from digital orientation to Organizational learning ( β = 0.513, p < 0.001) and to Organizational forgetting ( β = 0.487, p < 0.001) were both highly significant, as were the second-stage paths from Organizational learning ( β = 0.276, p < 0.001) and Organizational forgetting ( β = 0.263, p < 0.001) to AI capability.
It was found that the direct effect of exercise self-efficacy on depression increased progressively from low to high levels of perceived social support: from non-significant (β = 0.016, SE = 0.069, 95% CI = [−0.119, 0.151], p = 0.815), to significant (β = −0.109, SE = 0.053, 95% CI = [−0.214, −0.005], p < 0.05), to highly significant (β = −0.234, SE = 0.067, 95% CI = [−0.365, −0.104], p < 0.001).
Among the EG children, changes in all parameters, aside from CSRL, which remained stable, were found to be highly significant ( p < 0.001); in contrast, among the CG, only pre-literacy skills demonstrated growth, along with a decline in CSRL.
There was no significant effect when the target was a no-onset item, F < 1, but a highly significant effect when the target was an onset, F (4, 84) = 16.18, p < 0.001: RTs increased on average by 103 ms from one onset to six onsets.
The association between this variable and motivation levels was highly significant [ χ 2 (16) = 105.58, p < 0.001, Cramér’s V = 0.14], supporting the hypothesis that ‘higher usage frequency leads to stronger learning motivation’, which aligns with the theoretical connotations of the “Relevance” and “Satisfaction” dimensions in the ARCS model.
The final model showed that Wilks’ lambda, as a test of discriminant function, was highly significant (λ = 0.837; χ 2 = 25.6 df = 1, p < 0.001) and the only selected variable was WIS with a canonical discriminant coefficient of 0.763.
As hypothesized, ELE emerged as a highly significant positive predictor of WTC ( β = 0.62, t = 17.48, p < 0.001).
After rigorously controlling for these significant demographic and clinical variables, the indirect pathway from childhood maltreatment to suicidal ideation through difficulties in emotion regulation remained highly significant ( p < 0.001), providing robust evidence for the stability of this mediating mechanism across different clinical contexts.
Although the pattern of the intercorrelations varies across countries, they all qualify as moderate or high ( Cohen, 1988 ) and highly significant ( p < 0.001).
In accordance with H4.1 and H4.2, the correlation coefficients between state anxiety and learned trust showed a decrease over time, with a highly significant negative correlation between state anxiety and initial learned trust ( r = −0.59, p < 0.001), and a medium significant negative correlation with dynamic learned trust in the first trial ( r = −0.36, p = 0.031), and a non-significant negative correlation in the second trial ( r = −0.31, p = 0.054).