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.
Excerpts
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).
The results revealed a positive and highly significant correlation between the NPQ and SPQ scores ( r = 0.84, p < 0.01).
The results of the between-subjects effect test, simple effect analysis ( Tables 2 – 4 ), and pairwise comparative analysis of the tennis players’ reaction time when making a stroke landing prediction showed that the main effect of sport level was highly significant [ F (1,42) = 307.854, p < 0.01, η 2 = 0.880].
This correlation was highly significant for angry faces ( p < 0.01), and stronger in response to male faces compared to female faces but was not significant for neutral or happy faces.
Results The ML has a highly significant positive relationship with SP (0.87, p < 0.01).
failed to reach significancep < 0.01
The main effect of word type was significant by participants but failed to reach significance by items [ F 1(1, 39) = 8.29, p < 0.01; F 2(1, 35) = 2.35, p < 0.13].
The analyses between the variables studied yielded highly significant correlation coefficients ( p < 0.01).
Considering the core explanatory variables, the estimated coefficient of DIGE in column (1) was −2.123, and it was highly significant ( p < 0.01).
The analyses between the studied variables yielded highly significant correlation coefficients ( p < 0.01).
Results The differences between the four conditions were highly significant [ F (3,45) = 9.48, p < 0.01] by a repeated measures, one-way ANOVA applied to the scores of the 16 participants.
Significance was set at an alpha level of P < 0.05 and a highly significant level of P < 0.01, with the Holm correction, applied for the post-hoc test.
All studies in this re-analysis, showed a highly significant main effect of the group factor (with at least p < 0.01) at standard Anovas.
As shown in Appendix , all the AVEs values of all constructs surpasses the 0.50 level ( Fornell and Larcker, 1981 ), and the factor loadings were highly significant ( P < 0.01), ranging from 0.659 to 0.821.
Military performance also indicated positive and highly significant relationships with self-efficacy (MLP&SFE, r = 0.525, p < 0.01).
However, these main effects should not be interpreted given the highly significant interaction effect of country and event valence ( Ψ ^ = −125.72, p < 0.01).
Curiosity presented a correlation coefficient of 0.188, and imagination, a correlation coefficient of 0.205, both highly significant at the p < 0.01 level.
Results indicate that ATT is only affected when a highly significant unobserved factor exists, doubling the likelihood of teacher participation in professional development ( p < 0.01).
According to the findings, a positive and moderately significant relationship was found between career engagement and perception of professional identity ( r = 0.350, p < 0.01, 95% CI [0.257, 0.436]).
In addition, all factor and item loadings in this model were large and highly significant (from 0.45 to 0.89, p < 0.01).
The analysis of data from the 2nd time point revealed that prosocial motivation was also highly significant and positively associated with meaning in military service (MOT&MMS, r = 0.705, p < 0.01) as well as with role fit (MOT&RLF, r = 0.695, p < 0.01).
It could be seen from Table 4 that the economic pressure has an extremely significant positive correlation with the thought of recession and self-efficacy ( p < 0.01) and has an extremely significant negative correlation with the objective support and support utilization ( p < 0.01).
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.
In the overall sample, both boys and girls show statistically highly significant differences ( p < 0.01) in the majority of motor performance items.
To ensure the standard errors were not biased by the “classify-analyze” approach, the sensitivity analysis using the 3-step BCH approach in Mplus corroborated these findings, demonstrating that the structural relationship between the “Ambitious Procrastinator” latent class and worsened T2 mental health trajectories remained highly significant (all p < 0.01 ), firmly establishing the robustness of our results.