Excerpts

Social trust had the largest beta-value (0.32) but even the lowest beta-value, for Self-confidence, showed a highly significant effect of Montessori ( p < 0.001).

The relationships between all achievement variables were established to be highly significant and generally consistent across the 3 time points ( r = 0.62–0.77; p < 0.001; See Table 5 ).

PERMANOVA on ‘dynamisms’ (main effects and pairwise tests) Main effect and pairwise test The three-way PERMANOVA (excluding ‘shame’ and ‘guilt’) revealed highly significant main effects for ‘dynamism’ (Pseudo- F = 15.53, p = 0.001), ‘Location’ (Pseudo- F = 4.52, p = 0.001), and ‘Time’ (Pseudo- F = 18.07, p = 0.001) ( Supplementary Table S6a ).

However, the magnitude of this relationship demonstrated a decreasing trend as EC increased, with effects of 0.83 ( p < 0.001) at low EC, 0.72 ( p < 0.001) at medium EC, and 0.59 ( p < 0.001) at high EC (see Table 3 ).

After the intervention, the experimental group showed a significant improvement in self-efficacy, with a highly significant difference between groups ( t = 12.76, p < 0.001), and an effect size of 0.65 (moderate effect), indicating that dance therapy has substantial clinical significance in improving self-efficacy.

The analysis of the EEM scores revealed a highly significant effect of load [ F (1,38) = 24.6, p < 0.001, η p 2 = 0 . 39 ] with a higher EEM in LL [ M (LL) = 0.149, SE ± 0.027; M (HL) = −0.017, SE ± 0.022], as well as emotion [ F (1,38) = 8.56, p = 0.006, η p 2 = 0 . 18 ], and an interaction load × emotion [ F (1,38) = 7.39, p = 0.01, η p 2 = 0 .16 ].

However, a highly significant effect of Valence was found for Bias [ F (1,35) = 29.11, p < 0.001, η p 2 = 0.45], with significantly higher bias for negative words, and also a main effect of Genotype [ F (1,35) = 6.56, p = 0.02, η p 2 = 0.16], with significantly lower bias in Met carriers than Val homozygotes (see Figure 1 ).

As the difference in age was highly significant between the groups [ F (3, 186) = 101, p < 0.001], it was included as a covariate. 3.2 Results for the main hypotheses In the total sample, the SC-IAT showed high internal consistency (adjusted r = 0.87), in line with our hypothesis ( H1 ).

Individual selection biases are shown in Figure 3B and are in all cases highly significant ( z -test, p < 0.001).

5 Discussion 5.1 The effect of acceleration on cognitive load From the results of the main effects test, the increase in cognitive load by accelerated playback of instructional videos reached a highly significant level (g = 0.59, p < 0.001), and the hypothesis H1 was valid, i.e., accelerated playback significantly increased the cognitive load of learners compared to original speed playback.

All other pairwise differences were highly significant ( p < 0.001).

Specifically, for the mediating effect proposed by H 2 , the indirect effect between intra-organizational SC and product innovation when the mediating variable RACAP is introduced in the research model is strong and highly significant (β = 0.255, p < 0.001).

The results show that E-homework has a moderate and highly significant positive effect on students’ assignment performance ( g = 0.368, SE = 0.057, 95% CI [0.257, 0.479], z = 6.514, p < 0.001), with almost no heterogeneity among studies ( Q = 8.423, df = 9, p = 0.492, I 2 = 0.000), indicating that E-homework has a stable and consistent promoting effect on students’ assignment performance.

With respect to the How Confident section, the seven-factor model demonstrated a statistically and practically significant improvement in model fit as compared to the five-factor model, Δχ 2 (11) = 2645.780, p < 0.001, ΔTLI = 0.041; first six-factor model (A), Δχ 2 (6) = 958.617, p < 0.001, ΔTLI = 0.013; and second six-factor model (B), Δχ 2 (6) = 1969.970, p < 0.001, ΔTLI = 0.031.

As expected, there was a highly significant main effect of tempo, with faster rates producing shorter ITIs [ F (2,100) = 9559.96, p < 0.001, η p 2 = 0.995].

For each model, all the factor loadings were highly significant and larger than 0.65 ( p < 0.001; Table 2 ), indicating good convergent validity of the measurement ( Cole, 1987 ).

When applied to the active conditions ( Figures 11B and 12B ) the effect of lobe becomes highly significant, F (1,60) = 184, p < 0.001, where the frontal lobe contribution is much larger then that of the temporal lobe, but the effects of beat and rhythm condition are abolished.

Results demonstrated a statistically highly significant main effect with a large effect of working memory load, F (1, 30) = 57.48, p < 0.001, η p 2 = 0.657 indicating that task performance declined as memory load increased.

However, there was a highly significant interaction between these factors [ F (4, 48) = 6.97, p = 0.001, η 2 p = 0.37].

This effect was described by a highly significant linear trend, F (1, 20) = 53.14, p < 0.001, indicating a continuous decrease of relatedness ratings with increasing latency of gaze reactions.

The statistical analysis revealed highly significant differences with moderate to strong effect sizes on the multivariate level [ F (6,214) = 7.05, p < 0.001, η p 2 = 0.17], on the univariate level for the PTSD severity [ F (3,108) = 5.88, p = 0.001, η p 2 = 0.14] and for the sum score of the regularly experienced violence [ F (3,108) = 14.09, p < 0.001, η p 2 = 0.28].

Importantly, a highly significant Group × Item Type interaction ( F (1, 1795) = 23.43, p < 0.001) was observed.

Priming and copying accuracy The full-null model comparison for the copying accuracy of relevant actions was clearly significant ( χ 2 = 22.997, df = 5, p ≤ 0.001), confirming that our test predictors had an effect.

sad-face first) ANOVA for detection rate (see the Data analysis section for details) revealed a highly significant main effect of facial expression [ F (1, 58) = 11.61, p < 0.001, η p 2 = 0.17], with a lower detection rate on sad faces than neutral faces, suggesting larger choice blindness was found for sad facial expressions than for neutral facial expressions.

The results show that the number of patents of invested enterprises has an extremely significant positive correlation with the human capital index ( P < 0.001), and a significant positive correlation with the education level of personnel, the proportion of engineering professionals ( P < 0.05).