Separate analyses of the stimulus category for the time windows revealed no effects for s1 and s2 ( p > 0.10), and highly significant effects for s3, F (2,84) = 5.76, p = 0.006, η 2 = 0.12, s4, F (2,84) = 9.05, p < 0.001, η 2 = 0.18, and s5, F (2,84) = 9.40, p < 0.001, η 2 = 0.18, after stimulus onset (see also Figure 3A ).
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At the Bonferroni-corrected alpha level of 0.004, energy and catastrophizing were the only variables showing significant pre-post changes, with pain acceptance and general health approaching significance ( p = 0.006 and p = 0.005, respectively).
Random intercept for Participant was significant [β = 1.728, SE = 0.086, 95% CI = [1.56, 1.90], t (47.99) = 20.117, p < 0.001] and fixed-effects factor WordOrder was highly significant [β = −0.098, SE = 0.035, 95% CI = [−0.17, −0.03], t (808.19) = −2.78, p = 0.006].
The ANOVA of theta responses revealed highly significant differences for Qigong technique, F (1, 19) = 9.20, p = 0.007, η p 2 = 0.33.
approached significancep = 0.007
We note that one clinical variable approached significance, being frequency of OBEs over the past month (illness severity) in BEG participants ( r = 0.558, p = 0.007).
Health Qigong dynamic Qigong mental practice relaxation EEG The ANOVA of alpha-1 responses revealed highly significant differences for training, F (3,72) = 4.34, p = 0.007, η P 2 = 0.15.
A main effect of Stereotype was found in the by-participants analysis, along with a marginally significant effect in the by-items analysis, F 1 (2,56) = 5.50, p = 0.007; F 2 (2,32) = 3.00, p = 0.064, with faster RTs to word pairs that contained a neutral role term ( M = 828 ms), than those that contained male-biased ( M = 850 ms) or female-biased terms ( M = 889 ms).
almost significantlyp = 0.007
These differences mean that having a relative or close friend infected or deceased from COVID-19 predicted almost significantly the emotional processing indexes in the respondents’ writings [IRef: R 2 = 0.112, F (1, 62) = 7.81, p = 0.007, t = −2.80, p = 0.007; IWRAD: R 2 = 0.054, F (1, 62) = 3.56, p = 0.064, t = 1.89, p = 0.064; IWRAD_IWRLL: R 2 = 0.057, F (1, 62) = 3.74, p = 0.058, t = 1.93, p = 0.058].
The link between approach and the use of emotive language in the threats was highly significant in the mixed motivations sample: 23 (60.5%): 20 (32.8%), χ 2 = 7.333, p = 0.007, φ = 0.272, OR 3.143 (1.354–7.295), and in the aggrieved sample 10 (76.9%): 6 (26.1%), χ 2 = 8.693, p = 0.003, φ = 0.491, OR 9.444 (1.924–12.645), but not in the relationship-seeking sample: 9 (45%): 4 (28.6%), χ 2 = 0.941, NS, 0.166.
In addition there was a strong trend supporting ‘developing basic skills in language,’ χ 2 (1, N = 104) = 7.06, p = 0.008 as an additional rationale endorsed by parents with greater technology experience.
For participants with ASD, it is noteworthy that there was a statistical trend for HPF eating to differ from the No Diagnosis group ( p = 0.008; ƞ 2 p < 0.01) despite only N = 13 in the Diagnosed group.
In the cathodal group, the coefficients for all three goods were significant at the 5% level ( p = 0.018, 0.017, and 0.009, respectively), and the coefficient for the average WTP was highly significant at the 1% level (coefficient = 0.555, p = 0.008).
However, when DPR thresholds in just the defective parts of the visual field (the hemifield or quadrant(s) containing the blind area) were compared, we found highly significant improvements (pre-training: 81.4 ms ± 2.4, post-training: 66.5 ms ± 3.7, Wilcoxon Z = 2.64, p = 0.008; Figure 3B ).
Most participants agreed that it is: for example, 72% of participants agreed or strongly agreed with the statement, “Learning is due to modifications in the brain”; and 90% agreed or strongly agreed that, “There is a lasting change in the brain when someone learns a new skill.” Using the Bonferroni-adjusted alpha level of 0.006, we found that the correlation between TOI scores and responses to these questions did not reach statistical significance ( R 2 = 0.036, p = 0.008).
However, the main effect of the labeling was slightly significant [ F (3,22) =5.85; p =0.008].
However, a significant trend of change was found in students’ perceived D-A fit ( B = 0.001, t = 2.71, p = 0.008), students’ perceived client involvement ( B = 0.009, t = 2.39, p = 0.02), students’ general evaluation of the sessions ( B = 0.07, t = 5.28, p < 0.001), and students’ evaluation of their mood during the sessions ( B = 0.05, t = 4.07, p < 0.001).
While none of the tests returned correlations above 0.3, we can see that (throw) came the closest with 0.220 (and also showed a highly significant correlation with p = 0.008) followed by (our), r = 0.203, p = 0.015).
approached significancep = 0.008
With regard to unique predictors of change in outcomes, similarity of offender spirituality was the most consistent predictor showing significant, negative associations with growth in unforgiveness, emotional expressivity, and self-esteem (βs = −0.17 to −0.42, p s ≤ 0.005) and significant, positive associations with empathy (β = 0.40, p = 0.002), and positive affect (β = 0.46, p < 0.001) and a positive association that approached significance for emotional forgiveness (β = 0.32, p = 0.008).
Behavioral performance Regarding reading comprehension performance, a 2 × 3 mixed ANOVA showed a highly significant main effect of group [ F (1,40) = 7.58, p = 0.009] with a non-significant group by level interaction effect [ F (2,80) = 0.221, p = 0.802].
Post-hoc Wilcoxon signed-rank tests using a Bonferroni corrected alpha of 0.008 revealed a significant difference between children’s spontaneity in the object-centred helping and social-centred comforting tasks ( z = −2.74, p = 0.006) and a marginally significant difference between the social-centred helping and social-centred comforting tasks ( z = −2.60, p = 0.009).
Treating TOI as a categorical variable, we found a marginally significant effect of TOI category on whether participants believed practicing skills changes a person’s brain [ F (2,190) = 4.79, p = 0.009, η 2 = 0.038] Tukey contrasts revealed a significant difference only between the incremental and the entity theorists [ t (112) = 2.77, p = 0.02].
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.
For vitality (χ 2 (4) = 11.33, p = 0.02, CFI = 0.98, TLI = 0.97, RMSEA = 0.07, SRMR = 0.04), there was a decreasing trend over time for Finnish employees (slope M = −0.48, SE = 0.18, p < 0.01), whereas the average change in vitality over time was non-significant for Japanese employees (slope M = 0.55, SE = 0.42, p = 0.19).
The effect of cognitive styles, interfaces and their interactions on the AOI of MeSH terms (excluding Interface A) is statistically significant in terms of cognitive style and interface interactions, and weakly significant in terms of cognitive style [ F (1, 188) = 2.79, p < 0.01].
The inverse efficiency data from the same trials showed a highly significant alignment effect [ F (1, 25) = 24.96, p < 0.01, η ^ p 2 = 0.50] after controlling for a general blocking effect [Block: ε ^ GG = 0.73, F (2.18, 54.38) = 12.75, p < 0.01, η ^ p 2 = 0.34].