Barely Significant

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highly significantP < 0.0010.0× alphaqualifiedgold
Results Rating of emotional valence The main effect of the ‘regulation type’ was found to be highly significant ( F (2174) = 157.5, P < 0.001, = 0.357): participants rated their emotions more positively in the distraction (4.82 ± 1.12) and reappraisal blocks (4.86 ± 1.10) when compared to the no-regulation block (3.88 ± 1.16, P < 0.001), whereas the emotion valence between the reappraisal and distraction blocks did not differ ( P = 1.000).
highly significantp = 0.0010.0× alphaqualifiedgold
When we analyzed our data after including as few as 6 randomly selected cluster size measurements per cell, a Kruskal–Wallis test gave highly significant p-values for three cultures (p = 0.001, n = 174 sites (6 *29 cells)) and five cultures (p = 0.005, n = 294 sites (6 *49 cells)).
highly significantp< 0.0010.0× alphaqualifiedgold
The following correlations were highly significant: IPDE paranoid and attachment (0.443, p< 0.001), cognitive (0.359, p< 0.001), dominance (0.381, p< 0.001), emotional (0.398, p< 0.001), and total (0.386, p< 0.001); IPDE antisocial and behavioural (0.42, p< 0.001), cognitive (0.377, p< 0.001), dominance (0.354, p< 0.001), emotional (0.348, p< 0.001
highly significantP <0.0010.0× alphaqualifiedgold
Morphometric results The measuring of the percentage % number of ovarian follicles of the neonatal rats (PND 4); showed a highly significant decrease in the average percentage of the primordial and early primary in the GA3-treated group in comparison with other study groups ( P <0.001), then showed a significant increase again ( P <0.05) after Se combined treatment in comparison with control group ( Fig. 2E ).
highly significantP < . 0010.0× alphaqualifiedgold
While the percentage of single participants was not significantly different between cases and controls, a highly significant difference ( P < . 001) was found when diagnostic groups were considered: single were 92.7% of schizophrenic patients, 78.4% of personality disorders, and 79.8% of other diagnoses.
highly significantp < 0.0010.0× alphaqualifiedgold
Regression modelling to predict extreme scores in the fatigue domain produced a highly significant solution [ χ 2 (5) = 30.1; p < 0.001] which indicated that the putative high cytokine producing T allele of the IFN-γ +874 T/A SNP was the best predictor of severe fatigue [ p < 0.001; OR: 3.6 (95% confidence interval (CI): 1.8–7.2].