Barely Significant

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nearly significantp = 0.0581.2× alphagold
Effects of RhD, Smoking, and Interactions between These Variables on Health and Wellness Ordinal probit regression revealed nearly significant effect of age (p = 0.058) and signifiant effect of smoking-RhD interaction (p = 0.040) on health (number of viral and bacterial diseases in the past year).
borderline significantP value = 0.0581.2× alphagold
This association was borderline significant in the Czech population, (OR = 1.28, 95% CI 0.99–1.67; P value = 0.058) and statistically significant in the German population (OR = 1.36, 95% CI 1.06–1.75; P value = 0.016) and in the joint analysis (OR = 1.34, 95% CI 1.12–1.61; P value = 0.001).
nearly significantp = 0.0581.2× alphagold
Pearson’s correlations revealed no significant relationships between average weekly caffeine consumption, Day 2 performance variability learning magnitudes and performance variability retention magnitudes (p>0.190 for all), but there was a nearly significant positive relationship between average weekly caffeine consumption and Day 1 performance variability learning magnitudes ( Fig 3B , r = 0.3760, p = 0.058).
approached significancep = .0581.2× alpha
The correlation between the CFMT-novel and SIAS was significant when these individuals were removed (τ B = −.146, p = .017; ρ = −.212, p = .014; for sqrt-SIAS, r = −.195, p = .025, n = 133), and that between CFMT-total and SIAS approached significance (τ B = −.114, p = .058; ρ = −.167, p = .054; for sqrt-SIAS, r = −.216, p = .012, n = 133).
marginally significantp = 0.0581.2× alphagold
Post hoc Dunnett tests comparing the experimental group with the control groups indicated significantly lower itch NRS scores in the positive expectation induction group ( M = 5.7, SD = 0.3) than in the negative expectation induction group ( M = 6.8, SD = 0.3) ( p <0.01) and marginally significant itch NRS scores in the positive expectation induction group than in the extinction group ( M = 6.5, SD = 0.3) ( p = 0.058).
nearly significantp-value = 0.0581.2× alphagold
(The statistically significant class inequality effect disappears when we control for the socio-demographic covariates.) On the other hand, data show that the class inequality condition had a nearly significant negative effect of -0.111 (p-value = 0.058) on satisfaction with state’s handling of the coronavirus situation; no significant effects are observed for elderly and medical conditions inequality or for the other two satisfaction outcomes (city and federal government).