Regarding the duration of single stimulation, we found a marginally significant result that the longer the stimulus lasts, the more the craving decreases (Q=2.832, β =0.023, p =0.092) (see Figure 4 ).
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We find the behavior of group A to be different from the rest of the sample only regarding UG offers, and at marginally significant levels ( p = 0.092), as they offer €0.66 more (3.3% of the pie).
46.2 mL, P =0.007), while the difference in postoperative transfusion was marginally significant ( P =0.092).
Ψ 1 ) was marginally significant ( β = .55, 95% CI −0.09 to 1.19, p = .092).
3.4 Other analyses 3.4.1 Multiple linear regression analysis 3.4.1.1 Knowledge component (R 2 = 7.7 %, F = 4.387, p = 0.002) The knowledge model identified four predictors: College stratum (Private vs Government/Aided): β = +2.69, p = 0.010 (Only statistically Significant predictor), Socioeconomic status: β = −2.12, p = 0.083 (Marginally significant, counter intuitive negative association), Sleep type: β = −2.00, p = 0.092 (Marginally significant) & Ayurveda family history: β = −2.00, p = 0.099 (Marginally significant).
In LPC (500–700 ms), the results showed that the main effect of the two conditions is marginally significant, F 1 , 45 = 2.956 , p = 0.092 , η ρ 2 = 0.062 [ 0.00 , 0.18 ] , and all participants under infelicitous contextual condition ( Μ = − 0.941 μ V ) elicited greater LPC than felicitous condition ( Μ = 0.007 μ V ) .
Finally, except for the initial fixation position showing a marginally significant interaction effect (p = .092), all other indicators showed no significant interaction effects between initial morpheme positional frequency and reading phase (all p > 0.1), suggesting largely independent contributions of positional frequency and learning phase to eye-movement behavior.
5 ), there was a marginally significant difference between the placebo ( EMM = 851, SE = 27.9, 95% CI [796–905]) and caffeine ( EMM = 825, SE = 27.9, 95% CI [771–880]) conditions, Z = 2.33, p = 0.092, and between the placebo and the concurrent flavanols and caffeine conditions ( EMM = 826, SE = 27.9, 95% CI [771–880]), Z = 2.30, p = 0.097.
This 2 × 2 ANOVA also revealed a marginally significant interaction, F (1, 164) = 2.88, p = .092, η p 2 = .02, but the pattern differed from the significant interaction with men's self-ratings.
3 , and the non-linear test was marginally significant for pre-frail transition ( p = 0.092) and not significant for frail transition ( p = 0.225).
Further analysis revealed a marginally significant difference between L1 and L2 switch costs under the fearful condition ( p = 0.092), with L2 switch costs being marginally smaller than L1 switch costs, indicating a slight asymmetry between L1 and L2 switch costs under fearful emotion.
This interaction effect also showed up in the diffusion model parameter drift rate ( F [1, 87] = 152.52, p < .001, η p 2 = 0.64) and a marginally significant effect was found for non-decision time ( F [1, 87] = 2.90, p = .092, η p 2 = 0.03).
Further analysis of 8oxoG variant count in both population and sex via two-way ANOVA indicates population is significantly associated ( P < 0.0001), while sex was marginally significant ( P = 0.0922).
The logistic growth rate showed a marginally significant negative correlation ( r = − 0.3, p = 0.0925, Spearman correlation), while the maximum of infected cases did not show a strong correlation ( r = 0.02, p = 0.91, Spearman correlation) with the timing of control measures (Figs. 9 a–f).
This difference is marginally significant ( p = 0.0925).
Univariate analysis demonstrated marginally significant associations between the occurrence of bleeding and both arterial hypertension ( p = 0.093) and chronic renal failure ( p = 0.086), all other demographic and medical variables showed no association.
This analysis found a marginally significant effect of block, F (3, 360) = 2.16, p = .093, η p 2 = . 02 ; the main effect of group and the interaction between block and SOA were not significant ( F s < 0.58).
Although, most of obtained results were not significant, but the amount of shifting trend were quiet similar to each other (-0.1 to 0.08 expect two models) and p-values were at marginally significant level (0.054 < p-value < 0.093).
Abundance during the first flight period in each year was best explained by abundance of the previous flight period (2ΔLL = 11.24, df = 1, p < 0.01) and by mean October to June temperature, which had a marginally significant effect (2ΔLL = 2.82, df = 1, p = 0.093).
These stereotypic congruency effects were further qualified by a marginally significant three-way interaction, B = −0.057, SE = 0.035, 95% CI [−0.13, −0.01], Z = −1.68, P = 0.093.
A marginally significant negative correlation between MON2 expression and ORR was obtained ( P = 0.093), which could corroborate the above conclusion to some extent (Fig. 4 G).
Furthermore, we also found that there are marginally significant differences in recurrence-free survival (RFS; log-rank test p = 0.093; Figure 5B ).
Furthermore, the direct effect of biogas-slurry treatment on microbial diversity was marginally significant ( p = 0.093).
In the case of IP, the model is marginally significant ( R 2 change = .002, F = 2.83 (1346), p = .093), and zero was included in the CIs, indicating that the moderator role of gender is not significantly different from zero at p < .050 (two tailed).
However, for punishment conditions, the Group X Outcome interaction was significant in the right mOFC, F (2,85) = 4.78, p = 0.011, η 2 p = 0.10, and marginally significant in the right NAcc ROIs, F (2,85) = 2.38, p = 0.093, η 2 p = 0.05.