Barely Significant
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“marginally significant”

26,083 sentences · 26,083 papers · 36,483 search hits before verification · confirmed specimen

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p>=0.1

Listed by Hankins (2013) · Otte et al. (2022)

In the literature

marginally significantp = .0721.4× alphagold
To follow up, we first established that a model constraining the regression coefficients to be equal between groups does not worsen model fit relative to the model where all parameters are freely estimated, although this difference in model fit was marginally significant ( p = .072).
marginally significantp = .0721.4× alphagold
Testing-naïve older adults showed a tendency for higher recognition of near- than far-distance objects, particularly for context-atypical and unfamiliar objects, with this pattern marginally significant (p = .072) for the unfamiliar objects ( M near = .73, .85, and .79 for context-typical, context-atypical, and unfamiliar; M far = .71, .77, and .60, respectively).
marginally significantp = .0721.4× alphagold
A similar effect with greater relative left frontal activation in response to anger as compared to greater relative right frontal activation to pain was also observed at mid-frontal electrodes (F3, F4) where the difference between the frontal EEG alpha asymmetry scores in response to facial expressions of anger and pain was marginally significant, t (19) = 1.90, p = .072 (see Table 1 ).
marginally significantp = 0.0721.4× alphagold
The main effect of set size was significant [ F (3.02, 184.14) = 24.81, p < 0.001]; the main effect of complexity was significant [ F (1, 61) = 8.68, p = 0.005]; the main effect of interference was not significant [ F (1, 61) = 2.09, p = 0.153]; the interaction between set size and complexity was marginally significant [ F (3.02, 184.14) = 2.37, p = 0.072]; the interaction between set size and interference was not significant [ F (3.02, 184.14) = 0.60, p = 0.618]; the interaction between complexity and interference was not significant [ F (1, 61) = 0.93, p = 0.339]; the interaction between these 3 variance was not significant [ F (3.02, 184.14) = 0.73, p = 0.535].
marginally significantp = 0.0721.4× alphagold
Testing Whether a Higher Level of IU Leads to Lower Intentions to Get Vaccinated, to Have One’s Children Vaccinated, and to Recommend the Vaccine An omnibus repeated measures ANOVA did not show a significant effect of IU on the intention to get vaccinated, F (5, 238) = 1.42, p = 0.214, but it did show a marginally significant effect of attitudes towards vaccination on the decision to get vaccinated, F (5, 238) = 2.03, p = 0.072.
marginally significantp = .0721.4× alphagold
Effect of geographical distance on beta diversity after controlling for environmental variables The observed partial correlation coefficients of beta diversity with geographical distance (coordination) after controlling environmental heterogeneity were significant for total bryophytes ( r = .1493, p < .001), total mosses ( r = .1432, p < .001), liverworts ( r = .090, p < .02), pleurocarpous mosses ( r = .1257, p < .005), and marginally significant for acrocarpous mosses ( r = .0471, p = .072) (Table 3 ).
marginally significantp = 0.0721.4× alphagold
Correlations Between HAMD Scores and Cortical Activation The results of Pearson's correlation analysis showed that HAMD scores were positively correlated with the VFT-related Δβ (β post− β pre ) in channel 37 at a marginally significant level ( r = 0.344, FDR-corrected p = 0.072) in all the included patients ( Figure 6 ), as well as in ROI 1 ( r = 0.255, p = 0.087), but not in single-channel 26, 27, or 28 (FDR-corrected p > 0.05).
approaching significancep = 0.0721.4× alphagold
marginally significantp = 0.0851.7× alphagold
The wild-type complex exhibited substantial inter-replica variability (SD = 3.42 Å), while one-way ANOVA revealed marginally significant differences among systems (F(2,9) = 3.28, p = 0.085), with the NP_006138.1 :p.(Arg84Cys)- NP_006138.1 :p.(Ala16Val) comparison approaching significance (p = 0.072).
marginally significantp = 0.0721.4× alphagold
β-diversity profiles in the TWK10 group after administration showed a marginally significant difference ( p = 0.072, by unweighted UniFrac distance) to those in the Control group after administration ( Figure 3 C), while those in the TWK10-hk group differed significantly from those in the Control group (PERMANOVA, P = 0.036, by NMDS with unweighted UniFrac metric; P = 0.072 by unweighted U