Barely Significant
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“weakly significant”

1,388 sentences · 1,388 papers · 1,784 search hits before verification · confirmed specimen

Sighted at

p=0.11

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

In the literature

weakly significantp = 0.051.0× alphaqualifiedgold
Growth media type × acetic acid was weakly significant ( p = 0.05–0.1), specifically with 38 mM [HAc] + [Ac – ] significantly ( p < 0.05) reducing both root and shoot length in peat, compared to the 0 mM controls, whereas in the potting mix 47 mM was required to significantly stunt even the root growth ( Figures 5A,C ).
weakly significantp = .051.0× alphaqualifiedgold
Four weakly significant, positive correlations were found between the questionnaire data of lateral preferences and laterality tasks (Ear-VHF picture: r = .21, p = .05; Ear-VHF word: r = .26, p = .01; Eye-VHF word: r = .24, p = .02; DL-Eye: r = .22, p = .03) and three stronger correlations with the VHF face accuracies (Total EHI: r = -.29, p < .01; Hand: r = -.32, p < .01; Foot: r = -.31, p < .01).
weakly significantp > 0.051.0× alphaqualifiedgold
For the shorter incubation (8 h), the addition of the XF prior to 3-NP ( Figure 3 A, white bars) for the first 4 h resulted in statistically insignificant or weakly significant ( p > 0.05) increase of cell survival in comparison to the 3-NP treated cells with no clear relationship to the applied XF concentration.
weakly significantp < 0.051.0× alphaqualifiedgold
More specifically, in the moderating role of rural–urban factors, the effect sizes of two influencing factors—education level (Qb = 9.837, p < 0.01) and higher education participation (Qb = 6.753, p < 0.01)—were all significantly different, whereas the difference in the effect size of lifelong learning engagement was weakly significant (Qb = 4.341, p < 0.05).
weakly significantP <.051.0× alphaqualifiedgold
This analysis revealed a significant contribution of the ATI score to ICT use for self-management; again, participants with higher ATI scores had a greater chance of also using ICT (estimate=0.50323, SE 0.08592, z =5.857; P <.001); furthermore, there were weakly significant ( P <.05) contributions of years since diagnosis, with participants diagnosed for >25 years having a slightly smaller chance of using ICT for self-management (estimate=–1.49372, SE 0.69406, z =–2.152; P= .03); and perceived influence on exacerbations, with perceived influence having a small positive effect on the chance of using ICT (estimate=0.84647, SE 0.32910, z =2.572; P =.01).
weakly significantp < 0.051.0× alphaqualifiedgold
The results of Pearson’s correlation was weakly significant in terms of chronological age ( r = –0.4; p < 0.05), as displayed in Figure 4 , and strongly significant in terms of years of expertise ( r = –0.7261), as shown in Figure 5 .
weakly significantp < 0.051.0× alphaqualifiedgold
On the one hand, there is weakly significant (0.1 < p < 0.05) evidence that the “satisfaction treadmill” is at work for income expectations, as there is a positive correlation between higher life satisfaction expectations and surpassing their income expectations, but not vice-versa (without controls: β 1 2 = 0.013, p > 0.1 and β 2 2 = 0.206, 0.1 < p < 0.05; with controls: β 1 2 = 0.024, p > 0.1 and β 2 2 = 0.197, 0.1 < p < 0.05).