Barely Significant
← all phrases

“marginally significant”

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

Sighted at

p>=0.1

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

In the literature

marginally significantP = 0.030.6× alphagold
In the 6 case studies involving more than one display trait, there was never a significant relationship between trait means and our estimates for Δt ( P ≥ 0.31) or for Δp ( P ≥ 0.33); in four of the case studies the relationship between trait mean and preference strength was also non-significant ( P ≥ 0.35), but in 2 case studies it was significant or marginally significant ( Gryllus spp.; P = 0.03; Enchenopa ; P = 0.07, although the latter relationship was negative).
marginally significantp = .030.6× alphagold
Note, however, that even for these relatively uninformative studies the evidence favors \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$\mathcal {H}_{0}$\end{document} H 0 , whereas the respective classical p values equal p = .06 (i.e., “marginally significant”), p = .03 (i.e., “significant, reject \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$\mathcal {H}_{0}$\end{document} H 0 ”), and p = .06 (i.e., “marginally significant”). 3 Finally, consider the evidence for the studies in which the effect is in the opposite direction and most of the posterior mass is concentrated on negative values of ρ .
marginally significantp<.030.6× alphagold
Planned comparisons further showed that monosyllables with large rises in sonority (e.g., blif ) produced reliably more accurate responses relative to small rises (e.g., bnif , t1(39) = 8.68, p<.0001; t2(45) = 3.25, p<.003), which, in turn produced reliably more accurate responses compared to sonority plateaus (e.g., bdif , t1(39) = 7.14, p<.0001; t2(45) = 5.27, p<.0001); the contrast between sonority plateaus and falls (e.g., lbif ) was marginally significant (t1(39) = 2.37, p<.03; t2(45) = 1.13, p<.28) To demonstrate that the effect of syllable type is not due to artifact associated with binary data [31] , we also submitted the results to a General Mixed Effects Model logistic regression model with syllable (monosyllables vs. disyllables) and type (e.g., blif, bnif, bdif, lbif ) as fixed effects, and participants and items as random effects.
Language universals engage Broca's area.
PLoS One · 2014 · PMC3990587