Barely Significant

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highly significantp < 0.0010.0× alphaqualifiedgold
The association between this variable and motivation levels was highly significant [ χ 2 (16) = 105.58, p < 0.001, Cramér’s V = 0.14], supporting the hypothesis that ‘higher usage frequency leads to stronger learning motivation’, which aligns with the theoretical connotations of the “Relevance” and “Satisfaction” dimensions in the ARCS model.
highly significantp < 0.0010.0× alphaqualifiedgold
However, a highly significant effect of Valence was found for Bias [ F (1,35) = 29.11, p < 0.001, η p 2 = 0.45], with significantly higher bias for negative words, and also a main effect of Genotype [ F (1,35) = 6.56, p = 0.02, η p 2 = 0.16], with significantly lower bias in Met carriers than Val homozygotes (see Figure 1 ).
marginally significantp < 0.0010.0× alphagold
There was significant main effect of perceptual load, F (1, 19) = 290.86, p < 0.001, η 2 p = 0.94, with faster RTs in the low load condition (631 ms) than in the high load condition (1207 ms); and, there was also a marginally significant main effect of singleton distractor presence, F (1, 19) = 17.72, p < 0.001, η 2 p = 0.48, with RTs in the neutral distractor condition (937 ms) being slower than RTs in the singleton distractor absent condition (901 ms).
practically significantp < 0.0010.0× alphagold
With respect to the How Confident section, the seven-factor model demonstrated a statistically and practically significant improvement in model fit as compared to the five-factor model, Δχ 2 (11) = 2645.780, p < 0.001, ΔTLI = 0.041; first six-factor model (A), Δχ 2 (6) = 958.617, p < 0.001, ΔTLI = 0.013; and second six-factor model (B), Δχ 2 (6) = 1969.970, p < 0.001, ΔTLI = 0.031.
highly significantp < 0.0010.0× alphaqualifiedgold
Overall, the regression model was highly significant [ F (1, 48) = 55.39, p < 0.001, R 2 = 0.53] and yielded a significant coefficient for trial (β = 0.02, t = 7.44, p < 0.001), which indicates that the difference across the two conditions increased logarithmically over time.
Predicting Choice Behavior of Group Members.
Front Psychol · 2020 · PMC7108663