Given that (1) preparation processes are conceptually linked to criterion adjustment during the CTI, whereas drift rate effects are linked to post-target decision processes and (2) criterion mixing cost was strongly correlated with mixing cost on both RT and drift rate ( r = 0.744, p < 0.001, r = −0.587, p < 0.001, respectively) with effects remaining highly significant when controlling for age ( p < 0.001), we reasoned that criterion-related variability may mediate the relationship between mixing cost positivity and mixing costs in RT and in drift rate.
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The correlational analysis among items within the same sub-scale delivered highly significant values ( p < 0.001).
All four polynomial terms of position were very highly significant (p < 0.001), suggesting that the percentages of hapax nouns out of all words across positions in turns develop across three points of inflection, of which the last sets the stage for a steep rise in percentages of hapax nouns toward turn-final position ( Figure 6 ).
Follow-up ANOVAs revealed highly significant differences on all four trait EI factors: Wellbeing, F (6,450) = 10.13, p < 0.001, η p 2 = 0.12; Self-control, F (6,450) = 10.13, p < 0.001, η p 2 = 0.16; Sociability, F (6,450) = 10.76, p < 0.001, η p 2 = 0.13; and Emotionality, F (6,450) = 15.70, p < 0.001, η p 2 = 0.13.
In terms of pupillary response, the 4°C–10°C group exhibited a significant difference in pupil diameter, whereas this was marginally significant in the 10°C–4°C group (4°C–10°C: p < 0.001; 10°C–4°C: p = 0.062).
As a result of the analysis, it was found that there was a weakly significant negative relationship between these two variables ( r = –0.29, p < 0.001).
The SART mean RT and errors of commission The mean RT had a highly significant effect on EoC [ F (1, 111.55) = 50.03, p < 0.001].
Results demonstrated a statistically highly significant main effect with a large effect of working memory load, F (1, 30) = 57.48, p < 0.001, η p 2 = 0.657 indicating that task performance declined as memory load increased.
The F -test with true value 0 (25.24, both for individual measurements and for mean measurements) was highly significant ( p < 0.001).
Although four of the six significant correlations were highly significant ( p < 0.001), their effect size was relatively small (i.e., smaller than 0.3, Cohen, 1992 ).
time perspective decision-making competence decision making working memory older adults Vetenskapsrådet 10.13039/501100004359 Present Fatalistic was a highly significant predictor of DMC (β = -0.33, p < 0.001).
Crucially, a highly significant Group × Modality interaction was observed [ F (2, 697.78) = 6.68, p = 0.001], confirming that native speakers and learners employ distinct strategies in modulating global pitch range to signal sentence function.
In this study, it is found that entrepreneurs’ technological creative innovation behavior, business creative innovation behavior, and organizational performance have extremely significant positive correlation ( p < 0.001), while the standardized regression coefficient of entrepreneurial relationship acquisition behavior and organizational performance is 0.632, showing a significant positive correlation ( p < 0.05).
Overall, more words were evaluated as either positive or negative than as neutral [ F (2, 44) = 15.87, p < 0.001, η p 2 = 0.42; quadratic: F (1, 22) = 19.08, p < 0.001, η p 2 = 0.46, linear: F (1, 22) = 0.84, p = 0.37, η p 2 = 0.04], but a highly significant interaction of valence and language [ F (2, 44) = 21.0, p < 0.001, η p 2 = 0.49] reflected that this was considerably more pronounced in L1 [quadratic: F (1, 22) = 42.24, p < 0.001, η p 2 = 0.65; linear: F (1, 22) = 1.36, p < 0.25, η p 2 = 0.06] than in L2 [quadratic: F (1, 22) = 4.64, p < 0.05, η p 2 = 0.17], linear: F (1, 22) = 6.21, p < 0.05, η p 2 = 0.22].
For tapping rate, the triple interaction Congruency × Language × Phase was highly significant [ F (1, 61) = 16.15, p < 0.001].
There was a highly significant effect for the threshold parameter ( p < 0.001; in fact, none of the simulated values was larger than the observed value, making p effectively 0, see Figure 2 ), meaning that assuming the same threshold for the different conditions was an inadequate model of the observed data.
3.6 Comparative analysis of exam anxiety across related factors ( N = 1,519) The analysis of academic, health and life style variables demonstrates that several key factors are highly significant predictors of exam anxiety ( p ≤ 0.001).
The adjusted mean difference was 25.0 points (95% CI [21.5, 28.5]), with a highly significant group effect, F (1, 64) = 50.12, p < 0.001, and a large effect size (partial η 2 = 0.439).
As we can see from both Figure 1 and Table 3 , our model shows a highly significant and strong negative effect of Immigration procedural fairness on Lack of human dignity , β = -0.66, p ≤ 0.001, 95% BCa CI [-0.74, -0.53], with close to moderate coefficient of determination (R 2 = 0.43), large effect size (f 2 = 0.77) and large predictive relevance (Q 2 = 0.21).
The inferential statistical outcomes further corroborate these descriptive findings, with the paired-samples t -test indicating a highly significant difference between the initial and final assessment points [ t (46) = 11.36, p < 0.001], accompanied by a large effect size (Cohen’s d = 1.66).
Differential associations of support system profiles with resilience One-way ANOVA results indicated highly significant differences in total resilience and all dimension scores across the support system profiles ( p < 0.001), with effect sizes (η 2 ) ranging from 0.100 to 0.107, indicating moderate to large effects (see Table 6 ).
Individual selection biases are shown in Figure 3B and are in all cases highly significant ( z -test, p < 0.001).
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.
Specifically and in line with Hypothesis 1, there was a highly significant positive effect of ecological motivation on the perceived matching score ( a 1 = 0.47, 95% CI [0.39, 0.55], t = 12.03, p < 0.001).
Results Validity Assumption I We performed a Principal Component Analysis (Varimax rotation) to extract the most important independent factors (KMO=0.751; the Bartlett Test was highly significant; p <0.001).