Most of the correlations between subscales were moderate, and those between subscales and the total score were strong, and all were found to be highly significant (p < 0.001).
Excerpts
Maximal grip was a highly significant predictor of visual memory ( n = 1162; t = −3.7, coeff = −0.155, SE = 0.042, P < .001) and reaction time ( t = −5.5, coeff = −0.049, SE = 0.009, P < .001).
When labeling intensity was quantified, it was seen that there was a highly significant difference ( p < 0.001) between the mean grade for tumor epithelium (mean grade 2.9 ± 0.2) compared to normal intestinal epithelium (mean grade 0.5 ± 0.2). 3.3.
Statistical significance levels were denoted as follows: ∗ for p < 0.05 (statistically significant), ∗∗ for p < 0.01 (highly significant), and ∗∗∗ for p < 0.001 (extremely significant). 3.
pubescens showed a very highly significant ( Table 1 , ANOVA test, P <0.001) reduction in vessel lumen size between the control ring and the injury ring, ranging from 42 to 64% for lumen area and from 20 to 39% for lumen diameter.
The recertification module of preschool vision screening then underwent a pilot study and where it achieved a factor loading of > 0.75 for each of the items in a confirmatory factor analysis with a highly significant ( P < 0.001) positive relationship between Factors I, II and III in the Spearman’s rank correlation test performed.
The results showed that the microbial community structure in the Wec600B group before intervention (Wec600B_0) and after intervention (Wec600B_1) presented a highly significant separation in PCoA (PERMANOVA p value = 0.001, PC1 explained 38.61%, PC2 explained 23.01%), and the microbial community structure in the Wec1000B group before intervention (Wec1000B_0) and after intervention (Wec1000B_1) also showed a significant separation trend in PCoA (PERMANOVA p value = 0.048,
Regarding the values for the support needs and strategy indicators, the results showed highly significant correlations between support needs and each informer's assessment with regard to the strategies they received ( r = .90, p < .001 for the individuals with ID and the family members, and r = .85, p < .001 for the professionals).
Multivariate logistic regression analysis demonstrated that polymicrobial blood culture remained statistically highly significant independent predictor of lethal outcome when compared to both Gram-positive (standard β value 3.950; OR 51.922, 95% CI 13.777–195.681; p ≤ 0.001) and Gram-negative (standard β value 3.117; OR 22.584, 95% CI 4.465–114.231; p ≤ 0.001) blood cultures.
Although the Pseudo R 2 is 0.0374, the overall model is highly significant (Wald chi 2 = 96.24, p < 0.001), indicating good explanatory power.
Subjective effects ( Table 3 ) A one way ANOVA found a highly significant effect of modafinil on task motivation ( F (1,62) = 1131.6, p < 0.001).
Overall there was a highly significant preference for original images (65.13% correct, SD = 17.57%, t = 5.448, 39 df , p <.001), with preferences for the original that were individually significant with p <.05 for 20 (50.0%) of the images (65.8% to 97.4% correct).
This difference is highly significant compared to all other individual time intervals ( P < 0.001; N = 136; two-sided heteroscedastic Student ́s T -test).
The results remained consistent, with all group differences between sporadic FTD and healthy controls remaining highly significant ( P < 0.001) across all striatal regions.
The positive effect for a dense stroma quality was highly significant in the observation group ( P= 0.001), but not in patients who received adjuvant chemotherapy with gemcitabine.
When compared to the death group, we found a highly significant difference for aCCI ( P = 0.0010) and preoperative ALT ( P = 0.014).
Unadjusted analysis Unadjusted analysis of the relationship of the risk group (coagulopathy, anticoagulant or antiplatelet therapy) and the non-risk group with the variables patient- and surgery-specific characteristics showed that there were highly significant differences between the risk group and the non-risk group with regard to all variables (in each case p < 0.001) (Table 1 ).
However, a highly significant and dose‐dependent increase in the average cross‐sectional area of blood vessels was seen with pASCs, which held true in both graft and granulation tissue ( p < .001).
Similarly, the two-way ANOVA of reaction speed (see Figure 4(b) ) revealed a marginally significant difference for congruency [ F (1,16) = 206.08, p < 0.001, η 2 = 0.93], with participants responding faster in the congruent condition (428.61 ± 41.40 ms) than in the incongruent condition (476.94 ± 42.12 ms).
The χ 2-test value, for all tested traits, shows the difference in the variability between control and children with FS and this difference is highly significant (Σ X 2 cn/fs = 109.02; p <0.001), which shows that it is their genetic dispositions that differ.
The significant mean for each slope factor demonstrates that all participants experienced a decline in sleep duration (μ = − 0.236, p < 0.01) and an increasing trend in frailty (μ = 0.514, p < 0.001) over time.
In all three cases, a highly significant (p < 0.001) trend of increasing Cq values over time was evident, indicating a decreasing parasite load over the 1-year period.
Interestingly, PC1 was associated with higher levels of inflammatory factors ( Figure 8A ) and a highly significant LPS effect ( p < 0.001) in the three brain areas, as well as a pretreatment by treatment interaction ( p < 0.05) in the STR.
This is indicated by the results of the correlation analysis (which was carried out after converting all scores into z-scores to standardize the measures), according to which Pearson’s r coefficient was found to be 0.691, a highly significant value ( p < 0.001), and it is also confirmed, as previously mentioned in the methodological section, by PCA and EFA that showed that all items load optimally on a single factor, we labeled ‘total care burden’. 3.2.2.
There was no age trend in response in the usual postal arm ( P = .23), but a significant trend in the postal plus optional Internet arm ( P < .001), driven by the lower response rate in the 20-24 age group.