The results showed that the Kaiser–Meyer–Olkin value was always above 0.50, that Bartlett’s test of sphericity was highly significant ( p < 0.001) and that the amount of variance explained by the single factor was always substantial, ranging from 36% to 62%.
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While there were no detectable differences in the numbers of visits according to age prior to the COVID-19 pandemic ( p = 0.780), highly significant differences emerged during the event ( p = 0.001).
The frequency of hospitalization stratified by age groups showed an increase from 55.26% in 2002 to 74.92% in 2016 in the <1 year age class ( Figure 1 ) with a significant trend (β = 1.37; p < 0.001).
There was a strong and highly significant relationship (−0.55, p < 0.001) between overall conservatism and climate change worry.
The results for the overall sample indicated a positive trend in the HRI (Mt1 = 48.5, SDt1 = 22.5; Mt3 = 56.7, SDt1 = 21.2; p < 0.001).
With the exception of the scale of demands, all measures assessing psychosocial work conditions were associated with an overall sense of job satisfaction and were statistically highly significant (test probability value of p < 0.001).
As expected, there was a highly significant main effect of sampling time (F = 26.62, df = (1,54), p < 0.001), indicating that cortisol means varied across the day.
There were highly significant differences between the two genders in lifetime ( p = 0.001), 12-month ( p = 0.01) and 7-day ( p = 0.01) shoulder pain prevalence.
Scoring of pain severity in relation to presence of premenstrual symptoms were highly significant ( p value <0.001, Table 1 ).
With the exception of digit span forward ( p = 0.2), all the primary and secondary outcomes were highly significant (all p < 0.001). 4.
The Type 3 score test indicated a highly significant main effect of cluster (χ 2 = 62.54, p < 0.001).
An inspection of the median scores shows that the differences between rural and urban residents were especially large and highly significant ( p < 0.001 for the MW test with Bonferroni correction, unless otherwise stated) for individuals aged 65–74 (MW = −4.4); living in company (MW = −3.9); with primary or no education (MW = −5.4); making ends meet with some difficulty (MW = −4.4); with fair self-perceived health (MW = −3.6); suffering
Work-related fatigue was not different in the two groups, while sleepiness was much greater in ARs than in OMRs: the difference was highly significant ( p < 0.001).
A substantial majority of women whose partners exhibited controlling behaviour reported emotional violence (71.84%), compared to 28.16% among those whose partners did not, a difference that was highly significant ( p < 0.001).
Correlation between SOC and Aggressiveness In both samples, a highly significant correlation exists between the total score on the SOC and the aggressiveness tests, with Pearson’s rho = 0.419 and −0.546 ( p < 0.001).
The tendon factor, representing the difference between tendon types, was highly significant ( F (1,38) = 107.71, p < 0.001, η 2 p = 0.818), indicating a significant difference in area measurements between the patellar and peroneal tendons.
The aim was to find out whether the differences among medians of each group were statistically significant within the sample, suggesting the existence of a relationship among variables ( p < 0.05 * significant, p < 0.01 ** highly significant, p < 0.001 *** very highly significant, p < 0.0001 *** very, very highly significant).
Results of the path analyses are presented separately for the male and female ( Figure 1 and Figure 2 ) estimates, as the difference chi-square for this model was highly significant (χ 2 = 150.784, 45 df, p < 0.001, CFI = 0.795, RMSEA = 0.119).
A one-way MANOVA on all the social capital and health-related variables with study group (MCL, comparison) as independent variables proved to be highly significant (F [6, 1060] = 40.28, Wilk’s Lambda = 0.81, p < 0.001).
pylori leads to highly significant adhesion inhibition ( p < 0.001).
To compare the accuracy of factors identified by regression analysis, we included the three factors with highly significant results ( p < 0.001; age, life satisfaction, and cognitive level) and the six factors with significant results ( p < 0.05; age, final educational level, residential area, regular exercise, life satisfaction, and cognitive level) in the comparison.
The two-factor mixed-design ANOVA results demonstrate that the main effect of assessment timepoint on left eye flicker fusion frequency was also extremely significant (F = 160.570, p < 0.001).
In 2016, there was a decreasing trend of 0.055 (SE = 0.023, p < 0.001) weekly search queries for calories before 7 May, with a significant level change of 4.64 (SE = 2.17, p < 0.001) after 7 May.
The effect size was highly significant ( p < 0.001) for reading and schooling, evidencing a low education profile or without studies.
The large decrease in the proportions rather or very annoyed by sound from aircraft was, not surprisingly, highly significant (McNemar test, chi-square 284.031, p < 0.001).