“highly significant”

Results The results of statistical analysis and structural equation modeling (SEM) indicated that teachers’ immediacy behaviors (verbal, nonverbal) had a highly significant influence on EFL students’ WTC (ß=0.89, p = .000) and academic engagement (ß=0.71, p = .000).

Regarding descriptive statistics for these results, the F test of one-way ANOVA shows a highly significant difference in surface roughness ( P -value = 0.000) among the five groups (C1, C2, P3, P5, and P7), as shown in Table 3 .

The AIDA Finnish total score on Identity Diffusion differed at a highly significant level of p = 0.000 and with a large effect size of Cohen's d = 1.4 standard deviations between the adolescents of the school population (mean = 75.7, SD = 38.4) and the subsample of the 33 suicidal patients (mean = 126.0, SD = 30.7), mostly diagnosed with major depression based on K_SADS interview and a clinical classification conference after a thorough psychosocial evaluation of the young person and their family.

Within this model, highly significant predictors were both the independent continuous (dpi: F (1, 299) = 19.267, p = 0.000) and categorical (treatment: F (5, 299) = 62.880, p = 0.000) variable.

The negative exponential function ( Figure 5 ) was highly significant (P<0.0000), accounting for 90% of the observed variability.

Two-way ANOVA revealed that doses, time, and dose and time interaction were highly significant ( p = 0.000) ( Table 4 ).

Board-moisture content had a highly significant effect ( p = 0.000), while the effect of particle fraction on formaldehyde content ( p = 0.806) had no statistical impact.

In the case of women that smoked, high associations were observed for anti-L1-16 and -18 antibodies (OR = 5.30 and 4.84, respectively), and those were highly significant ( p = 0.000 and 0.001, respectively) ( Table 2 ).

P value was highly significant ( P < 0.000).

The overall model was highly significant ( p = 00; r-squared = 0.58).

Multiple regression analysis- adjusted odds ratios (AORs) If ANC attendance was not initiated, women without complications and women with complications had the odds of at least 9 and 11 respectively for developing SMOs and this was highly significant (p < 0.00).

Effects of genotype and severance on plant performance in the first phase Severance had highly significant negative effects on all components of mass and on ramet number of the apical portion ( Figures 1A–F ; Table 1A : F = 19.03 – 35.04; P = 0.000 – 0.000).

Contrastingly, a study found that the mean knowledge scores of dental and pharmacy students were 114.375 ± 26.386 and 48 ± 30.0856, respectively, with a highly significant difference between the two groups (P = 0.000) [ 38 ].

It was found that women of HP had more premature babies and fetal mortality, and the difference is highly significant ( p = 0.000).

This analysis revealed highly significant differences between healthy and asymptomatic individuals for the variable “department of patrol” (Chi2 = 40.23; df = 14; p = 0.000).

They preferred eudicot plants over monocot plants, with a highly significant difference observed (χ 2 = 15.565, df = 1, p = 0.000), and showed a preference for herbaceous plants over woody plants (χ 2 = 1.087, df = 1, p = 0.405) ( Figure 5 ).

For the right side localization, main effect was highly significant F (1, 28) = 116.26 P = 0.000, partial eta squared = 0.806, non-verbal belief processing showed slight increase compared to the robust improvement observed in verbal processing (mean 1 = 0.028 and mean 2 = 2.142).

There was a statistically highly significant difference seen for the VAS score between sites at Site A1, Site A2, Site B1, and Site B2 at baseline (p = 0.000), one hour (p = 0.000), and two weeks (p = 0.000).

The overall infection rate was significantly higher in public schools (67.3%) compared to private schools (35.2%), with a highly significant difference ( P = 0.000; 95%).

Furthermore, 29 out of 55 patients with HE (52.7%) had hyponatraemia, compared with only 18 of the 110 patients (16.4%) in HBV-ACLF patients without HE, this difference was highly significant (P = 0.000).

Highly significant differences (p = 0.000) were found between subgroups A and C, A and E, A and F, A and G, A and H with subgroup A providing significantly worse results.

A P-value was set as very highly significant (P<0.000), highly significant (P<0.001), significant (P<0.05), and non-significant (P>0.05).

Very highly significant (P<0.000) The sample size was calculated according to a pre-established formula: N = population size e = Margin of error (percentage in decimal form) Z = Z-score (desired confidence level, 95%: z score = 1.96) The estimated sample size required to achieve a precision of ±0.05% with a 95% confidence interval (CI) was 450 females.

A highly significant increase in GMFM-88 scores was observed after 24 months of treatment compared to baseline when all children were evaluated together (n = 35; p = 0.000).

The relationship between the two dependent variables was also analysed, and a highly significant correlation was found between BMI z-score and body fat percentage (r = 0.539, p = 0.000). 3.3.