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Three significance tests were applied, including the matched pair (MP) sentence segment (word error) test, the signed paired (SI) comparison test (speaker word accuracy rate), and the Wilcoxon (WI) signed rank test (speaker word accuracy rate).

We used three significance thresholds in order to have inclusive and conservative lists of differentiated probes: a bonferroni-corrected p<0.05, and two false discovery rate (FDR) thresholds: FDR<0.01 and FDR<0.05 [39].

Three significance levels including chromosome-wide, genome-wide and suggestive were considered in this study.

Results were classified into three significance levels using the P value of 0.05, 0.01, and 0.001.

An all-pairwise post hoc analysis (Holm-Sidak) allowed the assignment of three significance levels indicated by letters (p≤0.05 between levels).

Putative QTL were declared at two significance thresholds: significant (genome-wide type I error α = 0.05) and suggestive (chromosome-wide type I error rate α = 0.05).

Of the three significance-based methods compared, only TBEST reproduces the truth to the maximal extent possible for both combinations of dissimilarity and linkage, and it does so stably in the broadest range of the levels of significance.

Pearson's correlation analyses were carried out using two significance levels (P ≤ 0.05 and 0.01).

The results are shown in Table 1 for two significance levels corresponding to the boundary values (0.05 and 0.001).

Finally, the findings of this study showed that five significance predictors contributed 60.40 percent of the total variance of risk management.