For IRI-PT, gender differences were statistically significant in Years 1 and 2, but not in Year 3, with differences in mean scores for men and women of 0.25 to 0.47 of a standard deviation unit in Years 1 and 2 respectively.
For IRI-PT, gender differences were statistically significant Years 4 and 5, but not in Year 6, with differences in the mean scores for men and women of 0.31 and 0.47 of a standard deviation unit in Years 4 and 5 respectively.
(Table 3) For IRI-EC, gender differences were statistically significant at each year of the course, with differences in mean scores for men and women ranging from 0.42 to 0.73 of a standard deviation unit.
However, even for these two methods, less than a quarter of the evaluations are greater than a standard deviation unit.
(Table 3) For IRI-EC, gender differences were statistically significant at each stage of the course, with differences in the mean scores for men and women ranging from 0.56 to 0.72 of a standard deviation unit.
These numbers will be sufficient to detect a one-half standard deviation unit difference in self-reported fatigue.
A τ of 0.06 corresponds to a difference between smallest and largest effect sizes of about 1 standard deviation unit.
a: per 50 cells/mm; b: Body Mass Index; c: Viral Load; d: per standard deviation unit.
The latter difference was greater than 1 standard deviation unit of the EBV|FecL (σ = 0.192).
When expressed in genetic standard deviation units, the average differences observed confirmed that the elite group for milk yield presented different characteristics than the "randomly selected" group or for SCC.
Given the strong correlations among these measures, we had 80% statistical power to detect a difference of 0.16 standard deviation units at a 5% significance level.
