The phrase "adjust significance" is correct and usable in written English.
It can be used when discussing the modification or alteration of the importance or meaning of something in a specific context.
Example: "In order to better understand the results, we need to adjust significance based on the new data we have collected."
Alternatives: "modify importance" or "alter relevance".
Significant results were assessed by Fisher's exact post hoc tests that adjust significance levels to take multiple comparisons into account.
Pearson χ2 contingency tests were performed in R using the coin package [39], with Holm's correction [40] to adjust significance at α = 0.05 for multiple comparisons.
To control for family-wise Type I errors when doing multiple correlational analyses a sequential Bonferroni procedure was used to adjust significance levels [32].
Bonferroni corrections were used to adjust significance thresholds across multiple tests.
This a priori ordering eliminated the need to adjust significance levels for multiple testing.
Sequential Bonferroni corrections [ 76] were applied to adjust significance levels from separate analyses concerning space and time, respectively.
After a Bonferroni correction (six comparisons carried out, original α=0.05, adjusted significance level=0.05/6=0.008) there was no statistically significant difference between England and Scotland, or between Wales and Northern Ireland (Wald χ 0.506, df=1, p=0.477; 5.76, df=1, p=0.016).
None of these interaction effects remained significant upon correction using the Bonferroni criterion (adjusted significance level: p < 0.003), and we therefore did not stratify our sample according to gender or race.
These tests were not considered significant after applying Bonferroni corrections for multiple tests (adjusted significance level: α' = 0.009).
After adjusting significance levels to account for multiple simultaneous comparisons, five sample locations possessed significant FIS values, or heterozygote deficiencies (Table 1).
Adjusted significance values at an alpha level of 0.05 for three measures per construct were p adjusted = 0.017, p adjusted = 0.025, and p adjusted = 0.05, in order of the size of obtained effects.
