Anova Multiple Comparisons Calculator. The one-way or one-factor ANOVA test for independent measures is designed to compare the means of three or more independent samples treatments simultaneously. The Bonferroni correction suggests that a more stringent signi cance level is more appropriate for these tests.
A two-way ANOVA is used to estimate how the mean of a quantitative variable changes according to the levels of two. Typically the independent variable is either time eg depression is measured. If you do not control the simultaneous confidence level the chance that at least one confidence interval does not contain the true difference increases with the number of comparisons.
Open the One-Way ANOVA dialog box.
Feb 23 2021 First divide 001 by 6 number of comparisons which is 0001667. Pairwise comparisons for One-Way ANOVA. Select maternal role adaptation for the Dependent List since it is the dependent variable. Kruskal-Wallis rank sum test for independent multiple samples with follow-up post-hoc multiple comparison tests by the 1 Conover 2 Dunn and 3 Nemenyi methods.
