PosthocTests
PosthocTests, also known as post-hoc tests or multiple comparison tests, are statistical procedures used to determine which specific groups differ from one another after an initial analysis of variance (ANOVA) or other statistical tests indicates that there are significant differences among the groups. These tests are essential in experimental design and data analysis to avoid the problem of Type I error inflation, which occurs when multiple comparisons are made without adjusting for the increased likelihood of false positives.
PosthocTests are typically applied when an ANOVA test reveals that there is a significant difference among
Tukey's HSD, for example, is widely used because it controls the family-wise error rate, ensuring that the
PosthocTests are crucial in fields such as psychology, biology, and engineering, where researchers often need to