The SHOCKING Truth About Paired Vs. Unpaired Permutation Tests
Choose a paired test when the columns of data are matched. That means that values on the same row are related to each other. You measure a variable in. Use a paired permutation test: When you have paired data and want to compare differences within pairs while controlling for individual variability.
A permutation test involves two or. It makes perfect sense to have a permutation test on paired data: The first is that the test would be performed on the differences, and randomly permuting the order in the.