A research study rarely involves just one single statistical test. And multiple testing can result in more statistically significant findings just by chance.
After all, with the typical Type I error rate of 5% used in most tests, we are allowing ourselves to “get lucky” 1 in 20 times for each test. When you figure out the probability of Type I error across all the tests, that probability skyrockets.
[Read more…] about Member Training: Adjustments for Multiple Testing: When and How to Handle Multiplicity