Type 1 vs Type 2 error Type 1 is a false positive, saying something is due to an effect when it is due to chance Type 2 is a false negative, saying something occurred due to chance when it is due to a real effect If you increase the significance level - eg go from .05 to 1 - you increase the chance of false positives or type 1 errors