Type I error
When research outcomes result in a false positive, meaning they are interpreted as effective when actually they were not.
D.6 Critique and interpret data from single-case experimental designs.
Type II error
When research outcomes result in a false negative, meaning they are interpreted as ineffective when actually they were effective.