Type I error
When research outcomes result in a false positive, meaning they are interpreted as effective when actually they were not.
D. Experimental Design
Type II error
When research outcomes result in a false negative, meaning they are interpreted as ineffective when actually they were effective.
Verification
Demonstrating that the independent variable alone is responsible for the effect on the dependent variable by removing the independent variable and observing the dependent variable return to baseline levels.
Warm-up effects
Refers to when initial response rates in baseline are weaker due to a subject needing to get warmed up.