PSY 350 Lecture Notes - Lecture 26: Type I And Type Ii Errors, Statistical Power, Effect Size
Document Summary
Explain when and why we should be concerned about type ii error. Identify strategies to minimize type ii error in the research design stage. Explain the connection between type ii error, statistical power, and sample size. Concluding that there is no effect, when in reality there is an effect. Failing to use a treatment that would help. Abandoning a line of research that would have been productive. It"s hard to find an effect, even a real effect, if you have: Confounding variables that counteract the impact of your variables. Think carefully about study administration and potential confounds. The probability that ho will be rejected when it is false, that is, the probability of obtaining a significant result. 1 - power = which is the probability of not rejecting ho when it is false. Unlike , we cannot just choose a single number to indicate statistical power. We need more information about the study design.
