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Effect Size FAQs

Research that matters, results that make sense

Author: Paul Ellis

I always get confused about Type I and II errors. Can you show me something to help me remember the difference?

May 31, 2010January 23, 2022Paul Ellis3 Comments

Type I errors, also known as false positives, occur when you see things that are not there. Type II errors, or false negatives, occur when you don’t see things that are there (see Figure below).

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“The primary product of a research inquiry is one or more measures of effect size, not p values.”
~ Jacob Cohen

“Statistical significance is the least interesting thing about the results. You should describe the results in terms of measures of magnitude – not just, does a treatment affect people, but how much does it affect them.”
~ Gene Glass

“Investigators must learn to argue for the significance of their results without reference to inferential statistics.”
~ John P. Campbell

“No economist has achieved scientific success as a result of a statistically significant coefficient.”
~ D. McCloskey and S. Ziliak

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