Type M error

Definition: A Type M error occurs when a researcher concludes that an effect was observed with magnitude lower or higher than the real one. For example, a type M error occurs when a researcher claims that an effect of small magnitude was observed when it is large in truth or vice versa.

Related terms: <a href='/glossary/statistical-power/'>Statistical power</a>, <a href='/glossary/type-s-error/'>Type S error</a>, <a href='/glossary/type-i-error/'>Type I error</a>, <a href='/glossary/type-ii-error/'>Type II error</a>

References: Gelman and Carlin (2014), & Lu et al.(2018)

Drafted and Reviewed by: Eduardo Garcia-Garzon, Mahmoud Elsherif, Helena Hartmann, Graham Reid, Mirela Zaneva

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