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: Statistical power, Type S error, Type I error, Type II error
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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