Type S error

Definition: A Type S error occurs when a researcher concludes that an effect was observed with an opposite sign than real one. For example, a type S error occurs when a researcher claims that a positive effect was observed when it is negative in reality or vice versa.

Related terms: <a href='/glossary/statistical-power/'>Statistical power</a>, <a href='/glossary/type-m-error/'>Type M 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, Helena Hartmann, Sam Parsons, Graham Reid, Mirela Zaneva

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