Abstract
The assurance of model validity is a prominent challenge in the social sciences (Grösser & Schwaninger, 2012: 157; Schwaninger, 2010: 1422). Surely, it is an uncontroversial and unambiguous matter in pure mathematics – namely, a matter of formal accuracy rather than practical use. Such mathematical models or pure analytic statements “do not make any assertion about the empirical world, but simply record our determination to use symbols in a certain fashion” (Ayer, 1952: 31) and, therefore, they can be shown to be either true or false.
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Hoffmann, C.H. (2017). Model Validation. In: Assessing Risk Assessment. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-20032-9_20
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DOI: https://doi.org/10.1007/978-3-658-20032-9_20
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Publisher Name: Springer Gabler, Wiesbaden
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Online ISBN: 978-3-658-20032-9
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