Abstract
To validate a treatment is to justify that it would contribute to stakeholder goals when implemented in the problem context. If the requirements for the treatment are specified and justified, then we can validate a treatment by showing that it satisfies its requirements. The central problem of treatment validation is that no real-world implementation is available to investigate whether the treatment contributes to stakeholder goals. Still, we want to predict what will happen if the treatment is implemented. This problem is explained in Sect. 7.1. To solve it, design researchers build validation models of the artifact in context and investigate these models (Sect. 7.2). Based on these modeling studies, researchers develop a design theory of the artifact in context and use this theory to predict the effects of an implemented artifact in the real world (Sect. 7.3). We review some of the research methods to develop and test design theories in Sect. 7.4. These methods play a role in the process of scaling up an artifact from the idealized conditions of the laboratory to the real-world conditions of practice. This is explained in Sect. 7.5.
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Wieringa, R.J. (2014). Treatment Validation. In: Design Science Methodology for Information Systems and Software Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43839-8_7
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