Model-based reasoning in the social sciences
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| Publication date | 2017 |
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| Book title | Springer Handbook of Model-Based Science |
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| Series | Springer handbooks |
| Pages (from-to) | 953–970 |
| Publisher | Cham: Springer |
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| Abstract |
Social scientists use different types of model to reason about social objects and to study social phenomena. In this chapter, I provide an overview of various forms of model-based reasoning in social research, especially quantitative and qualitative. In the course of the chapter, I highlight differences with other variants of model-based reasoning, notably the one inherited from logical positivism, and I discuss the use of experiments and simulation in social contexts. The chapter also investigates intersections between model-based reasoning and other notions, such as explanation and causality, truth and validity.
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| Document type | Chapter |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-319-30526-4_44 |
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