Scientific Discovery in the Social Sciences
| Corporate Author: | |
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| Other Authors: | , , , |
| Summary: | VIII, 192 p. 6 illus., 1 illus. in color. text |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Synthese Library, Studies in Epistemology, Logic, Methodology, and Philosophy of Science,
413 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-23769-1 |
| Format: | Electronic Book |
Table of Contents:
- Chapter 1. Introduction (Fernand Gobet, Mark Addis, Peter C. R. Lane, Peter D. Sozou)
- Part I: Methods of Scientific Discovery
- Chapter 2. Case Studies and Statistics in Causal Analysis: The Role of Bayesian Narratives (Peter Abell and Maria Koumenta)
- Chapter 3. Scale Development in Human and Social Sciences: A Philosophical Perspective (Clayton Peterson)
- Chapter 4. The Role of Imagination in Social Scientific Discovery: Why Machine Discoverers Will Need Imagination Algorithms (Michael Stuart)
- Chapter 5. The Structure of Scientific Fraud: The Relationship Between Paradigms and Misconduct (Ben Trubody)
- Part II: Discovery in Practice
- Chapter 6. Information in Financial Markets (Catherine Greene)
- Chapter 7. The Logic of Scientific Discovery in Macroeconomics (Tobias Henschen)
- Chapter 8. Discovering Solidarity: Research on Solidarity as a Case of a That-What Discovery (Jakub B. Motrenko)
- Part III: Formalising Theories in Social Science
- Chapter 9. Syntax, Semantics and the Formalisation of Social Science Theories (Maria Dimarogkona, Mark Addis and Petros Stefaneas)
- Chapter 10. Semi-Automatic Generation of Cognitive Science Theories (Mark Addis, Fernand Gobet, Peter C. R. Lane and Peter D. Sozou)
- Chapter 11. Scientific Discovery, Process Models, and the Social Sciences (Pat Langley and Adam Arvay).