Scientific Discovery in the Social Sciences

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).