Realist inquiry in social sciences / Brian D. Haig and Colin W. Evers.
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| Published: |
London :
Sage publications,
2016.
London SAGE Publications Ltd., 2016. |
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| Format: | Book |
Table of Contents:
- Machine generated contents note: 1.Scientific Realism
- Introduction
- What is Realism?
- Naturalistic Realism
- Global and Local Realism
- Realist Methodology
- The Centrality of Method
- Realism in the Social Sciences
- Conclusion
- Further Reading
- References
- 2.Evidence
- Introduction
- Social Science Preliminaries
- Empirical Evidence and Theory
- Coherentism and Naturalism
- Varieties of Evidence: Pragmatic Considerations
- Conclusion
- Further Reading
- References
- 3.Validity
- Introduction
- Test Validity, Operational Definition and Logical Empiricism
- Holism, Realism and Ontological Commitment
- Construct Validity and Logical Empiricism
- Construct Validity, Generalization in Experiments and Epistemology
- Paradigms of Validity
- Coherence Justification
- Conclusion
- Further Reading
- References
- 4.Grounded Theory Method
- Introduction
- The Abductive Theory of Method
- Problem Formulation
- Phenomena Detection
- Note continued: Theory Construction
- ATOM as a Grounded Theory Method
- Conclusion
- Further Reading
- References
- 5.Factor Analysis
- Introduction
- Exploratory Factor Analysis and Scientific Inference
- Methodological Challenges to Exploratory Factor Analysis
- EFA and Other Factor Analytic Methods
- Conclusion
- Further Reading
- References
- 6.Case Study
- Introduction
- Constitutive and Regulative Rules
- What is a Case?
- Generalizing From Cases
- A Case Study in China
- Making Generalizations
- Improving Knowledge of Generalizations
- Conclusion
- Further Reading
- References.
