Systematic Mixed-Methods Research for Social Scientists
Wendy Olsen is Professorof Socio-Economics at the University of Manchester, UK. She researches employment, informal work, gender, norms, and labour markets. Her books include Rural Indian Social Relations (1996), Realist Methodology (ed., 4 volumes, 2010), and Data Collection (2012).
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Format: | eBook |
Language: | English |
Published: |
Cham
Palgrave Macmillan
2022, 2022
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Edition: | 1st ed. 2022 |
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Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 4.1 Multiple Logics in Statistical Research: Some Exemplars
- 4.2 An Exemplar Using Participatory Research with Panel Data
- 4.3 A Statistical Exemplar with a Randomised Control Trial for a Social Intervention
- 4.4 Warranted Arguments and Two Caveats for Strategic Structuralism
- 4.5 An Exemplar Using Correspondence Analysis Without Regression
- Appendix
- References
- 5 Factor Analysis in a Mixed-Methods Context
- 5.1 Latent Variables and Entities
- 5.2 One Could Use Exploratory or Confirmatory Factor Analysis
- 5.3 Measurement Issues for the Manifest Variables in a Confirmatory Model
- 5.4 Mixed-Methods Research Designs Using Latent Variables
- 5.5 Whether to Use Scoping Analysis or Primary Field Research
- 5.6 Research Scope and Feedback Loops
- 5.7 Closed and Open Retroduction in a Factor Analysis Context
- 5.8 The Ontological Element
- 5.9 Conclusion
- References
- 6 Qualitative Comparative Analysis (QCA): A Classic Mixed Method Using Theory
- Part III Interpretation and the Validity of Research
- 9 Interpretations, Meanings, and Validity in Mixed-Methods Research.-9.1 Truth Is Not Simple in a Complex Society
- 9.2 Epistemology for Late-Modern Mixed Methods
- 9.3 Falsifying Hypotheses: Possible and Desirable, but Not Necessary
- 9.4 A Retroductive Approach
- 9.5 Conclusion
- References
- 10 Summary of the Logics and Methods for Systematic Mixed-Methods Research
- 10.1 Induction
- 10.2 Deduction
- 10.3 Retroduction
- 10.4 Synthesis
- 10.5 Recognising Relevant Irreducible Phenomena (Holism)
- 10.6 Logical Linkage
- 10.7 Conclusion
- References
- 11 Glossary
- Part I Setting Up Systematic Mixed Methods Research (SMMR)
- 1 Mixed Methods for Research on Open Systems
- 1.1 The Link Between Quantification and Mixed Methods
- 1.2 A Conceptual Introduction to Methodology and Ontology
- 1.3 Triangulation
- 1.4 Three Domains of Reality, As Realists Approach Research
- 1.5 Conclusion
- Appendix
- References
- 2 Mixed Methods with Weakly Structuralist Regression Models
- 2.1 Modelling and Methodology for Mixed Methods
- 2.2 Strategic Structuralism
- 2.3 Logics Used in Strategic Structuralist Research
- 2.4 Conclusion
- Appendix
- References
- Part II SMMR Approaches in Practical Terms
- 3 Causality in Mixed-Methods Projects That Use Regression
- 3.1 Causality in a Regression Model
- 3.2 Stages of Research Design Amendment for Mixed-Methods Research
- 3.3 Deduction Cannot Stand Alone
- 3.4 A Quantitatively Complex Example
- 3.5 Conclusion
- References
- 4 Multiple Logics in Systematic Mixed-Methods Research
- 6.1 QCA Is an Umbrella Over Many Procedures
- 6.2 Tables Help to Summarise Qualitative Comparative Evidence
- 6.3 Data Reduction Has Been Well Theorised
- 6.4 Threshold Tests, Quasi-Sufficiency, and Next Steps in QCA
- 6.5 Conclusion
- Appendix
- References
- 7 Calibration of Fuzzy Sets, Calibration of Measurement: A Realist Synthesis
- 7.1 Two Forms of Calibration: Ordered Categories or Fuzzy Sets
- 7.2 Features of Multiple Hypothesis Tests Using Fuzzy Sets
- 7.3 Asymmetry of the Causal Mechanisms? Issues Around Counterfactuals
- 7.4 How to Make and Illustrate Deep Linkages
- Appendix
- References
- 8 From Content Analysis to Discourse Analysis: Using Systematic Analysis of Meanings and Discourses
- 8.1 Methods of Qualitative Analysis and Elaboration of Findings
- 8.2 Qualitative Methods, with a Content Analysis Example
- 8.3 Three Illustrations Demonstrating Deep Arguments Based on Depth Ontology
- 8.4 Conclusion
- Appendix
- References