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).

Bibliographic Details
Main Author: Olsen, Wendy
Format: eBook
Language:English
Published: Cham Palgrave Macmillan 2022, 2022
Edition:1st ed. 2022
Subjects:
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