Systematic mixed-methods research for social scientists / / Wendy Kay Olsen

• Autore: Olsen Wendy Kay
• Pubblicazione: Cham, Switzerland : , : Springer International Publishing, , [2022]; ©2022
• Descrizione fisica: 1 online resource (256 pages)
• Disciplina: 300.72
• Soggetto topico: Social sciences - Research - Methodology; Social sciences - Data processing
• Nota di contenuto: Intro -- Preface -- How to Use This Book -- Acknowledgements -- Contents -- Abbreviations -- List of Figures -- List of Tables -- Introduction -- 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 -- Key Terminology -- An Illustration of Reflexivity About a Bar Chart -- 1.3 Triangulation -- 1.4 Three Domains of Reality, As Realists Approach Research -- Open Systems -- Distinguishing Reality and the Empirical -- Three Domains of Reality -- Retroduction (See Also Glossary) -- Forms of Integration of Mixed Methods -- 1.5 Conclusion -- Appendix -- References -- 2: Mixed Methods with Weakly Structuralist Regression Models -- 2.1 Modelling and Methodology for Mixed Methods -- Three Exemplars: A Range of Warranted Mixed-Methods Arguments -- Fourth Exemplar: Qualitative Online Data with Fuzzy Sets, Using Administrative Data -- 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 -- A S I M E (Structural-Institutional-Mechanisms-Event) Heuristic Framework For Regression -- 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 -- 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 -- Regression and MCA Can Be Grounded on Weak Structuralism -- 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 -- 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 -- In Conclusion: Pluralism and Encompassing Research Are Superior Methods -- 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. ; Example 8A: Epistemology and Discourse Analysis of a Database with NVivo Coding -- Example 8B: Rural Women and Work in a South Asian Context -- Example 8C: Discourses of Sri Lankan Banking Using NVivo Coding Across Genres -- 8.4 Conclusion -- Appendix -- References -- 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 -- Generating New Research Ideas -- References -- 11: Glossary -- Index.
• Titolo autorizzato: Systematic Mixed-Methods Research for Social Scientists
• ISBN: 9783030931483; 9783030931476
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910585784803321
• Lo trovi qui: Univ. Federico II