001448514 000__ 06788cam\a2200421\a\4500
001448514 001__ 1448514
001448514 003__ OCoLC
001448514 005__ 20230310004243.0
001448514 006__ m\\\\\o\\d\\\\\\\\
001448514 007__ cr\un\nnnunnun
001448514 008__ 220803s2022\\\\sz\\\\\\ob\\\\001\0\eng\d
001448514 020__ $$a9783030931483$$q(ebook)
001448514 020__ $$a303093148X$$q(ebook)
001448514 020__ $$z9783030931476$$q(paperback)
001448514 0247_ $$a10.1007/978-3-030-93148-3$$2doi
001448514 035__ $$aSP(OCoLC)1338132172
001448514 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dUIU$$dOCLCQ
001448514 049__ $$aISEA
001448514 050_4 $$aH62
001448514 08204 $$a300.72$$223/eng/20220805
001448514 1001_ $$aOlsen, Wendy Kay,$$eauthor.
001448514 24510 $$aSystematic mixed-methods research for social scientists /$$cWendy Olsen.
001448514 260__ $$aCham, Switzerland :$$bSpringer,$$c2022.
001448514 300__ $$a1 online resource
001448514 504__ $$aIncludes bibliographical references and index.
001448514 5050_ $$aPart 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 -- 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 -- 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 -- 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.
001448514 506__ $$aAccess limited to authorized users.
001448514 520__ $$aThis textbook provides clear and accessible guidance on the importance and practical application of mixed-methods research. Professor Olsen presents a range of multiple mixed-methods techniques using quantified data. Critical realism underpins key arguments. She offers detailed examples based on wide experience with international applied social-science projects. The book shows readers how to join quantitative and qualitative data together. Detailed methods include: using multiple-level data; constructing new indices based on mixing survey responses and personal interviews; and using focus groups alongside a large survey. The book provides readers with linkages of data between different software packages. It explains the analysis stage in mixed-methods research, interprets complex causality, shows how to transform data, and helps with interpreting social structures, institutions, and discourses. Finally, the book covers some epistemological issues. These include the nature and value of data. The author discusses validity and techniques for ensuring relevant, innovative conclusions. The book also touches on action research as an overarching participatory method. This book is based on clear and explicit definitions, is accessible to students and researchers across disciplines, and shows the appeal of mixed-methods research to those trained in quantitative methods. Wendy Olsen is Professor of Socio-Economics at the University of Manchester, UK. She researches employment, informal work, gender, norms, and labour markets. Her books include Rural Indian Social Relations (1996), Realist Methodology (ed., 4 volumes, 2010), and Data Collection (2012). .
001448514 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 5, 2022).
001448514 650_0 $$aMixed methods research.
001448514 655_0 $$aElectronic books.
001448514 77608 $$iPrint version:$$aOlsen, Wendy Kay.$$tSystematic mixed-methods research for social scientists.$$dCham, Switzerland : Springer, [2022]$$z9783030931476$$w(OCoLC)1285571116
001448514 852__ $$bebk
001448514 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-93148-3$$zOnline Access$$91397441.1
001448514 909CO $$ooai:library.usi.edu:1448514$$pGLOBAL_SET
001448514 980__ $$aBIB
001448514 980__ $$aEBOOK
001448514 982__ $$aEbook
001448514 983__ $$aOnline
001448514 994__ $$a92$$bISE