Sinossi
A state-of-the-art comprehensive exposition of combining Qualitative Comparative Analysis (QCA) and case studies, this book facilitates the efficient use and independent learning of this form of SMMR (set-theoretic multi-method research) with the best available software. It will reduce the time and effort required when performing both QCA and case studies within the same research project. This is achieved by spelling out the conceptual principles and practices in SMMR, and by introducing a tailor-made R software package. With an applied and practical focus, this is an intuitive resource for implementing the most complete protocol of SMMR. Features include Learning Goals, Core Points, and Empirical Examples, as well as boxed examples of R codes and the R output it produces. There is also a glossary for key SMMR terms. Additional online material is available, comprising machine-readable datasets and R scripts for replication and independent learning.
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Hardcover. Condizione: new. Hardcover. A state-of-the-art comprehensive exposition of combining Qualitative Comparative Analysis (QCA) and case studies, this book facilitates the efficient use and independent learning of this form of SMMR (set-theoretic multi-method research) with the best available software. It will reduce the time and effort required when performing both QCA and case studies within the same research project. This is achieved by spelling out the conceptual principles and practices in SMMR, and by introducing a tailor-made R software package. With an applied and practical focus, this is an intuitive resource for implementing the most complete protocol of SMMR. Features include Learning Goals, Core Points, and Empirical Examples, as well as boxed examples of R codes and the R output it produces. There is also a glossary for key SMMR terms. Additional online material is available, comprising machine-readable datasets and R scripts for replication and independent learning. A comprehensive introduction to combining Qualitative Comparative Analysis (QCA) and case studies using R software. With its practical focus, this book facilitates the efficient and independent learning of SMMR (set-theoretic multi-method research) for students, researchers, and practitioners in the social sciences. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781009307147
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Set-Theoretic Multi-Method Research: A Guide to Combining QCA and Case Studies (Methods for Social Inquiry)
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Set-theoretic Multi-method Research : A Guide to Combining Qca and Case Studies
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ISBN 10: 1009307142
ISBN 13: 9781009307147
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Set-Theoretic Multi-Method Research (Hardcover)
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Cambridge University Press, Cambridge, 2024
ISBN 10: 1009307142
ISBN 13: 9781009307147
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Hardcover. Condizione: new. Hardcover. A state-of-the-art comprehensive exposition of combining Qualitative Comparative Analysis (QCA) and case studies, this book facilitates the efficient use and independent learning of this form of SMMR (set-theoretic multi-method research) with the best available software. It will reduce the time and effort required when performing both QCA and case studies within the same research project. This is achieved by spelling out the conceptual principles and practices in SMMR, and by introducing a tailor-made R software package. With an applied and practical focus, this is an intuitive resource for implementing the most complete protocol of SMMR. Features include Learning Goals, Core Points, and Empirical Examples, as well as boxed examples of R codes and the R output it produces. There is also a glossary for key SMMR terms. Additional online material is available, comprising machine-readable datasets and R scripts for replication and independent learning. A comprehensive introduction to combining Qualitative Comparative Analysis (QCA) and case studies using R software. With its practical focus, this book facilitates the efficient and independent learning of SMMR (set-theoretic multi-method research) for students, researchers, and practitioners in the social sciences. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781009307147
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