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Paperback or Softback. Condition: New. Set-Theoretic Multi-Method Research: A Guide to Combining Qca and Case Studies. Book.
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Published by Cambridge University Press Feb 2024, 2024
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Taschenbuch. Condition: Neu. Neuware - 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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Published by Cambridge University Press, 2024
ISBN 10: 1009307142 ISBN 13: 9781009307147
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Published by Cambridge University Press Feb 2024, 2024
ISBN 10: 1009307142 ISBN 13: 9781009307147
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Buch. Condition: Neu. Neuware - 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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Published by Cambridge University Press, 2024
ISBN 10: 1009307193 ISBN 13: 9781009307192
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Published by Cambridge University Press, 2024
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Published by Cambridge University Press, 2024
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Hardcover. Condition: Brand New. 180 pages. 9.00x6.00x0.69 inches. In Stock. This item is printed on demand.
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