Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
Da: Books Puddle, New York, NY, U.S.A.
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
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Lingua: Inglese
Editore: Cambridge University Press Nov 2023, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - There is a growing consensus in the social sciences on the virtues of research strategies that combine quantitative with qualitative tools of inference. Integrated Inferences develops a framework for using causal models and Bayesian updating for qualitative and mixed-methods research. By making, updating, and querying causal models, researchers are able to integrate information from different data sources while connecting theory and empirics in a far more systematic and transparent manner than standard qualitative and quantitative approaches allow. This book provides an introduction to fundamental principles of causal inference and Bayesian updating and shows how these tools can be used to implement and justify inferences using within-case (process tracing) evidence, correlational patterns across many cases, or a mix of the two. The authors also demonstrate how causal models can guide research design, informing choices about which cases, observations, and mixes of methods will be most useful for addressing any given question.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 254,60
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Lingua: Inglese
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
Da: CitiRetail, Stevenage, Regno Unito
EUR 131,64
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. There is a growing consensus in the social sciences on the virtues of research strategies that combine quantitative with qualitative tools of inference. Integrated Inferences develops a framework for using causal models and Bayesian updating for qualitative and mixed-methods research. By making, updating, and querying causal models, researchers are able to integrate information from different data sources while connecting theory and empirics in a far more systematic and transparent manner than standard qualitative and quantitative approaches allow. This book provides an introduction to fundamental principles of causal inference and Bayesian updating and shows how these tools can be used to implement and justify inferences using within-case (process tracing) evidence, correlational patterns across many cases, or a mix of the two. The authors also demonstrate how causal models can guide research design, informing choices about which cases, observations, and mixes of methods will be most useful for addressing any given question. Introduces a Bayesian approach to the use of causal models to design and carry out qualitative and mixed-methods research. Addressed to researchers across the social sciences, this book shows how causal models allow us to combine extensive and intensive data strategies to answer both general and case-specific causal questions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
Da: Majestic Books, Hounslow, Regno Unito
EUR 177,54
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 179,37
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