Articoli correlati a Qualitative Causal Inference and Explanation
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Combines qualitative methods and rigorous research design to explain real-world events with both causal validity and narrative power.
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Informazioni sull'autore
David Waldner is Associate Professor in the Department of Politics at the University of Virginia where he studies long-term political and economic development using case-study methods. He is the author of State Building & Late Development (Cornell University Press, 1999) and Rethinking the Resource Curse (with Benjamin Smith, Cambridge University Press, 2021), as well as many articles and book chapters on the dynamics of political regime change and qualitative methods.
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Qualitative Causal Inference And Explanation
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Qualitative Causal Inference and Explanation (Hardcover)
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Hardcover. Condizione: new. Hardcover. While existing qualitative, case-study methods deliver specific explanations, quantitative approaches to causal inference emphasize valid inferences at the expense of explanations. In this book, David Waldner presents a hybrid method drawing on both approaches to ensure that explanations are based on validly inferred causes and to avoid making valid inferences that have limited explanatory power. Qualitative Causal Inference and Explanation integrates a qualitative identification strategy based on graph-theoretic analysis into traditional process-tracing methods by introducing three novel methodological concepts: hypothetical interventions, invariant causal mechanisms, and event-history maps. This new approach provides clear and feasible standards for making valid, unit-level causal inferences. The result is a groundbreaking approach to explaining complex social and political phenomena, one that better avoids false positives while providing explanations that satisfy the criteria of explanatory depth, density, relevance, and unification. Rich explanations of real-world events require valid causal analysis. This book adapts quantitative causal inference for qualitative research, offering a rigorous framework for case studies. It blends methodological precision with explanatory depth, helping researchers produce compelling, causally sound accounts of social and political phenomena. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781009769563
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Qualitative Causal Inference and Explanation (Strategies for Social Inquiry)
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Qualitative Causal Inference and Explanation (Strategies for Social Inquiry)
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Qualitative Causal Inference and Explanation
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Buch. Condizione: Neu. Qualitative Causal Inference and Explanation | David Waldner | Buch | Englisch | 2026 | Cambridge University Press | EAN 9781009769563 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 135734237
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Qualitative Causal Inference And Explanation
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Qualitative Causal Inference and Explanation
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - While existing qualitative, case-study methods deliver specific explanations, quantitative approaches to causal inference emphasize valid inferences at the expense of explanations. In this book, David Waldner presents a hybrid method drawing on both approaches to ensure that explanations are based on validly inferred causes and to avoid making valid inferences that have limited explanatory power. Qualitative Causal Inference and Explanation integrates a qualitative identification strategy based on graph-theoretic analysis into traditional process-tracing methods by introducing three novel methodological concepts: hypothetical interventions, invariant causal mechanisms, and event-history maps. This new approach provides clear and feasible standards for making valid, unit-level causal inferences. The result is a groundbreaking approach to explaining complex social and political phenomena, one that better avoids false positives while providing explanations that satisfy the criteria of explanatory depth, density, relevance, and unification. Codice articolo 9781009769563
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Qualitative Causal Inference and Explanation (Hardcover)
Editore:
Cambridge University Press, Cambridge, 2026
ISBN 10: 1009769561
ISBN 13: 9781009769563
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Hardcover. Condizione: new. Hardcover. While existing qualitative, case-study methods deliver specific explanations, quantitative approaches to causal inference emphasize valid inferences at the expense of explanations. In this book, David Waldner presents a hybrid method drawing on both approaches to ensure that explanations are based on validly inferred causes and to avoid making valid inferences that have limited explanatory power. Qualitative Causal Inference and Explanation integrates a qualitative identification strategy based on graph-theoretic analysis into traditional process-tracing methods by introducing three novel methodological concepts: hypothetical interventions, invariant causal mechanisms, and event-history maps. This new approach provides clear and feasible standards for making valid, unit-level causal inferences. The result is a groundbreaking approach to explaining complex social and political phenomena, one that better avoids false positives while providing explanations that satisfy the criteria of explanatory depth, density, relevance, and unification. Rich explanations of real-world events require valid causal analysis. This book adapts quantitative causal inference for qualitative research, offering a rigorous framework for case studies. It blends methodological precision with explanatory depth, helping researchers produce compelling, causally sound accounts of social and political phenomena. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781009769563
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Qualitative Causal Inference and Explanation (Strategies for Social Inquiry)
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Condizione: New. 2026. hardcover. . . . . . Books ship from the US and Ireland. Codice articolo V9781009769563
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