Isbn: 9781009769563 - qualitative causal inference and explanation (strategies for social inquiry) (11 resultados)

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  • Idioma: Inglés

    Editorial: Cambridge University Press, 2026

    1009769561 / 9781009769563

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    Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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    Editorial: Cambridge University Press, 2026

    1009769561 / 9781009769563

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    Hardcover. Condición: Brand New. 380 pages. 6.69x0.88x9.61 inches. In Stock.

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2026

    1009769561 / 9781009769563

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    Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore

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    Condición: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2026

    1009769561 / 9781009769563

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    Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.

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  • Idioma: Inglés

    Editorial: Cambridge University Press, 2026

    1009769561 / 9781009769563

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 288,15

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    Buch. Condición: 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.

  • Idioma: Inglés

    Editorial: Cambridge University Press, Cambridge, 2026

    1009769561 / 9781009769563

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Condición: Nuevo

    EUR 167,95

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    Hardcover. Condición: 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 multiple locations in the US or from the UK, depending on stock availability.

  • Idioma: Inglés

    Editorial: Cambridge University Press, Cambridge, 2026

    1009769561 / 9781009769563

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    EUR 138,18

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    Hardcover. Condición: 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.

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2026

    1009769561 / 9781009769563

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    Condición: Nuevo

    EUR 190,83

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    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2026

    1009769561 / 9781009769563

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    EUR 195,80

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    Condición: New. PRINT ON DEMAND.

  • Idioma: Inglés

    Editorial: Cambridge University Press, 2026

    1009769561 / 9781009769563

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    EUR 144,90

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    Buch. Condición: 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.

  • Idioma: Inglés

    Editorial: Cambridge University Press, Cambridge, 2026

    1009769561 / 9781009769563

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    Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    Condición: Nuevo

    EUR 194,80

    Envío por EUR 31,92 
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    Cantidad disponible: 1 disponibles

    Hardcover. Condición: 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.