Isbn: 9781009769563 - qualitative causal inference and explanation (12 risultati)

Hardback. Condizione: New. 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.…

Condizione: New.

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

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

Condizione: New. 2026. hardcover. . . . . .

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.…

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 multiple locations in the US or from the UK, depending on stock availability.…

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.…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

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.

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.…