Sprache: Englisch
Verlag: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
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In den WarenkorbZustand: New. 2023. hardcover. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press Nov 2023, 2023
ISBN 10: 1107169623 ISBN 13: 9781107169623
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: 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.