Handbook of Causal Analysis for Social Research, Stephen L. Morgan

Автор: Federica Russo
Название: Causality and Causal Modelling in the Social Sciences
ISBN: 9048179963 ISBN-13(EAN): 9789048179961
Издательство: Springer
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Описание: This investigation into causal modelling presents the rationale of causality; i.e. what guides reasoning in causal modeling. In contrast to the dominant paradigm, it argues that causal models are governed by a variation, rather than regularity or invariance.

Автор: Stephen L. Morgan
Название: Handbook of Causal Analysis for Social Research
ISBN: 9401794073 ISBN-13(EAN): 9789401794077
Издательство: Springer
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Цена: 9146.00 р.
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Описание: This book reviews the tremendous progress of the past 15 years in the causal analysis of non-experimental data, also known as observational data, and shows how to use state-of-the-art methods for causal analysis in basic and applied empirical scholarship.

Автор: Henriette Engelhardt; Hans-Peter Kohler; Alexia F?
Название: Causal Analysis in Population Studies
ISBN: 9048182328 ISBN-13(EAN): 9789048182329
Издательство: Springer
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Описание: The counterfactual approach to estimate effects of causes from quasi-experimental data or from observational studies was first proposed by Rubin in 1974 and further developed by James Heckman and others.This book presents both theoretical contributions and empirical applications of the counterfactual approach to causal inference.

Автор: Stephen L. Morgan, Christopher Winship
Название: Counterfactuals and Causal Inference: Methods and Principles for Social Research, 2 ed.
ISBN: 1107065070 ISBN-13(EAN): 9781107065079
Издательство: Cambridge Academ
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Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.

Автор: Morgan
Название: Counterfactuals and Causal Inference
ISBN: 1107694167 ISBN-13(EAN): 9781107694163
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.

Автор: Rohlfing
Название: Case Studies and Causal Inference
ISBN: 0230240704 ISBN-13(EAN): 9780230240704
Издательство: Springer
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Цена: 10366.00 р.
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Описание: A discussion of the case study method which develops an integrative framework for causal inference in small-n research. This framework is applied to research design tasks such as case selection and process tracing. The book presents the basics, state-of-the-art and arguments for improving the case study method and empirical small-n research.

Автор: Jakub Karpinski
Название: Causality in Sociological Research
ISBN: 9401067090 ISBN-13(EAN): 9789401067096
Издательство: Springer
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Описание: The general treatment of problems connected with the causal conditioning of phenomena has traditionally been the domain of philosophy, but when one examines the relationships taking place in the various fields, the study of such conditionings belongs to the empirical sciences.