Federica Russo – författare
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The Routledge Handbook of Causality and Causal Methods adopts a pluralistic, interdisciplinary approach to causality. It formulates distinct questions and problems of causality as they arise across scientific and policy fields. Exploring, in a comparative way, how these questions and problems are addressed in different areas, the Handbook fosters dialogue and exchange. It emphasizes the role of the researchers and the normative considerations that arise in the development of methodological and empirical approaches. The Handbook includes authors from all over the world and with many different disciplinary backgrounds, and its 50 chapters appear in print here for the first time. The chapters are organized into the following seven parts:
Causal Pluralism from Theory to Practice Causal Theory and the Role of Researchers Features of Causal Systems Causal Methods, Experimentation and Observation Measurement and Data Causality, Knowledge, and Action Causal Theory across Disciplinary BordersEssential reading for scholars interested in an interdisciplinary approach to causality and causal methods, the volume is also a valuable resource for advanced undergraduates as well as for graduate students interested in delving into the rich field of causality.
Chapters 15 and 36 of this book are freely available as downloadable Open Access PDFs at http://www.taylorfrancis.com under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.
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The Routledge Handbook of Causality and Causal Methods adopts a pluralistic, interdisciplinary approach to causality. It formulates distinct questions and problems of causality as they arise across scientific and policy fields. Exploring, in a comparative way, how these questions and problems are addressed in different areas, the Handbook fosters dialogue and exchange. It emphasizes the role of the researchers and the normative considerations that arise in the development of methodological and empirical approaches. The Handbook includes authors from all over the world and with many different disciplinary backgrounds, and its 50 chapters appear in print here for the first time. The chapters are organized into the following seven parts:
Causal Pluralism from Theory to Practice Causal Theory and the Role of Researchers Features of Causal Systems Causal Methods, Experimentation and Observation Measurement and Data Causality, Knowledge, and Action Causal Theory across Disciplinary BordersEssential reading for scholars interested in an interdisciplinary approach to causality and causal methods, the volume is also a valuable resource for advanced undergraduates as well as for graduate students interested in delving into the rich field of causality.
Chapters 15 and 36 of this book are freely available as downloadable Open Access PDFs at http://www.taylorfrancis.com under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.
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The anti-causal prophecies of last century have been disproved. Causality is neither a ‘relic of a bygone’ nor ‘another fetish of modern science’; it still occupies a large part of the current debate in philosophy and the sciences.
This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models: e.g. Rubin’s model, contingency tables, and multilevel analysis. It is also shown to be latent – yet fundamental – in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability.
This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science.
"Dr. Federica Russo''s book is a very valuable addition to a small number of relevant publications on causality and causal modelling in the social sciences viewed from a philosophical approach". (Prof. Guillaume Wunsch, Institute of Demography, University of Louvain, Belgium)
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Causality and Causal Modelling in the Social Sciences
Measuring Variations
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