Causality and Causal Modelling in the Social Sciences

Causality and Causal Modelling in the Social Sciences

Author: Federica Russo

Publisher: Springer Science & Business Media

Published: 2008-09-18

Total Pages: 236

ISBN-13: 1402088175

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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. 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.


Book Synopsis Causality and Causal Modelling in the Social Sciences by : Federica Russo

Download or read book Causality and Causal Modelling in the Social Sciences written by Federica Russo and published by Springer Science & Business Media. This book was released on 2008-09-18 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. 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.


Handbook of Causal Analysis for Social Research

Handbook of Causal Analysis for Social Research

Author: Stephen L. Morgan

Publisher: Springer Science & Business Media

Published: 2013-04-22

Total Pages: 423

ISBN-13: 9400760949

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What constitutes a causal explanation, and must an explanation be causal? What warrants a causal inference, as opposed to a descriptive regularity? What techniques are available to detect when causal effects are present, and when can these techniques be used to identify the relative importance of these effects? What complications do the interactions of individuals create for these techniques? When can mixed methods of analysis be used to deepen causal accounts? Must causal claims include generative mechanisms, and how effective are empirical methods designed to discover them? The Handbook of Causal Analysis for Social Research tackles these questions with nineteen chapters from leading scholars in sociology, statistics, public health, computer science, and human development.


Book Synopsis Handbook of Causal Analysis for Social Research by : Stephen L. Morgan

Download or read book Handbook of Causal Analysis for Social Research written by Stephen L. Morgan and published by Springer Science & Business Media. This book was released on 2013-04-22 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: What constitutes a causal explanation, and must an explanation be causal? What warrants a causal inference, as opposed to a descriptive regularity? What techniques are available to detect when causal effects are present, and when can these techniques be used to identify the relative importance of these effects? What complications do the interactions of individuals create for these techniques? When can mixed methods of analysis be used to deepen causal accounts? Must causal claims include generative mechanisms, and how effective are empirical methods designed to discover them? The Handbook of Causal Analysis for Social Research tackles these questions with nineteen chapters from leading scholars in sociology, statistics, public health, computer science, and human development.


Causality in a Social World

Causality in a Social World

Author: Guanglei Hong

Publisher: John Wiley & Sons

Published: 2015-06-09

Total Pages: 443

ISBN-13: 1119030609

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Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions using application examples, and compares innovative statistical strategies with conventional analysis methods. Whilst highlighting the crucial role of good research design and the evaluation of assumptions required for identifying causal effects in the context of each application, the author demonstrates that improved statistical procedures will greatly enhance the empirical study of causal relationship theory. Applications focus on interventions designed to improve outcomes for participants who are embedded in social settings, including families, classrooms, schools, neighbourhoods, and workplaces.


Book Synopsis Causality in a Social World by : Guanglei Hong

Download or read book Causality in a Social World written by Guanglei Hong and published by John Wiley & Sons. This book was released on 2015-06-09 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions using application examples, and compares innovative statistical strategies with conventional analysis methods. Whilst highlighting the crucial role of good research design and the evaluation of assumptions required for identifying causal effects in the context of each application, the author demonstrates that improved statistical procedures will greatly enhance the empirical study of causal relationship theory. Applications focus on interventions designed to improve outcomes for participants who are embedded in social settings, including families, classrooms, schools, neighbourhoods, and workplaces.


Revitalizing Causality

Revitalizing Causality

Author: Ruth Groff

Publisher: Routledge

Published: 2007-12-18

Total Pages: 282

ISBN-13: 1134193661

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This cutting edge collection of new and previously published articles by philosophers and social scientists addresses just what it means to invoke causal mechanisms, or powers, in the context of offering a causal explanation. A unique collection, it offers the reader various disciplinary and inter-disciplinary divides, helping to stake out a new, neo-Aristotelian position within contemporary debate.


Book Synopsis Revitalizing Causality by : Ruth Groff

Download or read book Revitalizing Causality written by Ruth Groff and published by Routledge. This book was released on 2007-12-18 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting edge collection of new and previously published articles by philosophers and social scientists addresses just what it means to invoke causal mechanisms, or powers, in the context of offering a causal explanation. A unique collection, it offers the reader various disciplinary and inter-disciplinary divides, helping to stake out a new, neo-Aristotelian position within contemporary debate.


Causality

Causality

Author: Judea Pearl

Publisher: Cambridge University Press

Published: 2009-09-14

Total Pages: 487

ISBN-13: 052189560X

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Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...


Book Synopsis Causality by : Judea Pearl

Download or read book Causality written by Judea Pearl and published by Cambridge University Press. This book was released on 2009-09-14 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...


Causal Inference in Statistics, Social, and Biomedical Sciences

Causal Inference in Statistics, Social, and Biomedical Sciences

Author: Guido W. Imbens

Publisher: Cambridge University Press

Published: 2015-04-06

Total Pages: 647

ISBN-13: 0521885884

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This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.


Book Synopsis Causal Inference in Statistics, Social, and Biomedical Sciences by : Guido W. Imbens

Download or read book Causal Inference in Statistics, Social, and Biomedical Sciences written by Guido W. Imbens and published by Cambridge University Press. This book was released on 2015-04-06 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.


Social Causality

Social Causality

Author: Jerald Hage

Publisher: Allen & Unwin Australia

Published: 1988

Total Pages: 252

ISBN-13:

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Book Synopsis Social Causality by : Jerald Hage

Download or read book Social Causality written by Jerald Hage and published by Allen & Unwin Australia. This book was released on 1988 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Causal Inference

Causal Inference

Author: Scott Cunningham

Publisher: Yale University Press

Published: 2021-01-26

Total Pages: 585

ISBN-13: 0300255888

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An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.


Book Synopsis Causal Inference by : Scott Cunningham

Download or read book Causal Inference written by Scott Cunningham and published by Yale University Press. This book was released on 2021-01-26 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.


Questioning Causality

Questioning Causality

Author: Rom Harré

Publisher: Bloomsbury Publishing USA

Published: 2016-01-25

Total Pages: 603

ISBN-13:

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Covering a topic applicable to fields ranging from education to health care to psychology, this book provides a broad critical analysis of the assumptions that researchers and practitioners have about causation and explains how readers can improve their thinking about causation. In virtually every laboratory, research center, or classroom focused on the social or physical sciences today, the concept of causation is a core issue to be questioned, tested, and determined. Even debates in unrelated areas such as biology, law, and philosophy often focus on causality—"What made that happen?" In this book, experts from across disciplines adopt a reader-friendly approach to reconsider this age-old question in a modern light, defining different kinds of causation and examining how causes and consequences are framed and approached in a particular field. Each chapter uses applied examples to illustrate key points in an accessible manner. The contributors to this work supply a coherent critical analysis of the assumptions researchers and practitioners hold about causation, and explain how such thinking about causation can be improved. Collectively, the coverage is broad, providing readers with a fuller picture of research in social contexts. Beyond providing insightful description and thought-provoking questioning of causation in different research areas, the book applies analysis of data in order to point the way to smarter, more efficient practices. Consequently, both practitioners and researchers will benefit from this book.


Book Synopsis Questioning Causality by : Rom Harré

Download or read book Questioning Causality written by Rom Harré and published by Bloomsbury Publishing USA. This book was released on 2016-01-25 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering a topic applicable to fields ranging from education to health care to psychology, this book provides a broad critical analysis of the assumptions that researchers and practitioners have about causation and explains how readers can improve their thinking about causation. In virtually every laboratory, research center, or classroom focused on the social or physical sciences today, the concept of causation is a core issue to be questioned, tested, and determined. Even debates in unrelated areas such as biology, law, and philosophy often focus on causality—"What made that happen?" In this book, experts from across disciplines adopt a reader-friendly approach to reconsider this age-old question in a modern light, defining different kinds of causation and examining how causes and consequences are framed and approached in a particular field. Each chapter uses applied examples to illustrate key points in an accessible manner. The contributors to this work supply a coherent critical analysis of the assumptions researchers and practitioners hold about causation, and explain how such thinking about causation can be improved. Collectively, the coverage is broad, providing readers with a fuller picture of research in social contexts. Beyond providing insightful description and thought-provoking questioning of causation in different research areas, the book applies analysis of data in order to point the way to smarter, more efficient practices. Consequently, both practitioners and researchers will benefit from this book.


Mechanisms and the Contingency of Social Causality

Mechanisms and the Contingency of Social Causality

Author: Alexei Anisin

Publisher: Cambridge Scholars Publishing

Published: 2022-08-04

Total Pages: 170

ISBN-13: 1527586375

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Mechanisms are frequently brought up across the natural and social sciences as supplements to laws and empirical regularities. Recent decades have seen an explosion in mechanistic explanations in which philosophers of science, natural scientists, and social scientists have advocated, debated, and criticized the usage of mechanisms in their respective disciplines. As the intensity of these debates has increased, our understanding of the historical origin of mechanisms remains incomplete. Of the explanations that have been put forward, it has been argued that the roots of mechanisms are to be found in mechanical philosophy. This book demonstrates that an important set of factors have been overlooked in our understanding of the ontology of mechanisms. In shifting attention to a never-before-explored terrain in the etymological and semantic evolution of what arguably is the most commonly used scientific term, “the mechanism,” this text discovers that the origin of mechanisms is to be witnessed in ideas about social causality that arose within Ancient Greek tragedy and theater. It takes readers on a journey through socio-cultural settings and changes in Ancient Greece, early Christianity, the Roman Empire, and the Middle Ages, as well as the rise of science and modernity, and finishes in our current era of digital technology. As such, the book reveals how understandings of mechanisms have changed and evolved across time.


Book Synopsis Mechanisms and the Contingency of Social Causality by : Alexei Anisin

Download or read book Mechanisms and the Contingency of Social Causality written by Alexei Anisin and published by Cambridge Scholars Publishing. This book was released on 2022-08-04 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechanisms are frequently brought up across the natural and social sciences as supplements to laws and empirical regularities. Recent decades have seen an explosion in mechanistic explanations in which philosophers of science, natural scientists, and social scientists have advocated, debated, and criticized the usage of mechanisms in their respective disciplines. As the intensity of these debates has increased, our understanding of the historical origin of mechanisms remains incomplete. Of the explanations that have been put forward, it has been argued that the roots of mechanisms are to be found in mechanical philosophy. This book demonstrates that an important set of factors have been overlooked in our understanding of the ontology of mechanisms. In shifting attention to a never-before-explored terrain in the etymological and semantic evolution of what arguably is the most commonly used scientific term, “the mechanism,” this text discovers that the origin of mechanisms is to be witnessed in ideas about social causality that arose within Ancient Greek tragedy and theater. It takes readers on a journey through socio-cultural settings and changes in Ancient Greece, early Christianity, the Roman Empire, and the Middle Ages, as well as the rise of science and modernity, and finishes in our current era of digital technology. As such, the book reveals how understandings of mechanisms have changed and evolved across time.