Causal Models In The Social Sciences
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Causal Models In The Social Sciences
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Author : Hubert M. Blalock
language : en
Publisher: Transaction Publishers
Release Date : 1985
Causal Models In The Social Sciences written by Hubert M. Blalock and has been published by Transaction Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Business & Economics categories.
Causal models are formal theories stating the relationships between precisely defined variables, and have become an indispensable tool of the social scientist. This book draws upon the best writing in a variety of fields to provide a comprehensive picture of contemporary work on this subject. This collection of articles stands alone as a course book on the causal modeling approach to theory construction and data analysis. There is a growing literature on causal models and structural systems of equations that crosscuts a number of different fields. However, much of this material remains widely scattered throughout the journal literature and varies considerably in terms of both level of difficulty and substantive application. This classic text by Blalock addresses and resolves this concern. The most systematic discussions of this general approach have appeared in the econometrics literature, where several general texts are available. However, many of these discussions are too technical for most sociologists, political scientists, scholars, and researchers who lack a strong background in mathematics. This book attempts to integrate a few of the less technical papers written by econometricians such as Koopmans, Wold, Strotz, and Fisher with discussions of causal approaches in the biological sciences and with relatively more exploratory treatments by sociologists and other social scientists.
Causality And Causal Modelling In The Social Sciences
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Author : Federica Russo
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-18
Causality And Causal Modelling In The Social Sciences written by Federica Russo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-18 with Social Science categories.
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)
Causal Models In The Social Sciences
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Author : Hubert Morse Blalock
language : en
Publisher:
Release Date : 1981
Causal Models In The Social Sciences written by Hubert Morse Blalock and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with categories.
Causal Models In The Social Sciences
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Author : Hubert M. Blalock
language : en
Publisher:
Release Date : 2017
Causal Models In The Social Sciences written by Hubert M. Blalock and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with SOCIAL SCIENCE categories.
"Causal models are formal theories stating the relationships between precisely defined variables, and have become an indispensable tool of the social scientist. This collection of articles is a course book on the causal modeling approach to theory construction and data analysis. H. M. Blalock, Jr. summarizes the then-current developments in causal model utilization in sociology, political science, economics, and other disciplines. This book provides a comprehensive multidisciplinary picture of the work on causal models. It seeks to address the problem of measurement in the social sciences and to link theory and research through the development of causal models.Organized into five sections (Simple Recursive Models, Path Analysis, Simultaneous Equations Techniques, The Causal Approach to Measurement Error, and Other Complications), this volume contains twenty-seven articles (eight of which were specially commissioned). Each section begins with an introduction explaining the concepts to be covered in the section and links them to the larger subject. It provides a general overview of the theory and application of causal modeling.Blalock argues for the development of theoretical models that can be operationalized and provide verifiable predictions. Many of the discussions of this subject that occur in other literature are too technical for most social scientists and other scholars who lack a strong background in mathematics. This book attempts to integrate a few of the less technical papers written by econometricians such as Koopmans, Wold, Strotz, and Fisher with discussions of causal approaches in the social and biological sciences. This classic text by Blalock is a valuable source of material for those interested in the issue of measurement in the social sciences and the construction of mathematical models."--Provided by publisher.
Handbook Of Causal Analysis For Social Research
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Author : Stephen L. Morgan
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-22
Handbook Of Causal Analysis For Social Research written by Stephen L. Morgan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-22 with Social Science categories.
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.
Causal Models In The Social Sciences
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Author : Jr. Blalock
language : en
Publisher: Routledge
Release Date : 2017-07-28
Causal Models In The Social Sciences written by Jr. Blalock and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-28 with Social Science categories.
Causal models are formal theories stating the relationships between precisely defined variables, and have become an indispensable tool of the social scientist. This collection of articles is a course book on the causal modeling approach to theory construction and data analysis. H. M. Blalock, Jr. summarizes the then-current developments in causal model utilization in sociology, political science, economics, and other disciplines. This book provides a comprehensive multidisciplinary picture of the work on causal models. It seeks to address the problem of measurement in the social sciences and to link theory and research through the development of causal models.Organized into five sections (Simple Recursive Models, Path Analysis, Simultaneous Equations Techniques, The Causal Approach to Measurement Error, and Other Complications), this volume contains twenty-seven articles (eight of which were specially commissioned). Each section begins with an introduction explaining the concepts to be covered in the section and links them to the larger subject. It provides a general overview of the theory and application of causal modeling.Blalock argues for the development of theoretical models that can be operationalized and provide verifiable predictions. Many of the discussions of this subject that occur in other literature are too technical for most social scientists and other scholars who lack a strong background in mathematics. This book attempts to integrate a few of the less technical papers written by econometricians such as Koopmans, Wold, Strotz, and Fisher with discussions of causal approaches in the social and biological sciences. This classic text by Blalock is a valuable source of material for those interested in the issue of measurement in the social sciences and the construction of mathematical models.
Statistical Models And Causal Inference
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Author : David A. Freedman
language : en
Publisher: Cambridge University Press
Release Date : 2010
Statistical Models And Causal Inference written by David A. Freedman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.
David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.
Causal Models In The Social Sciences
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Author : H.M. Blalock Jr.
language : en
Publisher: Routledge
Release Date : 2017-07-28
Causal Models In The Social Sciences written by H.M. Blalock Jr. and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-28 with Social Science categories.
Causal models are formal theories stating the relationships between precisely defined variables, and have become an indispensable tool of the social scientist. This collection of articles is a course book on the causal modeling approach to theory construction and data analysis. H. M. Blalock, Jr. summarizes the then-current developments in causal model utilization in sociology, political science, economics, and other disciplines. This book provides a comprehensive multidisciplinary picture of the work on causal models. It seeks to address the problem of measurement in the social sciences and to link theory and research through the development of causal models.Organized into five sections (Simple Recursive Models, Path Analysis, Simultaneous Equations Techniques, The Causal Approach to Measurement Error, and Other Complications), this volume contains twenty-seven articles (eight of which were specially commissioned). Each section begins with an introduction explaining the concepts to be covered in the section and links them to the larger subject. It provides a general overview of the theory and application of causal modeling.Blalock argues for the development of theoretical models that can be operationalized and provide verifiable predictions. Many of the discussions of this subject that occur in other literature are too technical for most social scientists and other scholars who lack a strong background in mathematics. This book attempts to integrate a few of the less technical papers written by econometricians such as Koopmans, Wold, Strotz, and Fisher with discussions of causal approaches in the social and biological sciences. This classic text by Blalock is a valuable source of material for those interested in the issue of measurement in the social sciences and the construction of mathematical models.
Causal Models In The Social Sciences
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Author : Hubert M. Blalock (ed.)
language : en
Publisher:
Release Date : 1971
Causal Models In The Social Sciences written by Hubert M. Blalock (ed.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with categories.
Causal Analysis With Panel Data
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Author : Steven E. Finkel
language : en
Publisher: SAGE
Release Date : 1995-01-17
Causal Analysis With Panel Data written by Steven E. Finkel and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-01-17 with Medical categories.
Panel data, which consist of information gathered from the same individuals or units at several different points in time, are commonly used in the social sciences to test theories of individual and social change. This book provides an overview of models that are appropriate for the analysis of panel data, focusing specifically on the area where panels offer major advantages over cross-sectional research designs: the analysis of causal interrelationships among variables. Without "painting" panel data as a cure all for the problems of causal inference in nonexperimental research, the author shows how panel data offer multiple ways of strengthening the causal inference process. In addition, he shows how to estimate models that contain a variety of lag specifications, reciprocal effects, and imperfectly measured variables. Appropriate for readers who are familiar with multiple regression analysis and causal modeling, this book will offer readers the highlights of developments in this technique from diverse disciplines to analytic traditions.