Causal Models In The Social Sciences
Download Causal Models In The Social Sciences full books in PDF, epub, and Kindle. Read online free Causal Models In The Social Sciences ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads.
Author |
: Federica Russo |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 236 |
Release |
: 2008-09-18 |
ISBN-10 |
: 9781402088179 |
ISBN-13 |
: 1402088175 |
Rating |
: 4/5 (79 Downloads) |
Synopsis Causality and Causal Modelling in the Social Sciences by : Federica Russo
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.
Author |
: H.M. Blalock Jr. |
Publisher |
: Routledge |
Total Pages |
: 461 |
Release |
: 2017-07-28 |
ISBN-10 |
: 9781351529785 |
ISBN-13 |
: 1351529781 |
Rating |
: 4/5 (85 Downloads) |
Synopsis Causal Models in the Social Sciences by : H.M. Blalock Jr.
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.
Author |
: Stephen L. Morgan |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 423 |
Release |
: 2013-04-22 |
ISBN-10 |
: 9789400760943 |
ISBN-13 |
: 9400760949 |
Rating |
: 4/5 (43 Downloads) |
Synopsis Handbook of Causal Analysis for Social Research by : Stephen L. Morgan
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.
Author |
: Hubert M. Blalock (ed.) |
Publisher |
: |
Total Pages |
: 515 |
Release |
: 1971 |
ISBN-10 |
: OCLC:1026249520 |
ISBN-13 |
: |
Rating |
: 4/5 (20 Downloads) |
Synopsis Causal Models in the Social Sciences by : Hubert M. Blalock (ed.)
Author |
: Hubert Morse Blalock |
Publisher |
: |
Total Pages |
: 515 |
Release |
: 1981 |
ISBN-10 |
: OCLC:878010729 |
ISBN-13 |
: |
Rating |
: 4/5 (29 Downloads) |
Synopsis Causal Models in the Social Sciences by : Hubert Morse Blalock
Author |
: David A. Freedman |
Publisher |
: Cambridge University Press |
Total Pages |
: 416 |
Release |
: 2010 |
ISBN-10 |
: 9780521195003 |
ISBN-13 |
: 0521195004 |
Rating |
: 4/5 (03 Downloads) |
Synopsis Statistical Models and Causal Inference by : David A. Freedman
David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.
Author |
: Hubert M. Blalock |
Publisher |
: |
Total Pages |
: |
Release |
: 2017 |
ISBN-10 |
: 1315081660 |
ISBN-13 |
: 9781315081663 |
Rating |
: 4/5 (60 Downloads) |
Synopsis Causal Models in the Social Sciences by : Hubert M. Blalock
"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.
Author |
: H.M. Blalock Junior |
Publisher |
: |
Total Pages |
: 515 |
Release |
: 1971 |
ISBN-10 |
: OCLC:709408829 |
ISBN-13 |
: |
Rating |
: 4/5 (29 Downloads) |
Synopsis Causal Models in the Social Sciences by : H.M. Blalock Junior
Author |
: Martino Maggetti |
Publisher |
: SAGE |
Total Pages |
: 202 |
Release |
: 2012-12-18 |
ISBN-10 |
: 9781446291092 |
ISBN-13 |
: 144629109X |
Rating |
: 4/5 (92 Downloads) |
Synopsis Designing Research in the Social Sciences by : Martino Maggetti
This innovative research design text will help you make informed choices when carrying out your research project. Covering both qualitative and quantitative approaches, and with examples drawn from a wide range of social science disciplines, the authors explain what is at stake when choosing a research design, and discuss the trade-offs that researchers have to make when considering issues such as: - causality - categories and classification - heterogeneity - interdependence - time This book will appeal to students and researchers looking for an in-depth understanding of research design issues to help them design their projects in a thoughtful and responsible way.
Author |
: |
Publisher |
: |
Total Pages |
: |
Release |
: 1985 |
ISBN-10 |
: OCLC:1042267316 |
ISBN-13 |
: |
Rating |
: 4/5 (16 Downloads) |
Synopsis Causal Models in the Social Sciences by :