Causality in Sociological Research

Author: Jakub Karpinski

Publisher: Springer Science & Business Media

ISBN: 9400904959

Category: Social Science

Page: 192

View: 3300

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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. Sociology is no exception in that respect. In that discipline we note a certain paradox. Many problems connected with the causal conditioning of phenomena have been raised in sociology in relatively recent times, and that process marked its empirical or even so-called empiricist trend. That trend, labelled positivist, seems in this case to be in contradiction with a certain type of positivism. Those authors who describe positivism usually include the Humean tradition in its genealogy and, remembering Hume's criticism of the concept of cause, speak about positivism as about a trend which is inclined to treat lightly the study of causes and confines itself to the statements on co-occurrence of phenomena.
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Causal Modeling

Author: Herbert B. Asher,Herbert R. Asher

Publisher: SAGE

ISBN: 9780803906549

Category: Social Science

Page: 80

View: 4213

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Retains complete coverage of the first edition, while amplifying key areas such as direct/indirect effects, standardized/unstandardized variables, multicollinie-arity, and nonrecursive modeling.Learn more about "The Little Green Book" - QASS Series! Click Here
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Causal Analysis with Panel Data

Author: Steven E. Finkel

Publisher: SAGE

ISBN: 9780803938960

Category: Medical

Page: 98

View: 8451

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Panel data — 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 highlights the developments in this technique in a range of disciplines and analytic traditions.
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Nonrecursive Causal Models

Author: William D. Berry

Publisher: SAGE

ISBN: 9780803922655

Category: Social Science

Page: 95

View: 8270

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Where an assumption of unidirectionality in causal effects is unrealistic, 'recursive' models cannot be used, and more complex 'nonrecursive' models are necessary. Unfortunately, many nonrecursive models (unlike recursive models) are 'unidentified', which makes meaningful parameter estimation impossible. Even when they are identified, it would be inappropriate to use OLS regression techniques (appropriate for recursive models) for the purpose of estimation. The concept of identification, and the factors that lead to it are explained; and various tests for determination are provided. Illustrations from a variety of social science disciplines are used throughout the book.
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Qualitative data analysis

an expanded sourcebook

Author: Matthew B. Miles,A. M. Huberman

Publisher: Sage Publications, Inc

ISBN: N.A

Category: Science

Page: 338

View: 673

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The latest edition of this best-selling textbook by Miles and Huberman not only is considerably expanded in content, but is now available in paperback. Bringing the art of qualitative analysis up-to-date, this edition adds hundreds of new techniques, ideas and references developed in the past decade. The increase in the use of computers in qualitative analysis is also reflected in this volume. There is an extensive appendix on criteria to choose from among the currently available analysis packages. Through examples from a host of social science and professional disciplines, Qualitative Data Analysis remains the most comprehensive and complete treatment of this topic currently available to scholars and applied researchers.
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Causality and Causal Modelling in the Social Sciences

Measuring Variations

Author: Federica Russo

Publisher: Springer Science & Business Media

ISBN: 1402088175

Category: Social Science

Page: 236

View: 1319

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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.
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The Association Graph and the Multigraph for Loglinear Models

Author: Harry J. Khamis

Publisher: SAGE

ISBN: 1452238952

Category: Mathematics

Page: 136

View: 1051

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The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.
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Symbolic and Quantitative Approaches to Reasoning with Uncertainty

7th European Conference, ECSQARU 2003, Aalborg, Denmark, July 2-5, 2003. Proceedings

Author: Thomas D. Nielsen

Publisher: Springer Science & Business Media

ISBN: 3540404945

Category: Computers

Page: 608

View: 6726

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Since 1991, the European Conference on Symbolic and Quantitative Appr- ches to Reasoning with Uncertainty (ECSQARU) has been a major forum for advances in the theory and practice of reasoning and decision making under - certainty. The scope of ECSQARU is wide and includes, but is not limited to, fundamental issues, representation, inference, learning, and decision making in qualitative and numeric paradigms. The ?rst ECSQARU conference (1991) was held in Marseilles, and since then it has been held in Granada (1993), Fribourg (1995), Bonn (1997), London (1999) and Toulouse (2001). This volume contains the papers that were presented at ECSQARU 2003, held at Aalborg University, Denmark, from July 2 to July 5, 2003. The papers went through a rigorous reviewing process: three program committee members reviewed each paper monitored by an area chair, who made a ?nal recomm- dation to the program co-chairs. In addition to the regular presentations, the technical program for ECSQARU 2003 also included talks by three distingu- hedinvitedspeakers:DidierDubois,PhilippeSmetsandJeroenVermunt.Didier Dubois and Jeroen Vermunt also contributed to this volume with papers on the subjects of their talks.
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