Causality in Sociological Research

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Author: Jakub Karpinski

Publisher: Springer Science & Business Media

ISBN: 9400904959

Category: Social Science

Page: 192

View: 8336

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.

Causal Analysis with Panel Data

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Author: Steven E. Finkel

Publisher: SAGE

ISBN: 9780803938960

Category: Medical

Page: 98

View: 1743

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.

Nonrecursive Causal Models

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Author: William D. Berry

Publisher: SAGE

ISBN: 9780803922655

Category: Social Science

Page: 95

View: 8505

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.

The Logic of Causal Order

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Author: James A. Davis,Robert Philip Weber

Publisher: SAGE

ISBN: 9780803925533

Category: Medical

Page: 72

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This monograph is not statistical. It looks instead at pre-statistical assumptions about dependent variables and causal order. Professor Davis spells out the logical principles that underlie our ideas of causality and explains how to discover causal direction, irrespective of the statistical technique used. He stresses throughout that knowledge of the "real world" is important and repeatedly challenges the myth that causal problems can be solved by statistical calculations alone.

Causal Modeling

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Author: Herbert B. Asher,Herbert R. Asher

Publisher: SAGE

ISBN: 9780803906549

Category: Mathematics

Page: 80

View: 5798

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

A Quantitative Tour of the Social Sciences

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Author: Andrew Gelman

Publisher: Cambridge University Press

ISBN: 0521861985

Category: Mathematics

Page: 350

View: 6512

In this book, prominent social scientists describe quantitative models in economics, history, sociology, political science, and psychology.

Theory and Research in Mass Communication

Contexts and Consequences

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Author: David K. Perry

Publisher: Routledge

ISBN: 1135644993

Category: Language Arts & Disciplines

Page: 336

View: 2578

This updated edition presents a civic journalism treatment of the field of mass communication research. The sine qua non of the civic journalism movement seems to center around an implicit assumption that the human mind is an evolved part in the natural world, not a detached spectator as much traditional philosophy assumes. Thus, it has attempted to encourage journalists and members of their audiences to participate actively in civic life. Applying the same idea to mass communication academics, this book focuses on the empirical consequences of their work, especially its possible impact on human life. It argues that researchers need to connect with the broader communities in which they live and considers the impact of media research on society. Features of the second edition include: *detailed update of research evidence concerning the media violence issue; *additional material concerning media ownership structures and their possible relationship to media content and effects; *new material focusing on the impact of tobacco and alcohol advertising; *updated and expanded section concerning the history of media studies; and *an expanded discussion of philosophical issues pertaining to theory construction. This book is intended for graduate and advanced undergraduate students studying mass communication theory and related subjects, such as communication theory, media effects, media literacy, and media and society.

Qualitative data analysis

an expanded sourcebook

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

Publisher: Sage Publications, Inc

ISBN: N.A

Category: Science

Page: 338

View: 4289

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.

The Association Graph and the Multigraph for Loglinear Models

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Author: Harry J. Khamis

Publisher: SAGE

ISBN: 1452238952

Category: Mathematics

Page: 136

View: 359

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.

The SAGE Encyclopedia of Social Science Research Methods

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Author: Michael Lewis-Beck,Alan E Bryman,Tim Futing Liao

Publisher: SAGE

ISBN: 9780761923633

Category: Social Science

Page: 1305

View: 6400

"The first encyclopedia to cover inclusively both quantitative and qualitative research approaches, this set provides clear explanations of 1,000 methodologies, avoiding mathematical equations when possible with liberal cross-referencing and bibliographies. Each volume includes a list of works cited, and the third contains a comprehensive index and lists of person names, organizations, books, tests, software, major concepts, surveys, and methodologies."--"Reference that rocks," American Libraries, May 2005.

The SAGE Handbook of Quantitative Methodology for the Social Sciences

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Author: David Kaplan

Publisher: SAGE Publications

ISBN: 1483365875

Category: Social Science

Page: 528

View: 6379

The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource.

Enzyklopädie Erziehungswissenschaft

Handbuch u. Lexikon d. Erziehung in 11 bd. u.e. Reg. Methoden der Erziehungs-und Bildungsforschung

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Author: Hagen Kordes

Publisher: N.A

ISBN: 9783129322208

Category: Education

Page: 707

View: 3507

Multivariate General Linear Models

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Author: Richard F. Haase

Publisher: SAGE Publications

ISBN: 1483342115

Category: Mathematics

Page: 224

View: 2227

Multivariate General Linear Models is an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). Beginning with an overview of the univariate general linear model, this volume defines the key steps in analyzing linear model data, and introduces multivariate linear model analysis as a generalization of the univariate model. The author focuses on multivariate measures of association for four common multivariate test statistics, presents a flexible method for testing hypotheses on models, and emphasizes the multivariate procedures attributable to Wilks, Pillai, Hotelling, and Roy. The volume concludes with a discussion of canonical correlation analysis that is shown to subsume all the multivariate procedures discussed in previous chapters. The analyses are illustrated throughout the text with three running examples drawing from several disciples, including personnel psychology, anthropology, environmental epidemiology, and neuropsychology.

Nonrecursive Models

Endogeneity, Reciprocal Relationships, and Feedback Loops

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Author: Pamela Paxton,John R. Hipp,Sandra Marquart-Pyatt,Sandra T. Marquart-Pyatt

Publisher: SAGE Publications

ISBN: 1412974445

Category: Social Science

Page: 128

View: 9215

Nonrecursive Models provides explicit guidance to researchers on the estimation and assessment of nonrecursive simultaneous equation models in a clear, condensed and precise form. It guides readers through the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret results.

The Chances of Explanation

Causal Explanation in the Social, Medical, and Physical Sciences

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Author: Paul Humphreys

Publisher: Princeton University Press

ISBN: 1400860768

Category: Philosophy

Page: 182

View: 5498

This book provides a post-positivist theory of deterministic and probabilistic causality that supports both quantitative and qualitative explanations. Features of particular interest include the ability to provide true explanations in contexts where our knowledge is incomplete, a systematic interpretation of causal modeling techniques in the social sciences, and a direct realist view of causal relations that is compatible with a liberal empiricism. The book should be of wide interest to both philosophers and scientists. Originally published in 1989. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

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

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Author: Thomas D. Nielsen

Publisher: Springer Science & Business Media

ISBN: 3540404945

Category: Computers

Page: 608

View: 7003

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.

Complexity Theory and the Social Sciences

An Introduction

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Author: David Byrne

Publisher: Routledge

ISBN: 1134714734

Category: Social Science

Page: 224

View: 7429

Chaos and complexity are the new buzz words in both science and contemporary society. The ideas they represent have enormous implications for the way we understand and engage with the world. Complexity Theory and the Social Sciences introduces students to the central ideas which surround the chaos/complexity theories. It discusses key concepts before using them as a way of investigating the nature of social research. By applying them to such familiar topics as urban studies, education and health, David Byrne allows readers new to the subject to appreciate the contribution which complexity theory can make to social research and to illuminating the crucial social issues of our day.