Causality in Sociological Research

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Author: Jakub Karpinski

Publisher: Springer Science & Business Media

ISBN: 9400904959

Category: Social Science

Page: 192

View: 7006

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 Modeling

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Author: Herbert B. Asher

Publisher: SAGE Publications

ISBN: 1506320732

Category: Social Science

Page: 96

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A substantially revised and updated edition of an earlier volume in the series. Asher presents a number of techniques of causal modelling, beginning with the work of Simon and Blalock, and moving on to recursive and non-recursive path estimation. Special attention is given to a number of problems in the causal analysis of data, with illustrations from studies in political socialization and voting behaviour.

Causal Analysis with Panel Data

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Author: Steven E. Finkel

Publisher: SAGE

ISBN: 9780803938960

Category: Medical

Page: 98

View: 4726

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: 7537

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.

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: 5054

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: 8233

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.

Multivariate General Linear Models

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Author: Richard F. Haase

Publisher: SAGE Publications

ISBN: 1483342115

Category: Mathematics

Page: 224

View: 3524

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: 6383

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.

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: 2046

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.

Evaluation of Econometric Models

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Author: Jan Kmenta,James B. Ramsey

Publisher: Academic Press

ISBN: 1483267342

Category: Business & Economics

Page: 424

View: 8131

Evaluation of Econometric Models presents approaches to assessing and enhancing the progress of applied economic research. This book discusses the problems and issues in evaluating econometric models, use of exploratory methods in economic analysis, and model construction and evaluation when theoretical knowledge is scarce. The data analysis by partial least squares, prediction analysis of economic models, and aggregation and disaggregation of nonlinear equations are also elaborated. This text likewise covers the comparison of econometric models by optimal control techniques, role of time series analysis in econometric model evaluation, and hypothesis testing in spectral regression. Other topics include the relevance of laboratory experiments to testing resource allocation theory and token economy and animal models for the experimental analysis of economic behavior. This publication is intended for students and researchers interested in evaluating econometric models.

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: 345

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.

The Reviewer’s Guide to Quantitative Methods in the Social Sciences

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Author: Gregory R. Hancock,Ralph O. Mueller

Publisher: Routledge

ISBN: 1135172994

Category: Education

Page: 448

View: 2310

The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.

Causality and Causal Modelling in the Social Sciences

Measuring Variations

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Author: Federica Russo

Publisher: Springer Science & Business Media

ISBN: 1402088175

Category: Social Science

Page: 236

View: 7461

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.

Evaluation Theory, Models, and Applications

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Author: Daniel L. Stufflebeam,Chris L. S. Coryn

Publisher: John Wiley & Sons

ISBN: 1118870220

Category: Education

Page: 800

View: 3616

The golden standard evaluation reference text Now in its second edition, Evaluation Theory, Models, andApplications is the vital text on evaluation models, perfectfor classroom use as a textbook, and as a professional evaluationreference. The book begins with an overview of the evaluation fieldand program evaluation standards, and proceeds to cover the mostwidely used evaluation approaches. With new evaluation designs andthe inclusion of the latest literature from the field, thisSecond Edition is an essential update for professionals andstudents who want to stay current. Understanding and choosingevaluation approaches is critical to many professions, andEvaluation Theory, Models, and Applications, Second Editionis the benchmark evaluation guide. Authors Daniel L. Stufflebeam and Chris L. S. Coryn, widelyconsidered experts in the evaluation field, introduce and describe23 program evaluation approaches, including, new to this edition,transformative evaluation, participatory evaluation, consumerfeedback, and meta-analysis. Evaluation Theory, Models, andApplications, Second Edition facilitates the process ofplanning, conducting, and assessing program evaluations. Thehighlighted evaluation approaches include: Experimental and quasi-experimental design evaluations Daniel L. Stufflebeam's CIPP Model Michael Scriven's Consumer-Oriented Evaluation Michael Patton's Utilization-Focused Evaluation Robert Stake's Responsive/Stakeholder-Centered Evaluation Case Study Evaluation Key readings listed at the end of each chapter direct readers tothe most important references for each topic. Learning objectives,review questions, student exercises, and instructor supportmaterials complete the collection of tools. Choosing fromevaluation approaches can be an overwhelming process, butEvaluation Theory, Models, and Applications, Second Editionupdates the core evaluation concepts with the latest research,making this complex field accessible in just one book.

Internet Data Collection

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Author: Samuel J. Best,Brian S. Krueger

Publisher: SAGE

ISBN: 9780761927105

Category: Computers

Page: 91

View: 2663

Designed for researchers and students alike, the volume describes how to perform each stage of the data collection process on the Internet, including sampling, instrument design, and administration. Through the use of non-technical prose and illustrations, it details the options available, describes potential dangers in choosing them, and provides guidelines for sidestepping them. In doing so, though, it does not simply reiterate the practices of traditional communication modes, but approaches the Internet as a unique medium that necessitates its own conventions.

Fractal Analysis

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Author: Clifford Brown,Larry Liebovitch

Publisher: SAGE

ISBN: 1412971659

Category: Mathematics

Page: 90

View: 8572

As one of the only texts introducing fractal analysis and the social processes involved to social science readers, this is a must-have book for those looking to gain an understanding of this area of analysis.

Assessing Inequality

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Author: Lingxin Hao,Daniel Q. Naiman

Publisher: SAGE Publications

ISBN: 1483342638

Category: Social Science

Page: 160

View: 4868

Providing basic foundations for measuring inequality from the perspective of distributional properties This monograpg reviews a set of widely used summary inequality measures, and the lesser known relative distribution method provides the basic rationale behind each measure and discusses their interconnections. It also introduces model-based decomposition of inequality over time using quantile regression. This approach enables researchers to estimate two different contributions to changes in inequality between two time points. Key Features Clear statistical explanations provide fundamental statistical basis for understanding the new modeling framework Straightforward empirical examples reinforce statistical knowledge and ready-to-use procedures Multiple approaches to assessing inequality are introduced by starting with the basic distributional property and providing connections among approaches This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as individual researchers. Learn more about "The Little Green Book" - QASS Series! Click Here