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Author : Ian Birnbaum
Publisher : MacMillan Publishing Company
Page : 192 pages
File Size : 44,7 Mb
Release : 1981
Category : Social Science
ISBN : STANFORD:36105039007179
Author : Stephen L. Morgan
Publisher : Springer Science & Business Media
Page : 423 pages
File Size : 45,5 Mb
Release : 2013-04-22
Category : Social Science
ISBN : 9789400760943
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 : Ian Birnbaum
Publisher : Springer
Page : 174 pages
File Size : 53,7 Mb
Release : 1981-02-19
Category : Social Science
ISBN : 9781349164660
Author : Jr. Blalock
Publisher : Routledge
Page : 227 pages
File Size : 51,9 Mb
Release : 2017-07-28
Category : Social Science
ISBN : 9781351529785
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 : Raymond Boudon
Publisher : Ardent Media
Page : 12 pages
File Size : 48,7 Mb
Release : 1967
Category : Sociology
ISBN : 8210379456XXX
Author : Hubert M. Blalock
Publisher : Transaction Publishers
Page : 300 pages
File Size : 52,5 Mb
Release : 2017
Category : Social Science
ISBN : 9780202364612
This is a companion volume to the Causal Models in the Social Sciences, the majority of articles concern panel designs involving repeated measurements while a smaller cluster involves discussions of how experimental designs may be improved by more explicit attention to causal models. All of the papers are concerned with complications that may occur in actual research designs--as compared with idealized ones that often become the basis of textbook discussions of design issues. In thinking about the revision of that volume, considerable literature has accumulated. As a result, this volume attempts to bridge the gap in time and substance to that earlier effort. Blalock examined articles that seemed to hold the most promise of expanding the variety of topics in research methods to the causal modeling approach, and addressing the design issues involved. The majority of these fell under the heading of panel designs involving repeated measurements; a smaller cluster involved discussions of how our understanding of experimental designs could be improved by paying explicit attention to causal models. Blalock presented five chapters bearing on experimental designs into Part I, since the issues with which they deal are more general than those that treat more specifically with the handling of change data. Although many readers may have more immediate interest in these latter papers, which appear in Part II, Blalock thought it wise to encourage such readers to examine broader issues before plunging specifically into discussions of panel designs. H.M. Blalock, Jr. (1926-1991) was professor of sociology at the University of Washington, Seattle. He was recipient of the 1973 ASA Samuel Stouffer Prize, and was a Fellow of the American Statistical Association and the American Academy of Arts and Sciences, and is a member of the National Academy of Sciences. He was the 70th president of the American Sociological Association.
Author : Henning Best,Christof Wolf
Publisher : SAGE
Page : 424 pages
File Size : 49,7 Mb
Release : 2014-09-27
Category : Reference
ISBN : 9781473908352
'The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.' - John Fox, Professor, Department of Sociology, McMaster University 'The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.' - Ben Jann, Executive Director, Institute of Sociology, University of Bern 'Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.' -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.
Author : Ottar Hellevik
Publisher : Unknown
Page : 234 pages
File Size : 49,8 Mb
Release : 1984
Category : Social sciences
ISBN : OCLC:463919829
Author : Miquel A. Hernan,James M. Robins
Publisher : CRC Press
Page : 352 pages
File Size : 52,7 Mb
Release : 2019-07-07
Category : Medical
ISBN : 1420076167
The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.
Author : Jakub Karpinski
Publisher : Springer Science & Business Media
Page : 191 pages
File Size : 50,7 Mb
Release : 2012-12-06
Category : Social Science
ISBN : 9789400904958
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.
Author : Steven E. Finkel
Publisher : SAGE Publications, Incorporated
Page : 118 pages
File Size : 42,6 Mb
Release : 1995-01-17
Category : Medical
ISBN : STANFORD:36105016290558
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.
Author : Arun Sahay
Publisher : Taylor & Francis
Page : 187 pages
File Size : 43,8 Mb
Release : 2023-08-18
Category : Social Science
ISBN : 9781000996784
Originally published in 1972, this book is an important introduction to the analytical aspects of sociology. It analyses the various strands in 20th Century sociological thought, illustrating the richness as much as the poverty of any particular approach. It explores and compares the work of Weber and Pareto on sociological analysis, stressing the vital significance of their contributions to sociological knowledge. It looks at the stimulating implications of Karl Mannheim’s thought on the sociology of knowledge and finds in Mannheim the beginnings of most of the contemporary trends in sociology. It covers the fundamental assumptions of Parsonian thought and analyses the derivative character of the ideas of Robert Merton and Reinhard Bendix, along with Dahrendorf’s notions on a re-orientation of sociology.
Author : Stephen L. Morgan,Christopher Winship
Publisher : Cambridge University Press
Page : 525 pages
File Size : 44,9 Mb
Release : 2015
Category : Mathematics
ISBN : 9781107065079
This new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.
Author : Wsevolod W. Isajiw
Publisher : Routledge
Page : 167 pages
File Size : 40,8 Mb
Release : 2013-10-15
Category : Social Science
ISBN : 9781134552672
This is Volume I of twenty-two in the Social Theory and Methodology series. First published in 1968 this text looks at an analysis of functionalism by means of the notion of causality. It is a study of functionalism, yet also an explication of the notion of causality through its application to a sociological theory.
Author : Martino Maggetti,Claudio Radaelli,Fabrizio Gilardi
Publisher : SAGE
Page : 202 pages
File Size : 44,9 Mb
Release : 2012-12-18
Category : Social Science
ISBN : 9781446291092
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.