Handbook Of Causal Analysis For Social Research

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Handbook of Causal Analysis for Social Research

Author : Stephen L. Morgan
Publisher : Springer Science & Business Media
Page : 423 pages
File Size : 41,6 Mb
Release : 2013-04-22
Category : Social Science
ISBN : 9789400760943

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Handbook of Causal Analysis for Social Research by Stephen L. Morgan Pdf

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.

The SAGE Handbook of Regression Analysis and Causal Inference

Author : Henning Best,Christof Wolf
Publisher : SAGE
Page : 424 pages
File Size : 52,6 Mb
Release : 2014-09-27
Category : Reference
ISBN : 9781473908352

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The SAGE Handbook of Regression Analysis and Causal Inference by Henning Best,Christof Wolf Pdf

'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.

Counterfactuals and Causal Inference

Author : Stephen L. Morgan,Christopher Winship
Publisher : Cambridge University Press
Page : 525 pages
File Size : 48,9 Mb
Release : 2015
Category : Mathematics
ISBN : 9781107065079

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Counterfactuals and Causal Inference by Stephen L. Morgan,Christopher Winship Pdf

This new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.

The SAGE Handbook of Innovation in Social Research Methods

Author : Malcolm Williams,W Paul Vogt
Publisher : SAGE
Page : 666 pages
File Size : 44,8 Mb
Release : 2011-03-11
Category : Social Science
ISBN : 9781446209639

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The SAGE Handbook of Innovation in Social Research Methods by Malcolm Williams,W Paul Vogt Pdf

Social research is a bourgeoning field. Of course it has many traditions and approaches, but there is a high premium upon thinking differently and thinking anew because social life is never static or wholly predictable. The Handbook, edited by internationally recognized scholars, provides a comprehensive, pitch-perfect critical assessment of the field. The main features of the Handbook are: Clear organization into 4 parts dealing with The Social Context of Research; Design and Data Collection; Integrating The Analysis of New Data Types; Sampling, Inference and Measurement Clear, cutting edge chapters on Objectivity; Causation; Organizing Social Research; Correspondence Analysis; Grounded Theory; Conversational Surveys; Mixed Methods; Meta-Analysis; Optimal Matching Analysis; GIS Analysis; Quantitative Narrative Analysis; Longitudinal Studies; SEM; MLM; Qualitative Comparative Analysis; Respondent Driven Sampling Brings together a glittering assembly of the key figures working in the field of research methods Demonstrates the continuities and productive tensions between classical traditions and real world research. The result is a superbly organized text which will be required reading for anyone interested in the routes and future of social research. It is an unparalleled teaching resource and a ′must have′ for serious social researchers.

Handbook of Data Analysis

Author : Melissa A Hardy,Alan Bryman
Publisher : SAGE
Page : 728 pages
File Size : 45,8 Mb
Release : 2009-06-17
Category : Social Science
ISBN : 9781446203446

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Handbook of Data Analysis by Melissa A Hardy,Alan Bryman Pdf

Electronic Inspection Copy available for instructors here 'This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond' - Environment and Planning 'The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher' - Clive Seale, Brunel University 'With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ' - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa 'This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments' - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.

The Sage Handbook of Regression Analysis and Causal Inference

Author : Henning Best
Publisher : Unknown
Page : 425 pages
File Size : 45,7 Mb
Release : 2024-05-17
Category : Causation
ISBN : 1446288145

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The Sage Handbook of Regression Analysis and Causal Inference by Henning Best Pdf

Edited and written by a team of leading international social scientists, this handbook provides a comprehensive introduction to multivariate methods. It 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.

Statistical Approaches to Causal Analysis

Author : Matthew McBee
Publisher : SAGE
Page : 178 pages
File Size : 54,6 Mb
Release : 2022-03-01
Category : Social Science
ISBN : 9781529711110

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Statistical Approaches to Causal Analysis by Matthew McBee Pdf

This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data. Applying the Rubin’s Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences. Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

The SAGE Handbook of Social Research Methods

Author : Pertti Alasuutari,Leonard Bickman,Julia Brannen
Publisher : SAGE
Page : 650 pages
File Size : 49,6 Mb
Release : 2008-02-25
Category : Social Science
ISBN : 9781473971264

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The SAGE Handbook of Social Research Methods by Pertti Alasuutari,Leonard Bickman,Julia Brannen Pdf

The SAGE Handbook of Social Research Methods is a must for every social-science researcher. It charts the new and evolving terrain of social research methodology, covering qualitative, quantitative and mixed methods in one volume. The Handbook includes chapters on each phase of the research process: research design, methods of data collection, and the processes of analyzing and interpreting data. The volume maintains that there is much more to research than learning skills and techniques; methodology involves the fit between theory, research questions research design and analysis. The book also includes several chapters that describe historical and current directions in social research, debating crucial subjects such as qualitative versus quantitative paradigms, how to judge the credibility of types of research, and the increasingly topical issue of research ethics. The Handbook serves as an invaluable resource for approaching research with an open mind. This volume maps the field of social research methods using an approach that will prove valuable for both students and researchers.

Data Analysis for Social Science

Author : Elena Llaudet,Kosuke Imai
Publisher : Princeton University Press
Page : 256 pages
File Size : 54,8 Mb
Release : 2022-11-29
Category : Computers
ISBN : 9780691199436

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Data Analysis for Social Science by Elena Llaudet,Kosuke Imai Pdf

"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--

Statistical Models and Causal Inference

Author : David A. Freedman
Publisher : Cambridge University Press
Page : 416 pages
File Size : 49,6 Mb
Release : 2010
Category : Mathematics
ISBN : 9780521195003

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Statistical Models and Causal Inference by David A. Freedman Pdf

David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.

The Oxford Handbook of Causal Reasoning

Author : Michael Waldmann
Publisher : Oxford University Press
Page : 769 pages
File Size : 40,5 Mb
Release : 2017
Category : Psychology
ISBN : 9780199399550

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The Oxford Handbook of Causal Reasoning by Michael Waldmann Pdf

Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. The handbook brings together the leading researchers in the field of causal reasoning and offers state-of-the-art presentations of theories and research. It provides introductions of competing theories of causal reasoning, and discusses its role in various cognitive functions and domains. The final section presents research from neighboring fields.

Explanation in Causal Inference

Author : Tyler J. VanderWeele,Tyler VanderWeele
Publisher : Oxford University Press, USA
Page : 729 pages
File Size : 54,5 Mb
Release : 2015
Category : Medical
ISBN : 9780199325870

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Explanation in Causal Inference by Tyler J. VanderWeele,Tyler VanderWeele Pdf

The book begins with a comprehensive introduction to mediation analysis, including chapters on concepts for mediation, regression-based methods, sensitivity analysis, time-to-event outcomes, methods for multiple mediators, methods for time-varying mediation and longitudinal data, and relations between mediation and other concepts involving intermediates such as surrogates, principal stratification, instrumental variables, and Mendelian randomization. The second part of the book concerns interaction or "moderation," including concepts for interaction, statistical interaction, confounding and interaction, mechanistic interaction, bias analysis for interaction, interaction in genetic studies, and power and sample-size calculation for interaction. The final part of the book provides comprehensive discussion about the relationships between mediation and interaction and unites these concepts within a single framework.

Causal Analysis with Panel Data

Author : Steven E. Finkel
Publisher : SAGE Publications, Incorporated
Page : 0 pages
File Size : 51,7 Mb
Release : 1995-01-17
Category : Social Science
ISBN : 0803938969

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Causal Analysis with Panel Data by Steven E. Finkel Pdf

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.

The SAGE Handbook of Quantitative Methodology for the Social Sciences

Author : David Kaplan
Publisher : SAGE
Page : 532 pages
File Size : 41,6 Mb
Release : 2004-06-21
Category : Reference
ISBN : 0761923594

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The SAGE Handbook of Quantitative Methodology for the Social Sciences by David Kaplan Pdf

Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook.

A Handbook for Social Science Field Research

Author : Ellen Perecman,Sara R. Curran
Publisher : SAGE Publications
Page : 280 pages
File Size : 49,6 Mb
Release : 2006-01-24
Category : Social Science
ISBN : 9781412973427

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A Handbook for Social Science Field Research by Ellen Perecman,Sara R. Curran Pdf

A Handbook for Social Science Field Research: Essays & Bibliographic Sources on Research Design and Methods provides both novice and experienced scholars with valuable insights to a select list of critical texts pertaining to a wide array of social science methods useful when doing fieldwork. Through essays on ethnography to case study, archival research, oral history, surveys, secondary data analysis, and ethics, this refreshing new collection offers "tales from the field" by renowned scholars across various disciplines.