Handbook of Causal Analysis for Social Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Causal Analysis for Social Research write by Stephen L. Morgan. This book was released on 2013-04-22. Handbook of Causal Analysis for Social Research available in PDF, EPUB and Kindle. 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
The SAGE Handbook of Regression Analysis and Causal Inference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The SAGE Handbook of Regression Analysis and Causal Inference write by Henning Best. This book was released on 2013-12-20. The SAGE Handbook of Regression Analysis and Causal Inference available in PDF, EPUB and Kindle. ′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.
The SAGE Handbook of Regression Analysis and Causal Inference
The SAGE Handbook of Regression Analysis and Causal Inference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The SAGE Handbook of Regression Analysis and Causal Inference write by Henning Best. This book was released on 2013-12-20. The SAGE Handbook of Regression Analysis and Causal Inference available in PDF, EPUB and Kindle. ′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
Counterfactuals and Causal Inference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Counterfactuals and Causal Inference write by Stephen L. Morgan. This book was released on 2015. Counterfactuals and Causal Inference available in PDF, EPUB and Kindle. This new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.
The SAGE Handbook of Social Research Methods
The SAGE Handbook of Social Research Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The SAGE Handbook of Social Research Methods write by Pertti Alasuutari. This book was released on 2008-02-25. The SAGE Handbook of Social Research Methods available in PDF, EPUB and Kindle. 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.
