The SAGE Handbook of Regression Analysis and Causal Inference

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9781446252444: The SAGE Handbook of Regression Analysis and Causal Inference
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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.
(Professor John Fox)

This is a very useful book. It provides an up-to-date overview of the most prominent data analysis methods employed in modern social science research. 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. The book will be invaluable as a source for basic reading assignments for graduate students. It will also serve well as a primer for researchers who want to update and advance their methodological skills.
(Ben Jann)

Best and Wolf have put together a powerful collection. It covers all major topics and varieties of regression analysis used by social scientists and is especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis. Best and Wolf have recruited top specialists from both Europe and North America and they comprehensively cover regression analysis for both cross-sectional and panel data.
(Tom Smith)

Reseña del editor:

'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.  

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Publicado por Sage Publications Ltd, United Kingdom (2014)
ISBN 10: 1446252442 ISBN 13: 9781446252444
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Descripción Sage Publications Ltd, United Kingdom, 2014. Hardback. Condición: New. Language: English . Brand New Book. 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. Nº de ref. del artículo: AAX9781446252444

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Publicado por Sage Publications Ltd, United Kingdom (2014)
ISBN 10: 1446252442 ISBN 13: 9781446252444
Nuevo Tapa dura Cantidad disponible: 10
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Descripción Sage Publications Ltd, United Kingdom, 2014. Hardback. Condición: New. Language: English . Brand New Book. 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. Nº de ref. del artículo: AAX9781446252444

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Henning Best (editor), Christof Wolf (editor)
Publicado por SAGE Publications 2014-10-23, Los Angeles (2014)
ISBN 10: 1446252442 ISBN 13: 9781446252444
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Descripción SAGE Publications 2014-10-23, Los Angeles, 2014. hardback. Condición: New. Nº de ref. del artículo: 9781446252444

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Henning Best
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Descripción 2014. Hardcover. Condición: New. Hardcover. '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 import.Shipping may be from multiple locations in the US or from the UK, depending on stock availability. 424 pages. 0.916. Nº de ref. del artículo: 9781446252444

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Best, Henning (Editor)/ Wolf, Christof (Editor)
Publicado por Sage Pubns Ltd (2014)
ISBN 10: 1446252442 ISBN 13: 9781446252444
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Descripción Sage Pubns Ltd, 2014. Hardcover. Condición: Brand New. 414 pages. 10.00x7.25x1.00 inches. In Stock. Nº de ref. del artículo: __1446252442

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Henning Best
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Descripción 2014. Hardcover. Condición: New. Hardcover. '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 c.Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. 424 pages. 0.916. Nº de ref. del artículo: 9781446252444

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Publicado por SAGE Publications Ltd (2014)
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Descripción SAGE Publications Ltd, 2014. Hardcover. Condición: New. Never used!. Nº de ref. del artículo: P111446252442

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Descripción SAGE Publications Ltd, 2014. Condición: New. book. Nº de ref. del artículo: M1446252442

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Henning Best
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Descripción Sage Publications, 2014. Hardcover. Condición: New. Nº de ref. del artículo: Sage-9781446252444

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