{"product_id":"sage-handbook-regression-analysis-causal-inference-9781446252444-new","title":"The Sage Handbook of Regression Analysis and Causal Inference","description":"\u003cp\u003e′The editors of the new \u003cem\u003eSAGE Handbook of Regression Analysis and Causal Inference \u003c\/em\u003ehave 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.′\u003c\/p\u003e\u003cp\u003e- John Fox, Professor, Department of Sociology, McMaster University\u003c\/p\u003e\u003cp\u003e′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.′\u003c\/p\u003e\u003cp\u003e- Ben Jann, Executive Director, Institute of Sociology, University of Bern\u003c\/p\u003e\u003cp\u003e′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.′\u003c\/p\u003e\u003cp\u003e-Tom Smith, Senior Fellow, NORC, University of Chicago\u003c\/p\u003e\u003cp\u003eEdited 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.\u003c\/p\u003e\u003cp\u003eEach 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. \u003c\/p\u003e","brand":"SAGE PUBN","offers":[{"title":"New","offer_id":51596906234146,"sku":"9781446252444-new","price":263.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0893\/4755\/5618\/files\/9781446252444.jpg?v=1777673889","url":"https:\/\/www.albakireads.com\/products\/sage-handbook-regression-analysis-causal-inference-9781446252444-new","provider":"AlbakiReads","version":"1.0","type":"link"}