{"product_id":"regression-with-social-data-modeling-continuous-and-limited-response-variables-hardback-9780471223375","title":"Regression With Social Data; Modeling Continuous and Limited Response Variables (Hardback) 9780471223375","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eRegression With Social Data\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eModeling Continuous and Limited Response Variables\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eAlfred DeMaris (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780471223375, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 1 October 2004\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e560 pages, Drawings: 6 B\u0026amp;W, 0 Color; Graphs: 74 B\u0026amp;W, 0 Color\u003cbr\u003e23.6 x 16.3 x 3.8 cm, 0.907 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"This book is intended to serve as a text for intermediate-level social science graduate courses on regression and as a reference book for practicing researchers. I recommend it for both purposes.\" (\u003ci\u003eSociological Methods \u0026amp; Research\u003c\/i\u003e, 2009)  \u003cp\u003e\"I would have left 'social data' out of the title of this excellent book.... The book has value for any statistician for its inclusion of all possible types of response measurement in a single regression textbook.\" (\u003ci\u003eTechnometrics\u003c\/i\u003e, August 2005)\u003c\/p\u003e \u003cp\u003e\"Regression with Social Data includes features desirable of a textbook for classroom use (e.g., datasets, 275 end-of-chapter exercises with partial solutions) but also has the depth and sophistication of a reference book. As a reference book, it is useful to anyone in statistical consulting or social science research.\" (\u003ci\u003eThe American Statistician\u003c\/i\u003e, May 2006)\u003c\/p\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eAn accessible introduction to the use of regression analysis in the social sciences\u003c\/b\u003e  \u003cp\u003e\u003ci\u003eRegression with Social Data: Modeling Continuous and Limited Response Variables\u003c\/i\u003e represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Covering techniques that span the full spectrum of levels of measurement for both continuous and limited response variables, and using examples taken from such disciplines as sociology, psychology, political science, and public health, the author succeeds in demystifying an academically rigorous subject and making it accessible to a wider audience.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eContent includes coverage of:\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eLogit, probit, scobit, truncated, and censored regressions\u003c\/li\u003e \u003cli\u003eMultiple regression with ANOVA and ANCOVA models\u003c\/li\u003e \u003cli\u003eBinary and multinomial response models\u003c\/li\u003e \u003cli\u003ePoisson, negative binomial, and other regression models for event-count data\u003c\/li\u003e \u003cli\u003eSurvival analysis using multistate, multiepisode, and interval-censored survival models\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eConcepts are reinforced throughout with numerous chapter problems, exercises, and real data sets. Step-by-step solutions plus an appendix of mathematical tutorials make even complex problems accessible to readers with only moderate math skills. The book’s logical flow, wide applicability, and uniquely comprehensive coverage make it both an ideal text for a variety of graduate course settings and a useful reference for practicing researchers in the field.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface.  \u003cp\u003e1. Introduction to Regression Modeling.\u003c\/p\u003e \u003cp\u003e2. Simple Linear Regression.\u003c\/p\u003e \u003cp\u003e3. Introduction to Multiple Regression.\u003c\/p\u003e \u003cp\u003e4. Multiple Regression with Categorical Predictors: ANOVA and ANCOVA Models.\u003c\/p\u003e \u003cp\u003e5. Modeling Nonlinearity.\u003c\/p\u003e \u003cp\u003e6. Advanced Issues in Multiple Regression.\u003c\/p\u003e \u003cp\u003e7. Regression with a Binary Response.\u003c\/p\u003e \u003cp\u003e8. Advanced Topics in Logistic Regression.\u003c\/p\u003e \u003cp\u003e9. Truncated and Censored Regression Models.\u003c\/p\u003e \u003cp\u003e10. Regression Models for an Event Count.\u003c\/p\u003e \u003cp\u003e11. Introduction to Survival Analysis.\u003c\/p\u003e \u003cp\u003e12. Multistate, Multiepisode, and Interval-Censored Models in Survival Analysis.\u003c\/p\u003e \u003cp\u003eAppendix A: Mathematics Tutorials.\u003c\/p\u003e \u003cp\u003eAppendix B: Answers to Selected Exercises.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Interscience","offers":[{"title":"Brand New","offer_id":52286320673048,"sku":"9780471223375","price":115.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780471223375.jpg?v=1781549872","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/regression-with-social-data-modeling-continuous-and-limited-response-variables-hardback-9780471223375","provider":"Freshly Printed Books","version":"1.0","type":"link"}