{"product_id":"data-analysis-using-regression-and-multilevel-hierarchical-models-hardback-9780521867061","title":"Data Analysis Using Regression and Multilevel\/Hierarchical Models (Hardback) 9780521867061","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eData Analysis Using Regression and Multilevel\/Hierarchical Models\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eThis book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eAndrew Gelman (Author), Jennifer Hill (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780521867061, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 25 December 2006\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e648 pages, 160 exercises\u003cbr\u003e26.2 x 18.6 x 4 cm, 1.242 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'Data Analysis Using Regression and Multilevel\/Hierarchical Models is the book I wish I had in graduate school. … The text is an obvious candidate for use in courses or course modules on multilevel modeling, especially in Part 2. Beyond that, where should it be used? Instructors of first-year graduate methods courses should consider complementing their texts with material from Part 1. Many use Kennedy's A Guide to Econometrics (2003) to provide an alternative take in the essentials. Data Analysis is better suited for taking on this role. Students will find its coverage less redundant of what they get from standard texts, and the use of non-economics based examples should also help sell quantitative research to skeptical incomers into the profession.' The Political Methodologist\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eData Analysis Using Regression and Multilevel\/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Why?\u003cbr\u003e 2. Concepts and methods from basic probability and statistics\u003cbr\u003e Part I. A. Single-Level Regression: 3. Linear regression: the basics\u003cbr\u003e 4. Linear regression: before and after fitting the model\u003cbr\u003e 5. Logistic regression\u003cbr\u003e 6. Generalized linear models\u003cbr\u003e Part I. B. Working with Regression Inferences: 7. Simulation of probability models and statistical inferences\u003cbr\u003e 8. Simulation for checking statistical procedures and model fits\u003cbr\u003e 9. Causal inference using regression on the treatment variable\u003cbr\u003e 10. Causal inference using more advanced models\u003cbr\u003e Part II. A. Multilevel Regression: 11. Multilevel structures\u003cbr\u003e 12. Multilevel linear models: the basics\u003cbr\u003e 13. Multilevel linear models: varying slopes, non-nested models and other complexities\u003cbr\u003e 14. Multilevel logistic regression\u003cbr\u003e 15. Multilevel generalized linear models\u003cbr\u003e Part II. B. Fitting Multilevel Models: 16. Multilevel modeling in bugs and R: the basics\u003cbr\u003e 17. Fitting multilevel linear and generalized linear models in bugs and R\u003cbr\u003e 18. Likelihood and Bayesian inference and computation\u003cbr\u003e 19. Debugging and speeding convergence\u003cbr\u003e Part III. From Data Collection to Model Understanding to Model Checking: 20. Sample size and power calculations\u003cbr\u003e 21. Understanding and summarizing the fitted models\u003cbr\u003e 22. Analysis of variance\u003cbr\u003e 23. Causal inference using multilevel models\u003cbr\u003e 24. Model checking and comparison\u003cbr\u003e 25. Missing data imputation\u003cbr\u003e Appendixes: A. Six quick tips to improve your regression modeling\u003cbr\u003e B. Statistical graphics for research and presentation\u003cbr\u003e C. Software\u003cbr\u003e References.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Probability \u0026amp; statistics [\u003ca title=\"See our other books on Probability \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Probability%20\u0026amp;%20statistics%20%5BPBT%5D%22\"\u003ePBT\u003c\/a\u003e], Politics \u0026amp; government [\u003ca title=\"See our other books on Politics \u0026amp; government\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Politics%20\u0026amp;%20government%20%5BJP%5D%22\"\u003eJP\u003c\/a\u003e], Psychological testing \u0026amp; measurement [\u003ca title=\"See our other books on Psychological testing \u0026amp; measurement\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Psychological%20testing%20\u0026amp;%20measurement%20%5BJMBT%5D%22\"\u003eJMBT\u003c\/a\u003e], Social research \u0026amp; statistics [\u003ca title=\"See our other books on Social research \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Social%20research%20\u0026amp;%20statistics%20%5BJHBC%5D%22\"\u003eJHBC\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46004773454104,"sku":"9780521867061","price":95.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780521686891_ef453e5f-61d7-471a-9aa9-b13f0723cf1a.jpg?v=1691358621","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/data-analysis-using-regression-and-multilevel-hierarchical-models-hardback-9780521867061","provider":"Freshly Printed Books","version":"1.0","type":"link"}