Nicht lieferbar
An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables 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. Content includes coverage of: * Logit, probit, scobit, truncated, and censored regressions * Multiple regression with ANOVA and ANCOVA models * Binary and multinomial response models * Poisson, negative binomial, and other regression models for event-count data * Survival analysis using multistate, multiepisode, and interval-censored survival models Concepts 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.
"This book is intended to serve as a text for intermediate-levelsocial science graduate courses on regression and as a referencebook for practicing researchers. I recommend it for both purposes."(Sociological Methods & Research, 2009)
"I would have left 'social data' out of the title of thisexcellent book.... The book has value for any statistician for itsinclusion of all possible types of response measurement in a singleregression textbook." (Technometrics, August 2005)
"Regression with Social Data includes features desirable of atextbook for classroom use (e.g., datasets, 275 end-of-chapterexercises with partial solutions) but also has the depth andsophistication of a reference book. As a reference book, it isuseful to anyone in statistical consulting or social scienceresearch." (The American Statistician, May 2006)
"I would have left 'social data' out of the title of thisexcellent book.... The book has value for any statistician for itsinclusion of all possible types of response measurement in a singleregression textbook." (Technometrics, August 2005)
"Regression with Social Data includes features desirable of atextbook for classroom use (e.g., datasets, 275 end-of-chapterexercises with partial solutions) but also has the depth andsophistication of a reference book. As a reference book, it isuseful to anyone in statistical consulting or social scienceresearch." (The American Statistician, May 2006)