Regression with Social Data Modeling Continuous and Limited Response Variables

Author/creator DeMaris, Alfred Author
Format Electronic
Publication InfoWiley-Interscience [Imprint] Hoboken : John Wiley & Sons, Incorporated
Description512 p. ill
Supplemental ContentFull text available from eBooks on EBSCOhost

SeriesWiley Series in Probability and Statistics Ser. 417
Summary Annotation An accessible introduction to the use of regression analysis in the social sciencesRegression 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 regressionsMultiple regression with ANOVA and ANCOVA modelsBinary and multinomial response modelsPoisson, negative binomial, and other regression models for event-count dataSurvival analysis using multistate, multiepisode, and interval-censored survival modelsConcepts 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 books 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.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9780471677567
ISBN0471677566 (Online Resource) Active Record
Stock number00028608

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