Regression With Social Data – Modeling Continuous and Limited Response Variables
John Wiley & Sons Inc (Hersteller)
978-0-471-67756-7 (ISBN)
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This work is an accessible introduction to the use of regression analysis in the social sciences. This is 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. The 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; and, Survival analysis using multistate, multiepisode, and interval-censored survival models.
ALFRED DeMARIS, PhD, is Professor of Sociology at Bowling Green State University, Ohio. In addition to consulting on a regular basis, Dr. DeMaris has published well over fifty research papers and is a member of several local university and community boards.
Preface. 1. Introduction to Regression Modeling. 2. Simple Linear Regression. 3. Introduction to Multiple Regression. 4. Multiple Regression with Categorical Predictors: ANOVA and ANCOVA Models. 5. Modeling Nonlinearity. 6. Advanced Issues in Multiple Regression. 7. Regression with a Binary Response. 8. Advanced Topics in Logistic Regression. 9. Truncated and Censored Regression Models. 10. Regression Models for an Event Count. 11. Introduction to Survival Analysis. 12. Multistate, Multiepisode, and Interval--Censored Models in Survival Analysis. Appendix A: Mathematics Tutorials. Appendix B: Answers to Selected Exercises. References. Index.
| Erscheint lt. Verlag | 1.2.2005 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Gewicht | 10 g |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| ISBN-10 | 0-471-67756-6 / 0471677566 |
| ISBN-13 | 978-0-471-67756-7 / 9780471677567 |
| Zustand | Neuware |
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