Regression With Social Data (eBook)

Modeling Continuous and Limited Response Variables

Alfred DeMaris (Autor)

eBook Download: PDF

2004 | 1. Auflage
560 Seiten
John Wiley & Sons (Verlag)
978-0-471-67755-0 (ISBN)

Infos

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.

Autor

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.

Inhalt

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.

Rezensionen

"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."
(Sociological Methods & Research, 2009)

"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." (Technometrics, August 2005)

"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." (The American Statistician, May 2006)

Produkt-Details

• Erscheint lt. Verlag: 11.11.2004
• Reihe/Serie: Wiley Series in Probability and Statistics
• Reihe/Serie: Wiley Series in Probability and Statistics
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Psychologie
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Schlagworte: Methoden der Daten- u. Stichprobenerhebung • Regression Analysis • Regressionsanalyse • Statistics • Statistik • Survey Research Methods & Sampling
• ISBN-10: 0-471-67755-8 / 0471677558
• ISBN-13: 978-0-471-67755-0 / 9780471677550