Applied Regression Models in the Social Sciences

An accessible and practical guide to the use of applied regression models in testing and evaluating hypotheses about social relationships.

Dudley L. Poston, Jr (Author), Eugenia Conde (Author), Layton M. Field (Author)

9781108926263, Cambridge University Press

Paperback / softback, published 17 August 2023

400 pages
25.3 x 17.7 x 2.5 cm, 1.14 kg

'This textbook fills a critical void in the market for statistical tutorials by bridging the gap between elementary and advanced statistics and providing real-world examples in both Stata and R, allowing students to develop proficiency in the statistical software environments in highest demand. It strikes the perfect balance, neither oversimplifying nor overwhelming with complex mathematics, making it the ideal companion for graduate students seeking a solid foundation in the skills needed to generate social science findings with advanced insights. From correlation analysis to multi-level modeling, this comprehensive and versatile book covers a wide range of regression techniques, equipping learners with a diverse toolkit for trustworthy data analysis and allowing them to transition from the classroom to the laboratory with confidence. The authors' expertise shines through in this clear, comprehensive, and engaging book that is destined to be an indispensable resource.' Stephanie Bohon, University of Tennessee

This accessible and practical textbook gives students the perfect guide to the use of regression models in testing and evaluating hypotheses dealing with social relationships. A range of statistical methods suited to a wide variety of dependent variables is explained, which will allow students to read, understand, and interpret complex statistical analyses of social data. Each chapter contains example applications using relevant statistical methods in both Stata and R, giving students direct experience of applying their knowledge. A full suite of online resources - including statistical command files, datasets and results files, homework assignments, class discussion topics, PowerPoint slides, and exam questions - supports the student to work independently with the data, and the instructor to deliver the most effective possible course. This is the ideal textbook for advanced undergraduate and beginning graduate students taking courses in applied social statistics.

List of figures
List of tables
Preface
1. Introduction
2. Undertaking statistical analysis using Stata
3. Undertaking statistical analysis using R
4. Descriptive statistics and the normal distribution
5. Statistical tables and cross-tabulations
6. Bivariate regression and correlation and statistical inference
7. Multiple regression and correlation
8. Regression assumptions and diagnostics and robust regression
9. Missing data
10. Issues of survey design
11. Binomial logistic regression
12. Ordinal logistic regression
13. Multinomial logistic regression
14. Count regression
15. Survival analysis
16. Multilevel models
17. Other issues and final
References
Index.

Subject Areas: Social research & statistics [JHBC]