Description
| Product ID: | 9781544324906 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Categorical Data Analysis and Multilevel Modeling Using R |
| Authors: | Author: Xing Liu |
| Page Count: | 744 |
| Subjects: | Research methods: general, Research methods: general, Social research and statistics, Political science and theory, Social research & statistics, Political science & theory |
| Description: | Select Guide Rating Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. It offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site. |
| Imprint Name: | SAGE Publications Inc |
| Publisher Name: | SAGE Publications Inc |
| Country of Publication: | GB |
| Publishing Date: | 2022-05-10 |
