Categorical Data Analysis and Multilevel Modeling Using R
Author | : Xing Liu |
Publisher | : SAGE Publications |
Total Pages | : 745 |
Release | : 2022-02-24 |
ISBN-10 | : 9781544324913 |
ISBN-13 | : 154432491X |
Rating | : 4/5 (91X Downloads) |
Download or read book Categorical Data Analysis and Multilevel Modeling Using R written by Xing Liu and published by SAGE Publications. This book was released on 2022-02-24 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.