Categorical Data Analysis and Multilevel Modeling Using R
Proud to be B-Corp
The feel-good place to buy books

Categorical Data Analysis and Multilevel Modeling Using R by Xing Liu
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.
This book provides a highly accessible and practical introduction to some of the most useful regression models in social science researchMost students and applied researchers will find it valuable. -- Yang Cao
I would highly recommend this book, especially if readers are beginners. -- Man-Kit Lei
This book provides an engaging and intuitive introduction to maximum likelihood estimation through contemporary examples. -- Jennifer Hayes Clark
This is an excellent book that covers many topics that are given just slight attention in many other books.
-- Ahmed IbrahimI would highly recommend this book, especially if readers are beginners. -- Man-Kit Lei
This book provides an engaging and intuitive introduction to maximum likelihood estimation through contemporary examples. -- Jennifer Hayes Clark
Xing Liu Ph.D., is a professor of educational research and assessment at Eastern Connecticut State University. He received his Ph.D. in measurement, evaluation, and assessment in the field of educational psychology from the University of Connecticut, Storrs. His interests include categorical data analysis, multilevel modeling, longitudinal data analysis, structural equation modeling, educational assessment, propensity score methods, data science, and Bayesian methods. He is the author of Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling (2016). His major publications focus on advanced statistical models. His articles have been recognized among the most popular papers published in the Journal of Modern Applied Statistical Methods (JMASM). Dr. Liu is the recipient of the Excellence Award in Creativity/Scholarship at Eastern Connecticut State University.
| SKU | Nicht verfügbar |
| ISBN 13 | 9781544324906 |
| ISBN 10 | 1544324901 |
| Titel | Categorical Data Analysis and Multilevel Modeling Using R |
| Autor | Xing Liu |
| Buchzustand | Nicht verfügbar |
| Bindungsart | Paperback |
| Verlag | SAGE Publications Inc |
| Erscheinungsjahr | 2022-05-10 |
| Seitenanzahl | 744 |
| Hinweis auf dem Einband | Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden. |
| Hinweis | Nicht verfügbar |