Categorical Data Analysis and Multilevel Modeling Using R by Liu, Xing

Categorical Data Analysis and Multilevel Modeling Using R

Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing...
¥38,815 JPY
¥38,815 JPY
SKU: 9781544324906
Product Type: Books
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Author: Xing Liu
Format: Paperback
Language: English
Subtotal: ¥38,815
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Categorical Data Analysis and Multilevel Modeling Using R by Liu, Xing

Categorical Data Analysis and Multilevel Modeling Using R

¥38,815

Categorical Data Analysis and Multilevel Modeling Using R

¥38,815
Author: Xing Liu
Format: Paperback
Language: English

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.



Author: Xing Liu
Publisher: Sage Publications, Inc
Published: 03/16/2022
Pages: 744
Binding Type: Paperback
Weight: 1.35lbs
Size: 9.06h x 7.32w x 0.79d
ISBN: 9781544324906

About the Author
Liu, Xing: -

Xing Liu, Ph.D., is an associate 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, and educational assessment. 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.



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