Categorical Data Analysis and Multilevel Modeling Using R
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- Synopsis
- 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.
- Copyright:
- 2023
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 744 Pages
- ISBN-13:
- 9781544324890
- Related ISBNs:
- 9781544324906, 9781544324883, 9781544324913
- Publisher:
- SAGE Publications
- Date of Addition:
- 09/29/23
- Copyrighted By:
- SAGE Publications, Inc.
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Social Studies, Mathematics and Statistics, Sociology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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