Categorical Data Analysis and Multilevel Modeling Using R (Paperback)

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.

General

Imprint:	Sage Publications Ltd
Country of origin:	United States
Release date:	April 2022
Authors:	Xing Liu
Dimensions:	231 x 187 x 40mm (L x W x T)
Format:	Paperback
Pages:	744
ISBN-13:	978-1-5443-2490-6
Categories:	Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Social sciences > Politics & government > Political science & theory Books > Social sciences > Sociology, social studies > Social research & statistics > General
LSN:	1-5443-2490-1
Barcode:	9781544324906

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