Categorical Data Analysis and Multilevel Modeling Using R

Häftad, Engelska, 2022

1 536 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2022-05-10
Mått:187 x 231 x 40 mm
Vikt:1 260 g
Format:Häftad
Språk:Engelska
Antal sidor:744
Upplaga:1
Förlag:SAGE Publications
ISBN:9781544324906

Utforska kategorier

Pedagogisk psykologi inom Psykologi och pedagogik
Sociologi inom Samhälle och politik
Psykologisk metod inom Psykologi och pedagogik

Mer om författaren

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.

Recensioner i media

This book provides a highly accessible and practical introduction to some of the most useful regression models in social science research. Most students and applied researchers will find it valuable.

Innehållsförteckning

Chapter 1. R BasicsChapter 2. Review of Basic StatisticsChapter 3. Logistic Regression for Binary DataChapter 4. Proportional Odds Models for Ordinal Response VariablesChapter 5. Partial Proportional Odds Models and Generalized Ordinal Logistic Regression ModelsChapter 6. Other Ordinal Logistic Regression ModelsChapter 7. Multinomial Logistic Regression ModelsChapter 8. Poisson Regression ModelsChapter 9. Negative Binomial Regression Models and Zero-Inflated ModelsChapter 10. Multilevel Modeling for Continuous Response VariablesChapter 11. Multilevel Modeling for Binary Response VariablesChapter 12. Multilevel Modeling for Ordinal Response VariablesChapter 13. Multilevel Modeling for Count Response VariablesChapter 14. Multilevel Modeling for Nominal Response VariablesChapter 15. Bayesian Generalized Linear ModelsChapter 16. Bayesian Multilevel Modeling of Categorical Response Variables