Applied Ordinal Logistic Regression Using Stata : From Single-Level to Multilevel Modeling

Liu, Xing

ISBN 10: 148331975X / ISBN 13: 9781483319759

Published by SAGE Publications, Incorporated, 2015

About this Item

Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Seller Inventory # 57756759-6

Bibliographic Details

• Title: Applied Ordinal Logistic Regression Using Stata : From Single-Level to Multilevel Modeling
• Publisher: SAGE Publications, Incorporated
• Publication Date: 2015
• Language: English
• ISBN 10: 148331975X
• ISBN 13: 9781483319759
• Binding: Soft cover
• Condition: Good
• Weight: 1.786 pounds

About this title

Synopsis

The first book to provide a unified framework for both single-level and multilevel modeling of ordinal categorical data, Applied Ordinal Logistic Regression Using Stata helps readers learn how to conduct analyses, interpret the results from Stata output, and present those results in scholarly writing. Using step-by-step instructions, this non-technical, applied book leads students, applied researchers, and practitioners to a deeper understanding of statistical concepts by closely connecting the underlying theories of models with the application of real-world data using statistical software. 

An open-access website for the book contains data sets, Stata code, and answers to in-text questions.

About the Author

Xing Liu, Ph.D., is a Distinguished 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 two statistics books, Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling and Categorical Data Analysis and Multilevel Modeling Using R. His major publications focus on advanced statistical models. His articles were recognized among the most popular papers published in the Journal of Modern Applied Statistical Methods (JMASM). Dr. Liu is the recipient of the Distinguished Professor Award and the Excellence Award in Creativity/Scholarship at Eastern Connecticut State University.