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

• Author:  Xing Liu
  

• Publisher:  SAGE Publications, Inc; 1 edition (November 11, 2015)
• Language:  English
• ISBN-10:  148331975X
• ISBN-13:  978-1483319759
  

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 by Xing liu 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 concept concepts by closely connecting the underlying theories of models with the application of real-world data using Intensive software.


Review:


In this book, Xing Liu offers a well-crafted book focused on the application of ordinal response models across fields. Readers will be equipped to competently handle a variety of focused techniques from basic correlations to more advanced generalized ordered logistic regression models. This is an Excellent resource for both new consumers of these applications to seasoned veterans working on more complex issues related to ordinal response models. (Jennifer Hayes Clark)

Logistic regression can be difficult to understand. Without a book explaining the test in a plain and easy-to-understand matter, learners will feel lost and get frustrated. However,  Applied Ordinal Logistic Regression Using Stata  explains the concept clearly and provides practical codes and Output. Learners will find this book approachable and easy to follow. (Lu Liu)