Applied Ordinal Logistic Regression Using Stata
From Single-Level to Multilevel Modeling
- Xing Liu - Eastern Connecticut State University
Regression & Correlation | Statistical Computing Environments
An open-access website for the book at https://study.sagepub.com/liu-aolr contains data sets, Stata code, and answers to in-text questions.
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Datasets and Stata Code
Answers to In-Text Questions
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 statistical techniques from basic correlations to more advanced generalized ordered logistic regression models. This is an excellent resource for both new consumers of these statistical applications to seasoned veterans working on more complex issues related to ordinal response models.
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.