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

- Xing Liu - Eastern Connecticut State University

**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 at https://study.sagepub.com/liu-aolr contains data sets, Stata code, and answers to in-text questions.

**Available with**

**Perusall****—an eBook that makes it easier to prepare for class**

*Perusall*is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

### Supplements

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.

**University of Houston**

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.

**University of La Verne**