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.
eBook - ePub
Applied Ordinal Logistic Regression Using Stata
From Single-Level to Multilevel Modeling
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
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Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Acknowledgments
- Preface
- About the Author
- Chapter 1 Stata Basics
- Chapter 2 Review of Basic Statistics
- Chapter 3 Logistic Regression for Binary Data
- Chapter 4 Proportional Odds Models for Ordinal Response Variables
- Chapter 5 Partial Proportional Odds Models and Generalized Ordinal Logistic Regression Models
- Chapter 6 Continuation Ratio Models
- Chapter 7 Adjacent Categories Logistic Regression Models
- Chapter 8 Stereotype Logistic Regression Models
- Chapter 9 Ordinal Logistic Regression With Complex Survey Sampling Designs
- Chapter 10 Multilevel Modeling for Continuous and Binary Response Variables
- Chapter 11 Multilevel Modeling for Ordinal Response Variables
- Chapter 12 Beyond Ordinal Logistic Regression Models: Ordinal Probit Regression Models and Multinomial Logistic Regression Models
- Key Formulas for Statistical Models
- Appendix: List of Stata User-Written Commands
- References
- Index
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Yes, you can access Applied Ordinal Logistic Regression Using Stata by Xing Liu in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over 1.5 million books available in our catalogue for you to explore.