Applied Ordinal Logistic Regression Using Stata
eBook - ePub

Applied Ordinal Logistic Regression Using Stata

From Single-Level to Multilevel Modeling

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Applied Ordinal Logistic Regression Using Stata

From Single-Level to Multilevel Modeling

About this book

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.

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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 one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Brief Contents
  7. Detailed Contents
  8. Acknowledgments
  9. Preface
  10. About the Author
  11. Chapter 1 Stata Basics
  12. Chapter 2 Review of Basic Statistics
  13. Chapter 3 Logistic Regression for Binary Data
  14. Chapter 4 Proportional Odds Models for Ordinal Response Variables
  15. Chapter 5 Partial Proportional Odds Models and Generalized Ordinal Logistic Regression Models
  16. Chapter 6 Continuation Ratio Models
  17. Chapter 7 Adjacent Categories Logistic Regression Models
  18. Chapter 8 Stereotype Logistic Regression Models
  19. Chapter 9 Ordinal Logistic Regression With Complex Survey Sampling Designs
  20. Chapter 10 Multilevel Modeling for Continuous and Binary Response Variables
  21. Chapter 11 Multilevel Modeling for Ordinal Response Variables
  22. Chapter 12 Beyond Ordinal Logistic Regression Models: Ordinal Probit Regression Models and Multinomial Logistic Regression Models
  23. Key Formulas for Statistical Models
  24. Appendix: List of Stata User-Written Commands
  25. References
  26. Index