1st Edition
Ordinal Data Analysis Statistical Perspective with Applications
Part 1: Introduction to Ordinal Data
1. Ordinal Data
Part 2: Exploratory Analysis
2. Summarizing Ordinal Data
Part 3: Methods for the Analysis of Ordinal Data
3. Historical Perspective
4. Likert Scale
5. Cumulative Distribution Function (CDF) Models
6. Latent Variable Models: Structural Equation Models
Part 4: Further Work with Ordinal Data
7. Diagnostics of the Ordinal Regression Models
8. Simulating Ordinal Models
Part 5: Overall Summary
9. Data Story: Analysis of the Heart Data
10. Tying up Loose Ends and Overall Summary
Biography
Nairanjana (aka “Jan”) Dasgupta is a Regents Professor and Boeing Distinguished Professor of Math and Science Education at Washington State University. She also serves as the Professor of Statistics and Director of the Data Analytics Program. She is a Fellow of ASA and an inductee in the WA State Academy of Sciences. She is passionate about the understandability and applicability of statistical methods in real-life applications.
Jillian Morrison is Assistant Professor of Statistical and Data Sciences at The College of Wooster. She serves as Chair of the Communications Committee and a member of the governing council for the Caucus for Women in Statistics and Data Science. She is also a fellow of the Mathematical Association of America’s Project NExT. Her work focuses on applying statistical and data science methods to solve problems in the real world.
"It is a useful text for anyone wishing to learn about recent research advances while supplementing the knowledge provided. In fact, there are several hints that refer to the reader’s sensitivity and curiosity for further investigation."
-Maria Iannario in the Journal of the American Statistical Association, Febuary 2025.
