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This book is a step-by-step data story for analysing ordinal data from start to finish. The book is for researchers, statisticians and scientists who are working with data sets where the response is ordinal. This type of data is common in many disciplines, not just in surveys.
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.
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
