Ordinal Data Analysis: Statistical Perspective with Applications

Author:   Nairanjana Dasgupta (Washington State University) ,  Jillian Morrison (The College of Wooster)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367855901


Pages:   190
Publication Date:   04 June 2024
Format:   Hardback
Availability:   In Print   Availability explained
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Ordinal Data Analysis: Statistical Perspective with Applications


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Author:   Nairanjana Dasgupta (Washington State University) ,  Jillian Morrison (The College of Wooster)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.539kg
ISBN:  

9780367855901


ISBN 10:   0367855909
Pages:   190
Publication Date:   04 June 2024
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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Author Information

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.

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