Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling For A Comprehensive Guide
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Book Description:
ISBN-13: 9781483319759
This book provides a comprehensive guide to understanding and applying ordinal logistic regression using Stata software. The content covers a range of topics, from basic concepts and assumptions of ordinal logistic regression to more advanced techniques such as multilevel modeling.
The book begins by introducing readers to the fundamentals of ordinal logistic regression, including the interpretation of odds ratios and the assumptions of the model. It then progresses to more complex topics such as testing for proportional odds assumption and assessing model fit.
One of the key strengths of this book is its focus on practical applications. The author provides step-by-step instructions on how to conduct ordinal logistic regression analysis using Stata, with detailed examples and screenshots to guide readers through the process.
Additionally, the book explores the extension of ordinal logistic regression to multilevel modeling, allowing readers to analyze nested data structures and account for clustering effects.
this book is a valuable resource for researchers, students, and practitioners looking to enhance their understanding of ordinal logistic regression and its applications in various fields.
This edition retains the full content with the added advantage of portability, allowing readers to easily access and engage with the material from any device, whether in a classroom or during fieldwork.
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