Peter Martin
Regression Models for Categorical and Count Data
Regression Models for Categorical and Count Data
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- More about Regression Models for Categorical and Count Data
This text provides practical guidance on conducting regression analysis on categorical and count data, covering logistic regression, count regression, and choosing the most appropriate model. It is part of The SAGE Quantitative Research Kit and will help you succeed in your quantitative research journey.
Format: Paperback / softback
Length: 272 pages
Publication date: 21 March 2022
Publisher: SAGE Publications Ltd
This comprehensive text offers invaluable guidance on conducting regression analysis on both categorical and count data. Step-by-step and accompanied by numerous helpful graphs, it delves into both the theoretical foundations and practical applications of these methods, equipping readers with the skills necessary to apply them to their own research endeavors. The book provides comprehensive coverage of key topics, including:
• Utilizing logistic regression models for binary, ordinal, and multinomial outcomes
• Applying count regression, including Poisson, negative binomial, and zero-inflated models
• Selecting the most appropriate model for your research
• Adhering to the general principles of good statistical modeling in practice
As part of The SAGE Quantitative Research Kit, this book serves as a valuable resource for individuals embarking on their quantitative research journey. It empowers readers with the knowledge and confidence required to excel in their statistical analyses and make meaningful contributions to the field.
Weight: 472g
Dimension: 242 x 169 x 18 (mm)
ISBN-13: 9781529761269
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