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Regression Models for Categorical and Count Data

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Regression Models for Categorical and Count Data Synopsis

This text provides practical guidance on conducting regression analysis on categorical and count data. Step by step and supported by lots of helpful graphs, it covers both the theoretical underpinnings of these methods as well as their application, giving you the skills needed to apply them to your own research. It offers guidance on:

·       Using logistic regression models for binary, ordinal, and multinomial outcomes

·       Applying count regression, including Poisson, negative binomial, and zero-inflated models

·       Choosing the most appropriate model to use for your research

·       The general principles of good statistical modelling in practice

Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey

About This Edition

ISBN: 9781529761269
Publication date:
Author: Peter Martin
Publisher: Sage an imprint of SAGE Publications
Format: Paperback
Pagination: 272 pages
Series: The SAGE Quantitative Research Kit
Genres: Social research and statistics
Research and information: general