Regression Models for Categorical and Count Data

By Peter Martin

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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

Format:Paperback

Language:English

ISBN:1529761263

ISBN13:9781529761269

Release Date:May 2022

Publisher:Sage Publications Ltd

Length:272 Pages

Weight:0.96 lbs.

Dimensions:0.6" x 6.7" x 9.6"

Related Subjects

Math Mathematics Science & Math Social Science Social Sciences

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Regression Models for Categorical and Count Data

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