Martin, Peter,

Regression models for categorical and count data / Peter Martin. - London : Sage , 2021. - xx, 247 pages : illustrations (black & white) ; 25 cm. - The Sage quantitative research kit . - The Sage quantitative research kit .

Includes bibliographical references and index.

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. --

9781529761269 1529761263

2021935562


Regression analysis--Mathematical models.
Categories (Mathematics)--Data processing.
Quantitative research.
Regression analysis.
Mathematical models.
Regression Analysis
Models, Theoretical
Recherche quantitative.
Analyse de régression.
Modèles mathématiques.
mathematical models.
Mathematical models.
Quantitative research.
Regression analysis.

QA278.2 / .M376 2021

519.536 / MAR