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


Linear Regression

by Peter Martin

Published 1 March 2022

This text introduces the fundamental linear regression models used in quantitative research.  It covers both the theory and application of these statistical models, and illustrates them with illuminating graphs. The author offers guidence on:

  • Deciding the most appropriate model to use for your research
  • Conducting simple and multiple linear regression
  • Checking model assumptions and the dangers of overfitting

Part of The SAGE Quantitative Research Kit, this book will help you make the crucial steps towards mastering multivariate analysis of social science data.