Description
| Product ID: | 9781529761269 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Series: | The SAGE Quantitative Research Kit |
| Title: | Regression Models for Categorical and Count Data |
| Authors: | Author: Peter Martin |
| Page Count: | 272 |
| Subjects: | Research methods: general, Research methods: general |
| Description: | Select Guide Rating In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin provides practical guidance on conducting regression analysis on categorical and count data. The author covers both the theory and application of statistical models, with the help of illuminating graphs. 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 |
| Imprint Name: | Sage Publications Ltd |
| Publisher Name: | Sage Publications Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2022-03-21 |
