Regression models for categorical and count data / Peter Martin.
| Author/creator | Martin, Peter |
| Format | Electronic |
| Publication Info | London ; Thousand Oaks, California : SAGE Publications, [2021] |
| Description | xx, 247 pages : illustrations (black & white) ; 25 cm. |
| Supplemental Content | Full text available from SAGE Research Methods Core |
| Subjects |
| Series | The Sage quantitative research kit The Sage quantitative research kit UNAUTHORIZED |
| Abstract | 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. -- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Issued in other form | Electronic version: Martin, Peter. Regression models for categorical and count data. London ; Thousand Oaks, California : SAGE Publications, [2021] 9781529762679 |
| Genre/form | Electronic books. |
| LCCN | 2021935562 |
| ISBN | 9781529761269 paperback |
| ISBN | 1529761263 paperback |