Regression models for categorical and count data /
Material type:
TextSeries: The Sage quantitative research kitPublication details: London: Sage, 2021Description: xx, 247p.: ill(black & white)ISBN: 9781529761269; 1529761263Subject(s): Categories (Mathematics) | Quantitative research | Models, Theoretical | mathematical models | Regression analysisDDC classification: 519.536 Summary: 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. --
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
BK
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Stack | 519.536 MAR/R (Browse shelf (Opens below)) | Available | 68129 |
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. --
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