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Linear Regression: An Introduction to Statistical Models (The SAGE Quantitative Research Kit) - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Dr Peter Martin is Lecturer in Applied Statistics at University College London. He has taught statistics to students of sociology, psychology, epidemiology, and other disciplines since 2003. One of the joys of being a statistician is that it opens doors to research collaborations with many people in diverse fields. Dr Martin has been involved in investigations in life course research, survey methodology, and the analysis of racism. In recent years his research has focused on health inequalities, psychotherapy, and the evaluation of healthcare services. He has a particular interest in topics around mental health.
From the Back Cover
In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. The author covers both the theory and application of statistical models, with the help of illuminating graphs.
"About this title" may belong to another edition of this title.
- PublisherSAGE Publications Ltd
- Publication date2022
- ISBN 10 1526424177
- ISBN 13 9781526424174
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages200
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