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 regressionChecking 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.
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What is a statistical model Simple linear regression Assumptions and transformations Multiple linear regression: A model for multivariate relationships Multiple linear regression: Inference, assumptions, and standardization Where to go from here
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Martin provides a comprehensive account of linear regression and offers a detailed and practical guide on how to interpret all the coefficients and statistics included in a model - a valuable resource for social scientists at all stages in their careers.
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Produktdetaljer

ISBN
9781526424174
Publisert
2022-03-21
Utgiver
Vendor
SAGE Publications Ltd
Vekt
360 gr
Høyde
242 mm
Bredde
170 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
200

Forfatter

Om bidragsyterne

 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.