Applied Regression Analysis
Shipping & Delivery
Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock
14-28 Working Days: On Backorder
Will Deliver When Available: On Pre-Order or Reprinting
We ship your order once all items have arrived at our warehouse and are processed. Need those 2-4 day shipping items sooner? Just place a separate order for them!
Product details
- ISBN 9781138335486
- Weight: 900g
- Dimensions: 156 x 234mm
- Publication Date: 28 Oct 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data.
Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and mathematics to get a firm grip on regression and perform it to perfection. This non-technical point of departure is complemented by practical examples of real-life data analysis using statistics software such as Stata, R and SPSS. Parts 1 and 2 of the book cover the basics, such as simple linear regression, multiple linear regression, how to interpret the output from statistics programs, significance testing and the key regression assumptions. Part 3 deals with how to practically handle violations of the classical linear regression assumptions, regression modeling for categorical y-variables and instrumental variable (IV) regression. Part 4 puts the various purposes of, or motivations for, regression into the wider context of writing a scholarly report and points to some extensions to related statistical techniques.
This book is written primarily for those who need to do regression analysis in practice, and not only to understand how this method works in theory. The book’s accessible approach is recommended for students from across the social sciences.
Christer Thrane holds a Ph.D. in Sociology and is Professor at Inland Norway University of Applied Sciences. His research interests include quantitative modeling studies in leisure, recreation, sports and tourism. He has 25 years of experience in teaching quantitative research methods and regression analysis.
