Regression Analysis: A Practical Introduction - Softcover

Arkes, Jeremy

 
9781032257839: Regression Analysis: A Practical Introduction
Softcover
ISBN 10: 1032257830 ISBN 13: 9781032257839
Publisher: Routledge, 2023

Synopsis

This thoroughly practical and engaging textbook is designed to equip students with the skills needed to undertake sound regression analysis without requiring high-level math.

Regression Analysis covers the concepts needed to design optimal regression models and to properly interpret regressions. It details the most common pitfalls, including three sources of bias not covered in other textbooks. Rather than focusing on equations and proofs, the book develops an understanding of these biases visually and with examples of situations in which such biases could arise. In addition, it describes how ‘holding other factors constant’ actually works and when it does not work. This second edition features a new chapter on integrity and ethics, and has been updated throughout to include more international examples. Each chapter offers examples, exercises, and clear summaries, all of which are designed to support student learning to help towards producing responsible research.

This is the textbook the author wishes he had learned from, as it would have helped him avoid many research mistakes he made in his career. It is ideal for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand regressions. Additional digital supplements are available at: www.youtube.com/channel/UCenm3BWqQyXA2JRKB_QXGyw.

"synopsis" may belong to another edition of this title.

About the Author

Jeremy Arkes is a retired economics professor from the Graduate School of Business and Public Policy, Naval Postgraduate School, U.S.A. He is currently writing books on economics, nature, and basketball.

From the Back Cover

This thoroughly practical and engaging textbook is designed to equip students with the skills needed to undertake sound regression analysis without requiring high-level math. Regression Analysis covers the concepts needed to design optimal regression models and to properly interpret regressions.

"About this title" may belong to another edition of this title.

Publisher
Routledge
Publication date
2023
Language
English
ISBN 10 
1032257830
ISBN 13 
9781032257839
Binding
Paperback
Edition number
2
Number of pages
412

Other Popular Editions of the Same Title

9781032257846: Regression Analysis: A Practical Introduction

Featured Edition

ISBN 10:  1032257849 ISBN 13:  9781032257846
Publisher: Routledge, 2023
Hardcover