1st Edition
Making Effective Graphs in the Social Sciences Fundamental Principles and Processes
Acknowledgement
Chapter 1: Introduction
Chapter 2: Statistical Review
Chapter 3: What Does the Reader Need from a Graphic?
Chapter 4: Guiding Principles for Graphs
Chapter 5: Graphs for Describing Data
Chapter 6: Graphs for Describing Correlation or Regression
Chapter 7: Graphs for Comparing Different Groups
Chapter 8: Graphs for Comparing One Group in Different Conditions
Chapter 9: Graphs for Comparing Groups or Conditions with Multiple Independent Variables
Chapter 10: Final Thoughts and Advice on Graphs (and non-Graphs).
Appendix A: Common Editing Steps for Graphs in Microsoft Excel
Appendix B: Using SPSS
Appendix C: Using R
Index
Biography
Eric Johann Hiris is a researcher in the Department of Psychology at the University of Ostrava, Czech Republic. He studies visual perception and cognitive psychology and has published numerous peer-reviewed journal articles on these topics. He received his BA from Oakland University and his MA and PhD from Vanderbilt University. He was previously an associate professor at St. Mary's College of Maryland, a professor at the University of Northern Iowa, and a professor at the University of Wisconsin – La Crosse.
Hiris’ Making Effective Graphs in the Social Sciences provides a guide for both students and professionals. Hiris provides guiding principles using examples and humor with the added benefit of clear practical instruction in making graphs across multiple platforms.
Professor Aileen M. Bailey, St. Mary’s College of Maryland, United States
Eric Hiris, an accomplished cognitive psychologist, has produced an excellent book on Making Effective Graphs in the Social Sciences. Full of ideas and resources for creating informative, attractive graphs, the book reifies the maxim that a well-composed picture can be worth a thousand words.
Professor Emeritus Randolph Blake, Vanderbilt University
Clear guiding principles and developed examples illustrate how smart graphing choices improve reader experience. Hiris gives instructors, researchers, and students a solid, usable resource that covers the why and how of effective graphs, and thus, directly contributes to science and data literacy.
Dr. Kimberly Epting, Department of Psychology, Elon University
This book is an invaluable guide for students and researchers seeking clarity in data visualization. By bridging SPSS, Excel, and R, it provides practical strategies to transform data into meaningful graphics, making complex results easy to understand and communicate across audiences.
Professor Alessandro Quartiroli, University of Wisconsin - La Crosse
