Making Effective Graphs in the Social Sciences
Fundamental Principles and Processes
1. Auflage
Erscheint ca. am 29. Juni 2026
Buch
Hardcover
456 Seiten
978-1-032-74854-2 (ISBN)
Beschreibung
Making Effective Graphs in the Social Sciences provides the knowledge and skills for creating graphs that are easy to interpret accurately.
This includes: (a) knowledge of the different types of graphs and under what circumstances each graph is appropriate, (b) knowledge of what decisions to make when choosing graph components, such as the type of axis or data symbols, and what evidence supports those decisions, and (c) how to use consistency within and across graphs to make your graphs easier to understand. In addition to developing this knowledge base, practical skills are developed for creating effective graphs in Microsoft Excel, IBM SPSS Statistics software ("SPSS"), and R. For Microsoft Excel and SPSS, this includes illustrated and annotated step-by-step instructions. Electronic resources, including full Excel and SPSS appendices and downloadable datasets hosted on the Routledge product page, support the worked examples in the book. Social science researchers and students in data-based social science courses will benefit from the focus on both knowledge and practical skills.
Instructors will find the book self-contained - allowing students to make more effective graphs with minimal instructor intervention.
This includes: (a) knowledge of the different types of graphs and under what circumstances each graph is appropriate, (b) knowledge of what decisions to make when choosing graph components, such as the type of axis or data symbols, and what evidence supports those decisions, and (c) how to use consistency within and across graphs to make your graphs easier to understand. In addition to developing this knowledge base, practical skills are developed for creating effective graphs in Microsoft Excel, IBM SPSS Statistics software ("SPSS"), and R. For Microsoft Excel and SPSS, this includes illustrated and annotated step-by-step instructions. Electronic resources, including full Excel and SPSS appendices and downloadable datasets hosted on the Routledge product page, support the worked examples in the book. Social science researchers and students in data-based social science courses will benefit from the focus on both knowledge and practical skills.
Instructors will find the book self-contained - allowing students to make more effective graphs with minimal instructor intervention.
Rezensionen / Stimmen
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
Weitere Details
Sprache
Englisch
Verlagsort
London
Großbritannien
Verlagsgruppe
Taylor & Francis Ltd
Zielgruppe
Für höhere Schule und Studium
Postgraduate and Undergraduate Core
Illustrationen
219 s/w Abbildungen, 280 farbige Abbildungen, 24 s/w Tabellen
24 Tables, black and white; 280 Illustrations, color; 219 Illustrations, black and white
Maße
Höhe: 246 mm
Breite: 174 mm
ISBN-13
978-1-032-74854-2 (9781032748542)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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Andere Ausgaben
Eric Johann Hiris
Making Effective Graphs in the Social Sciences
Fundamental Principles and Processes
E-Book
ca. 06/2026
1. Auflage
Routledge
82,99 €
Als Download verfügbar
Eric Johann Hiris
Making Effective Graphs in the Social Sciences
Fundamental Principles and Processes
E-Book
ca. 06/2026
1. Auflage
Routledge
82,99 €
Als Download verfügbar
Eric Johann Hiris
Making Effective Graphs in the Social Sciences
Fundamental Principles and Processes
Buch
ca. 06/2026
1. Auflage
Routledge
78,00 €
Noch nicht erschienen
Person
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.
Inhalt
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