This book focuses on the best possible communication strategies for anyone working with data. From students developing a research poster to faculty presenting data findings at a conference, it provides the guiding principles of presenting data in evidence-based ways so that audiences are more engaged and researchers are better understood.
This book focuses on the best possible communication strategies for anyone working with data. From students developing a research poster to faculty presenting data findings at a conference, it provides the guiding principles of presenting data in evidence-based ways so that audiences are more engaged and researchers are better understood.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Stephanie D. H. Evergreen is a sought-after speaker, designer, and researcher. She is best known for bringing a research-based approach to helping others better communicate their work through more effective graphs, slides, and reports. She holds a PhD from Western Michigan University in interdisciplinary research, which included a dissertation on the extent of graphic design use in written data reporting. Dr. Evergreen has trained audiences worldwide through keynote presentations and workshops for clients, such as Verizon, Head Start, American Institutes for Research, Brookings Institute, the Ad Council, Boys and Girls Club of America, and the United Nations. She led the first known attempt to revamp the quality of presentations for an entire association: the Potent Presentations Initiative for the American Evaluation Association (AEA). She is the 2015 recipient of the AEA's Marcia Guttentag Promising New Evaluator Award, which recognizes early notable and substantial accomplishments in the field. Dr. Evergreen is coeditor and coauthor of two issues of New Directions for Evaluation on data visualization. She writes a popular blog on data presentation at StephanieEvergreen.com. Her book, Presenting Data Effectively: Communicating Your Findings for Maximum Impact, was published by Sage in Fall 2013 and was listed as number one in Social Science Research on Amazon in the United States and United Kingdom for several weeks.
Inhaltsangabe
About the Author Acknowledgments Preface to the Second Edition 1 The Justification for Presenting Data Effectively Learning Objectives What Does Effective Data Presentation Look Like? What Makes Data Presentation Effective? What Do I Need to Develop Effective Data Presentation? How Do I Navigate This Book? What Is the Bottom Line? Key Points to Remember How Can I Extend This? Where Can I Go for More Information? 2 Graphics Learning Objectives Guiding Ideas How Do I Use Images in Effective Ways? How Do I Efficiently Locate High-Quality Images? Where Should Graphs Go? How Do I Apply These Ideas to Graphs? What Is the Bottom Line? Key Points to Remember How Can I Extend This? Where Can I Go for More Information? 3 Text Learning Objectives Guiding Ideas What Is Type? How Do I Tell These Typefaces Apart? What Works for Paper and What Works for Screen? Did You Just Say I Can't Use Calibri? How Can I Protect Font Choices? How Do Fonts Actually Communicate? What Font Size Should I Use? How Should Lines Be Spaced? How Does Typeface Help Organize Data Presentation? How Do I Apply These Ideas to Graphs? What Is the Bottom Line? Key Points to Remember How Can I Extend This? Where Can I Go for More Information? 4 Color Learning Objectives Guiding Ideas Why Is Color Important to Memory? What Colors Should I Choose? What Should I Watch Out For? How Do I Apply Emphasis Colors? How Do I Apply These Ideas to Graphs? What Is the Bottom Line? Key Points to Remember How Can I Extend This? Where Can I Go for More Information? 5 Arrangement Learning Objectives Guiding Ideas Where Do the Bits and Pieces Go? What Is White Space and How Do I Use It? How Should I Justify Text? How Can I Align Using Typical Software? When Is It Okay to Break the Rules? How Do I Arrange the Sections of the Whole Report? How Do I Apply These Ideas to Graphs? What Is the Bottom Line? Key Points to Remember How Can I Extend This? Where Can I Go for More Information? 6 Making It Easy Learning Objectives Criticism: Trying to Look Slick Criticism: Design Is Expensive Key Points to Remember How Can I Extend This? Where Can I Go for More Information? Appendix A Report Layout Checklist Appendix B Data Visualization Checklist Index
About the Author Acknowledgments Preface to the Second Edition 1 The Justification for Presenting Data Effectively Learning Objectives What Does Effective Data Presentation Look Like? What Makes Data Presentation Effective? What Do I Need to Develop Effective Data Presentation? How Do I Navigate This Book? What Is the Bottom Line? Key Points to Remember How Can I Extend This? Where Can I Go for More Information? 2 Graphics Learning Objectives Guiding Ideas How Do I Use Images in Effective Ways? How Do I Efficiently Locate High-Quality Images? Where Should Graphs Go? How Do I Apply These Ideas to Graphs? What Is the Bottom Line? Key Points to Remember How Can I Extend This? Where Can I Go for More Information? 3 Text Learning Objectives Guiding Ideas What Is Type? How Do I Tell These Typefaces Apart? What Works for Paper and What Works for Screen? Did You Just Say I Can't Use Calibri? How Can I Protect Font Choices? How Do Fonts Actually Communicate? What Font Size Should I Use? How Should Lines Be Spaced? How Does Typeface Help Organize Data Presentation? How Do I Apply These Ideas to Graphs? What Is the Bottom Line? Key Points to Remember How Can I Extend This? Where Can I Go for More Information? 4 Color Learning Objectives Guiding Ideas Why Is Color Important to Memory? What Colors Should I Choose? What Should I Watch Out For? How Do I Apply Emphasis Colors? How Do I Apply These Ideas to Graphs? What Is the Bottom Line? Key Points to Remember How Can I Extend This? Where Can I Go for More Information? 5 Arrangement Learning Objectives Guiding Ideas Where Do the Bits and Pieces Go? What Is White Space and How Do I Use It? How Should I Justify Text? How Can I Align Using Typical Software? When Is It Okay to Break the Rules? How Do I Arrange the Sections of the Whole Report? How Do I Apply These Ideas to Graphs? What Is the Bottom Line? Key Points to Remember How Can I Extend This? Where Can I Go for More Information? 6 Making It Easy Learning Objectives Criticism: Trying to Look Slick Criticism: Design Is Expensive Key Points to Remember How Can I Extend This? Where Can I Go for More Information? Appendix A Report Layout Checklist Appendix B Data Visualization Checklist Index
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