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This issue delivers concrete suggestions for optimally using data visualization in evaluation, as well as suggestions for best practices in data visualization design. It focuses on specific quantitative and qualitative data visualization approaches that include data dashboards, graphic recording, and geographic information systems (GIS).
Inhaltsverzeichnis
EDITOR-IN-CHIEF'S COMMENT 1 Paul R. Brandon EDITORS' NOTES 3 Tarek Azzam, Stephanie Evergreen 5. Design Principles for Data Visualization in Evaluation 5 Stephanie Evergreen, Chris Metzner This chapter will present design principles that contribute to achieving the communication goal of data visualization, which is to grab audience attention and help them engage with the data such that the resulting product is increased understanding. 6. Data Dashboard as Evaluation and Research Communication Tool 21 Veronica S. Smith This chapter introduces evaluators to data dashboards, which are visual displays that feature the most important information needed to achieve specific goals captured on a single screen. This chapter will highlight keys to realizing the potential of data dashboards by describing appropriate use and effective practices for designing and creating these tools. 7. Graphic Recording 47 Jara Dean-Coffey This chapter explores graphic recording, which is a visualization process that captures the themes and ideas emerging from group discussions.The chapter provides information on what the graphic recording process can look like and how it can fit into evaluation practice. 8. Mapping Data, Geographic Information Systems 69 Tarek Azzam This chapter offers an introduction to geographic information systems (GIS) and provides examples of how this approach to data visualization can help evaluators better understand the context in which they are working, conduct a deeper analysis of the data, and communicate using maps to illustrate important findings and patterns. INDEX 85
Zusammenfassung
This issue delivers concrete suggestions for optimally using data visualization in evaluation, as well as suggestions for best practices in data visualization design. It focuses on specific quantitative and qualitative data visualization approaches that include data dashboards, graphic recording, and geographic information systems (GIS).
