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Data Visualization, Part 1: New Directions for Evaluation, Number 139



Data Visualization, Part 1: New Directions for Evaluation, Number 139

Tarek Azzam (Editor), Stephanie Evergreen (Editor)

ISBN: 978-1-118-79341-1 October 2013 Jossey-Bass 96 Pages


Do you communicate data and information to stakeholders? This issue is Part 1 of a two-part series on data visualization and evaluation. In Part 1, we introduce recent developments in the quantitative and qualitative data visualization field and provide a historical perspective on data visualization, its potential role in evaluation practice, and future directions. It discusses:
  • Quantitative visualization methods such as tree maps
  • Sparklines
  • Web-based interactive visualization
  • Different types of qualitative data visualizations, along
    with examples in various evaluation contexts
  • A toolography describing additional data visualization tools
    and software, along with their major strengths and limitations.

Intended as a guidance for understanding and designing data visualizations, this issue introduces fundamental concepts and links them to daily practice.

This is the 139th volume of the Jossey-Bass quarterly report series New Directions for Evaluation, an official publication of the American Evaluation Association.

Tarek Azzam, Stephanie Evergreen

1. Data Visualization and Evaluation 7
Tarek Azzam, Stephanie Evergreen, Amy A. Germuth, Susan J. Kistler

This chapter elaborates on the definition of data visualization, highlights its historical development, and outlines future trends in data visualization and the potential influence these trends will have on evaluation

2. Developments in Quantitative Data Display and Their 33
Implications for Evaluation Christopher Lysy

This chapter introduces evaluators to newer quantitative display types that have gained popularity over the last decade, and presents new functionalities, made possible by the Web, and discusses how these features can be used to increase the amount of data presented while maintaining visual simplicity.

3. Visualizing Qualitative Data in Evaluation Research 53
Stuart Henderson, Eden H. Segal

This chapter introduces data visualization techniques for qualitative data, and describes a conceptual framework for understanding the different types of qualitative data visualizations before providing examples of visualizations in various evaluation contexts.

4. Toolography 73
Susan J. Kistler, Stephanie Evergreen, Tarek Azzam

This chapter offers descriptions of a selection of the tools mentioned in the volume, as well as others in use in the field, and provides readers with a general estimate of their ease of use, whether free or not, and strengths/weaknesses.