NDLI: Increasing the utility of quantitative empirical studies for meta-analysis

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Increasing the utility of quantitative empirical studies for meta-analysis

Content Provider	ACM Digital Library
Author	Munzner, Tamara Lam, Heidi
Abstract	Despite the long history and consistent use of quantitative empirical methods to evaluate information visualization techniques and systems, our understanding of interface use remains incomplete. While there are inherent limitations to the method, such as the choice of task and data, we believe the utility of study results can be enhanced if they were amenable to meta-analysis. Based on our experience in extracting design guidelines from existing quantitative studies, we recommend improvements to both study design and reporting to promote meta-analysis: (1) Use comparable interfaces in terms of visual elements, information content and amount displayed, levels of data organization displayed, and interaction complexity; (2) Capture usage patterns in addition to overall performance measurements to better identify design tradeoffs; (3) Isolate and study interface factors instead of overall interface performance; and (4) Report more study details, either within the publications, or as supplementary materials.
Starting Page	1
Ending Page	7
Page Count	7
File Format	PDF
ISBN	9781605580166
DOI	10.1145/1377966.1377969
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-04-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Information visualization evaluation Meta-analysis
Content Type	Text
Resource Type	Article

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