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Reasoning about categorical data : multiway plots as useful research tools

conference contribution
posted on 06.12.2017, 00:00 by R Layton, S Lord, Matthew OhlandMatthew Ohland
In this paper, we help our audience learn to create and interpret “multiway plots” - a powerful tool for exploring and presenting categorical data. We use eighth-semester undergraduate persistence data as a case study of how multiway plots are used, but do not explore a particular research question. Instead, our goal is to disseminate a powerful, yet underutilized, research tool that facilitates an iterative process of reasoning about one’s categorical data: design the display/reason about the data/redesign the display/reason about the data etc., until the logic of one’s display is consistent with the logic of one’s analysis. Our case study begins with familiar column graphs and bar graphs typically used in engineering education journals. We then show how the same information is transformed into a multiway plot. Each step in the transformation is illustrated and explained. The results are two very different visualizations of the same data: clustered-column or bar graph (“before”) and multiway plot (“after”). Specific elements of the before and after graphs are highlighted to let the reader experience the perceptual advantages and to assess the utility of multiway plots in drawing meaningful conclusions from categorical data. We also alert our audience to the technical issues involved in creating multiway plots including software resources. Through this work, we hope to raise the awareness of the engineering education community of the benefits of multiway plots for visualizing, exploring, and presenting categorical data. In doing so, we hope to contribute to the continued enhancement of research quality in our discipline.

History

Start Page

2371

End Page

2387

Number of Pages

17

Start Date

01/01/2009

ISBN-13

9781615676163

Location

Austin, Texas, USA

Publisher

American Society for Engineering Education

Place of Publication

Washington, DC, USA

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Not affiliated to a Research Institute; Purdue University; Rose-Hulman Institute of Technology; University of San Diego;

Era Eligible

Yes

Name of Conference

American Society for Engineering Education. Conference