Display of Quantitative Information: Are Grables better than Plain Graphs or Tables?

Author:

Hink Jessica K.1,Wogalter Michael S.1,Eustace Jason K.2

Affiliation:

1. North Carolina State University Raleigh, NC 27695-7801

2. American University Washington, DC 20016-8019

Abstract

Previous research is equivocal on the most efficient, effective methods for displaying quantitative information in tables and graphs. Guidelines suggest different display types are more appropriate for certain purposes but not others. However, there is little empirical evidence to support the recommendations. This study examines several methods of displaying quantitative information (e.g., line graphs, bar charts, tables) factorially crossed with different kinds of data extraction questions (i.e., inquiries about trends, comparisons, and exact numerical quantities). Results showed that tables, bar grables (combined bar graph and table) and line grables produced the most accurate responses, and line graphs and bar charts produced the fastest responses across question types. Results are discussed with respect to prior theoretical work and the potential benefits of hybrid forms of quantitative data displays for multiple kinds of data extraction inquiries.

Publisher

SAGE Publications

Subject

General Medicine,General Chemistry

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reasoning Affordances with Tables and Bar Charts;IEEE Transactions on Visualization and Computer Graphics;2023

2. Merging Graphics and Text to Better Convey Experimental Results: Designing an “Enhanced Bar Graph”;PS: Political Science & Politics;2017-06-12

3. Speaking Stata: Multiple bar Charts in Table form;The Stata Journal: Promoting communications on statistics and Stata;2016-06

4. A course in constructing effective displays of data for pharmaceutical research personnel;Pharmaceutical Statistics;2013-04-08

5. Grables: Visual Displays That Combine the Best Attributes of Graphs and Tables;A Picture is Worth a Thousand Tables;2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3