用(更好的)图形传达测量结果

IF 2.7 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Educational Measurement-Issues and Practice Pub Date : 2022-06-15 DOI:10.1111/emip.12519
J. Carl Setzer, Zhongmin Cui
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引用次数: 1

摘要

数据可视化是传达测量研究和结果的核心原则。测量专业人员在研究的各个阶段利用数据可视化,包括探索和交流。然而,数据可视化在测量领域并没有得到足够的重视。虽然确实有许多测量图形是相对标准的,但也有许多图形不是标准的,并且在测量期刊中可以看到各种各样的可视化质量和有效性。本文概述了测量中的当前数据可视化趋势,并通过示例提供了一些有效数据可视化的一般技巧。本文不是关于数据可视化的全面论述。因此,我们提供了一些额外阅读的资源。最后,我们呼吁测量界更加关注数据可视化的细节。我们还呼吁测量培训计划通过数据可视化来强调统计推理。
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Communicating Measurement Outcomes with (Better) Graphics

Data visualization is a core tenet of communicating measurement research and outcomes. Measurement professionals utilize data visualization in various phases of research, including exploration and communication. However, data visualization has not received enough attention in the measurement field. While it is true that many measurement graphics are relatively standard, many others are not and there is a wide variety of visualization quality and effectiveness seen in measurement journals. This article provides an overview of the current data visualization trends in measurement and provides some general tips for effective data visualization, with examples. This article is not a comprehensive treatise on data visualization. Therefore, we provide some resources for additional reading. Finally, we call on the measurement community to pay greater attention to the details of data visualization. We also call on measurement training programs to emphasize statistical reasoning through data visualization.

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来源期刊
CiteScore
3.90
自引率
15.00%
发文量
47
期刊最新文献
Issue Information Editorial Issue Cover On the Cover: Gendered Trajectories of Digital Literacy Development: Insights from a Longitudinal Cohort Study Digital Module 36: Applying Intersectionality Theory to Educational Measurement
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