Stats #43: Guidelines for Good Graphics

Content: A good graph must convey statistical information quickly and efficiently. Recent research in perception has identified certain graphic principles that simplify the task of visual discrimination. This talk will discuss these principles as they apply to choices such as the size of a graph, the use of color, and the coding of subgroups. Examples of a wide variety of graphs will be shown, based on real data, and using SPSS and two other statistical packages. The handout I will use for this class is in Microsoft Word format. I hope to convert it to html soon. Please bring a copy of a research paper with you to class.

Teaching strategies: Didactic lectures and small group exercises.

Objectives: In this class, you will learn how to:

This class does not qualify for IRB Education Credits (IRBECs).

Contents


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[Other handouts]


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