Presenting Outcomes Data Clearly and Effectively

This webinar, from 6/1/2011, features Paul Chandler, volunteer data analyst with ASTT in Baltimore, Maryland.

This webinar is part of the National Capacity Building (NCB) webinar series. NCB is a project of the Center for Victims of Torture.

Rating: 

Average: 3 (2 votes)

Date: 

Wednesday, 01 June 2011

Presenter

Paul Chandler, Volunteer Data Analyst, ASTT, Baltimore Maryland

Please contact Paul if you would like to discuss these topics or if you would like additional examples. You can reach him via email at: pc@astt.org or pchandler@ubalt.edu

Excel file with examples

To supplement the information provided during this webinar, attached is an Excel spreadsheet of sample graph templates. Please note that these graphs do not contain actual data; these are merely sample templates, to show different ways to depict data. The sample data and content of the graphs should be modified or adapted to fit your own uses.

Please note that the first sheet in this file lists all of the sample data; the subsequent sheets pull their data from the first sheet. Please note that most sheets include more than one graph.

This spreadsheet includes all the graphs that were discussed during the webinar and a few additional examples, based on the question and answer session. The following graphs were added: - an example showing two pie charts for data collected at two points in time.

  • an example for HTQ-30 data, showing data collected at five points in time.
  • an example showing the correlation between two variables (including a sample trendline).
  • a line graph showing data for two variables collected over time.

References

Hay, I., Bochner, D. & Dungey, C., Making the Grade: a Guide to successful communication and study. 2nd ed., Oxford University Press. (2002).

Edward Frees & Robert Miller, Designing Effective Graphs, North American Actuarial Journal, Vol. 2, Num. 2, (1998).

Larry Gonick, The Cartoon Guide to Statistics, Collins Reference, (1990).

Darrell Huff and Irving Geis, How to Lie with Statistics, WW Norton & Co., New York. (1993).

Attachment(s): 

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