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Research Conference Help (URC & GRC)
Tips and resources to help you create an effective research poster and prepare to give an oral presentation at the URC or GRC
In the new version, it was important for us to incorporate (1) the overall nature of the data, which drives the kind of story you can tell, (2) account for whether, in your analysis, you want to quantify the qualitative data or keep it purely qualitative, and (3) whether you want to highlight a word/phrase or display some kind of thematic analysis.
When they’re used well, graphs can help us intuitively grasp complex data. But as visual software has enabled more usage of graphs throughout all media, it has also made them easier to use in a careless or dishonest way — and as it turns out, there are plenty of ways graphs can mislead and outright manipulate.
In statistics, a misleading graph, also known as a distorted graph, is a graph that misrepresents data, constituting a misuse of statistics and with the result that an incorrect conclusion may be derived from it.
Examples of visualized secondary data from Statista:
Kaiser Family Foundation. (February 26, 2021). Percentage of U.S. adults who would get vaccinated against COVID-19 if a FDA approved vaccine is available for free December 2020 to February 2021 [Graph]. In Statista. Retrieved March 30, 2021, from https://www-statista-com.unh.idm.oclc.org/statistics/1200296/covid-vaccination-willingness-among-us-adults/