1. The most important factors to consider when trying to decide how you will display information obtained from a research project are: to decide which of the graphical display would present the information the best and how many would be enough. According to Few (2015) states “as the saying goes a picture is worth a thousand words.” Graphic display of abstract information has two purposes Making sense of the information and communication (Few, 2015). Graphics such as tables, graphs and pictures enhance the work and keep the readers interested in the article and its content. The author needs to be careful not to do too many graphics as it will also take away from their research.
2. The article located at the library was “Effects of Mode and Order of Administration on Generic Health-Related Quality of Life Scores” written by Hayes, R., Kim, S., Spritzer, K., Kaplan, R., Tally, S., Feeny, D., Liu, H., & Fryback, D. located at:
http://ac.els-cdn.com/S1098301510603051/1-s2.0-S1098301510603051-main.pdf?_tid=b21d78f4-e13b-11e5-a7b9
00000aab0f27&acdnat=1457008401_71df083e77d6675aa0af7d6da8a54f86
The article was affective in the way the data was displayed. The article started with the abstract, introduction, and method. Then when the analysis was done they provided a table on the population of the study “respondent characteristics by randomized order of administration” (Hayes, et. al. 2009). The results provided the correlations with the second table “Correlations of health-related quality of life scores between mail and telephone modes of administration” (Hayes, et. al. 2009). The discussion provides two tables
“Adjusted mean health-related quality of life scores by mode and order of administration” (Hayes, et. al. 2009) is the first table and “Maximum difference in health-related quality of life scores for mode by order” (Hayes, et. al. 2009). Although they provided some tables additional graphics could have also been done in graphs which would also help to understand the results better.
- Few, S. (2015) Data Visualization for Human Perception, Interaction Design Foundation, retrieved from https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed/data-visualization-for-human-perception
- Hayes, R., Kim, S., Spritzer, K., Kaplan, R., Tally, S., Feeny, D., Liu, H., & Fryback, D. (2009) Effects of Mode and Order of Administration on Generic Health-Related Quality of Life Scores, Value of Health,Vol. 12, Issue 6, Pages 1035–1039
