Presenting and Explaining Data

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Franklin University *

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715

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Statistics

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Feb 20, 2024

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docx

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Uploaded by leespencer131

Presenting and Explaining Data Figure 1. (Retting et al., 1999) An explanation of what the study data reveals: A group of researchers from the Insurance Institute for Highway Safety developed a study to evaluate red light camera enforcement in Oxnard, CA. Researchers did a quasi-experiment at 14 intersections aimed at looking at the ongoing community problem of people running red lights and crashes. Nine camera sites, three non-camera sites, and two control sites were studied (Retting et al., 1999). Researchers studied this experiment by looking at the number of violations, how well drivers followed the rules, intersections with cameras vs. intersections without cameras, and public polls (Retting et al., 1999). People who knew about the red-light camera use were asked in public opinion polls six weeks before the enforcement program started, six weeks into the enforcement program, and six months into the enforcement program if they were for or against using cameras to help police catch people running red lights in Oxnard. The results are shown in Table 5 in Figure 1.

Red Light Camera Enforcement 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Factor Strongly favor Somewhat favor Oppose Somewhat oppose Strongly oppose Don’t know Public Opinion Survey "People Who Knew About Camera Use" 6 weeks before (N=349) 6 weeks after (N=252) 6 months after (N=255) Among respondents who knew about red light camera use: ‘Do you favor or oppose the use of cameras to enforce against red light running in Oxnard, as a supplement to police

Explanation: Even though the data remains unchanged, the visual representation enhances the clarity and understanding of the similarities and differences. The objective of this visual representation of the data is to provide the audience with a more informative and engaging visual summary, as opposed to the initial table which consisted of a collection of numbers. The altered data is depicted in a simplified visual format that is not overly complex, includes text that enhances information recall and retention, and eliminates unnecessary colors to prevent visual distractions (Evergreen & Metzner, 2013). Reference Retting, R. A., Williams, A. F., Farmer, C. M., & Feldman, A. F. (1999, May). Evaluation of red light camera enforcement in Oxnard, California. Accident Analysis & Prevention , 31 (3), 169–174. https://doi.org/10.1016/s0001-4575(98)00059-1 Evergreen, S., & Metzner, C. (2013, December). Design Principles for Data Visualization in Evaluation. New Directions for Evaluation , 2013 (140), 5–20. https://doi.org/10.1002/ev.20071 Replies I really like this graph. I like the 3D detail and I like that the actual percentages or on top of each bar. In my own opinion, the only thing I would add is the survey question at the top of the graph like Peyton and Bryant did on theirs.

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