Discussion Post: Displaying Data
Visual displays of data provide you and anyone else with a graphical display of what is often a complex array of quantitative data. A key strength of visualization is the ability to quickly enlighten you with key data. Rather than solely relying on your audience to interpret numerical values and statistics explained in a narrative, a visual display can easily illustrate descriptions, relationships, and trends. Although the focus is on simplicity, the researcher has an obligation to present these graphical displays in a clear and meaningful way.
For this Discussion, you will explore ways to appropriately display data.
To prepare for this Discussion:
1) Review the Learning Resources for this week related to frequency distributions and graphic displays of data.
2) Using the SPSS software, open the General Social Survey dataset found in this week's Learning Resources.
3) Next, create a figure or table from a few selected variables within the dataset.
4) Finally, think about what is good about how the data are displayed in the figure or table you created and what is not so good.
The response must include a reference list. Using Times New Roman 12 pnt font, double-space, one-inch margins, and APA style of writing and citations.
Reference
• Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.
o Chapter 2, "The Organization and Graphic Presentation Data" (pp. 27-74)
• Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
o Chapter 5, "Charts and Graphs"
o Chapter 11, "Editing Output"