Imagine you are walking into a cave and traveling further and further inward, where no light can reach the inner most spaces. Suddenly, light illuminates your path and you begin to see a series of rooms, natural springs, and a variety of cave paintings on the walls and ceilings. As you observe the paintings, you realize the story told by people from years past, depicting a way of life through a visual display of images.<\/p>\n
Even long ago, visual displays were used to communicate thoughts and ideas to others. Sometimes, just as in the visual displays on cave walls, pictures are the best way to tell a \u201cstory\u201d where narrative words may not be sufficient. It still remains true today that \u201cgraphics are one of the most important aspects of data analysis because they allow us to visualize the data and the patterns in the data\u201d (Dietz & Kalof, 2009, p. 66). Such is the case in statistics, where displaying data is critical.<\/p>\n
In this week, you will examine the different ways to display data and understand why visually presenting data can illustrate the \u201cstory\u201d of the data. You also will begin to create your own visual displays of data to further your knowledge and skill set.<\/p>\n
Discussion: Displaying Data
\nVisual 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. Visual displays were used to transmit thoughts and ideas to others as far back as the ancient world. In some cases, such as the visual displays on cave walls, photographs are the most effective means of telling a “story” when narrative words are insufficient to convey the message. Although this statement was made decades ago, it is still valid today: “Graphics are one of the most significant components of data analysis because they allow us to visualise the data as well as the patterns within the data” (Dietz & Kalof, 2009, p. 66). This is especially true in statistics, where the ability to display data is crucial.<\/p>\n
This week, you will learn about the various types of data visualisations and why graphically presenting data can help to tell the “narrative” of the information. You will also begin to develop your own visual displays of data to help you learn more and improve your skills.<\/p>\n
For this Discussion, you will explore ways to appropriately display data.<\/p>\n
To prepare for this Discussion:<\/p>\n
Review the Learning Resources for this week related to frequency distributions and graphic displays of data.
\nUsing the SPSS software, open the General Social Survey dataset found in this week\u2019s Learning Resources.
\nNext, create a figure or table from a few selected variables within the dataset.
\nFinally, think about what is good about how the data are displayed in the figure or table you created and what is not so good.
\nBy Day 3
\nPost your display of the table or figure you created and provide an explanation of why this would be the best way to display the data provided.<\/p>\n
Be sure to support your Main Post and Response Post with reference to the week\u2019s Learning Resources and other scholarly evidence in APA Style.<\/p>\n
Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.<\/p>\n
\u00b7 Chapter 2, \u201cThe Organization and Graphic Presentation Data\u201d (pp. 23-62)<\/p>\n
Wagner, W. E. (2016). Using IBM\u00ae SPSS\u00ae statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.<\/p>\n
\u00b7 Chapter 5, \u201cCharts and Graphs\u201d<\/p>\n
Wagner, W. E. (2016). Using IBM\u00ae SPSS\u00ae statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.<\/p>\n
\u00b7 Chapter 11, \u201cEditing Output\u201d<\/p>\n
Walden University Writing Center. (n.d.). General guidance on data displays. Retrieved from http:\/\/waldenwritingcenter.blogspot.com\/2013\/02\/general-guidance-on-data-displays.html<\/p>\n
Use this website to guide you as you provide appropriate APA formatting and citations for data displays.<\/p>\n
Datasets<\/p>\n
Document: Data Set 2014 General Social Survey (dataset file)<\/p>\n
Use this dataset to complete this week\u2019s Discussion.<\/p>\n
Note: You will need the SPSS software to open this dataset.<\/p>\n
Document: Data Set Afrobarometer (dataset file)<\/p>\n
Use this dataset to complete this week\u2019s Assignment.<\/p>\n
Note: You will need the SPSS software to open this dataset.<\/p>\n
Document: High School Longitudinal Study 2009 Dataset (dataset file)<\/p>\n
Use this dataset to complete this week\u2019s Assignment.<\/p>\n
Note: You will need the SPSS software to open this dataset.<\/p>\n
Required Media<\/p>\n
Laureate Education (Producer). (2016j). Visual displays of data [Video file]. Baltimore, MD: Author.<\/p>\n
Discussion:<\/p>\n","protected":false},"excerpt":{"rendered":"
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