Start learning with our library of video tutorials taught by experts. Get started
Viewed by members. in countries. members currently watching.
In this course, author Barton Poulson takes a practical, visual, and non-mathematical approach to the basics of statistical concepts and data analysis in SPSS, the statistical package for business, government, research, and academic organization. From importing spreadsheets to creating regression models to exporting presentation graphics, this course covers all the basics, with an emphasis on clarity, interpretation, communicability, and application.
In the previous movie, I showed you how to use SPSS's Chart Builder, its unified interface, for nearly every chart the program can make. And with it, we made a bar chart. In this example, I want to show you how to make another kind of categorical chart, the pie chart, that's a common choice for categorical variables. The procedure is very similar to that of bar charts; however, there are a couple of important differences. These have to do with the demands that pie charts place on the nature of the data. These are that the data must be exhaustive and mutually exclusive. What that is is exhaustive means that all the categories need to cover all of the possibilities and add up to 100%.
That may require that you create an Other response category or a No Response category. Mutually exclusive means that each person needs to fall into just one category. And while there are many situations where the condition of mutual exclusivity isn't a problem, for instance a person can be born in only one country, there are least as many situations where it doesn't work-- for instance, college attended, as many people have attended more than one. This can create a real limitation in the applicability of pie charts. Also, there is another issue in that bar charts are pretty easy to read, because you simply have to be able to judge the length of the height of a bar.
That's a linear measure. Pie charts generally require that a person be able to judge angles and areas, both of which are rather difficult. And so these are challenges for pie charts, the demands they place on the data of being exclusive and comprehensive, and also the interpretability. Nevertheless, they are very common choices, so I will show you how to do these quickly in SPSS. Like all of the other charts we are going to do, you want to start by going up to Graphs, to the Chart Builder. From there, on the Gallery list, come down to Pie. Click on that and just drag the pie up in into the canvas. From there I'm going to pick Genre and put that down right there, and then I can press OK.
Like in the basic bar chart, it's very colorful. You can see that the yellow slice is the largest of all--that's Drama--and that the purple is probably the next biggest, and the others are a little bit smaller. Now there are ways to customize the pie chart in SPSS, but given that I have think that pie charts are generally a little harder to read, I generally encourage you to try bar charts instead. But this is another common option for depicting the categorical variable in SPSS.
So creating a pie chart in SPSS is a simple affair, and it still gives a lot of options to control over how it looks. However, given the challenges of reading pie charts, and the restrictions they place on the data, you may want to consider using a bar chart instead. On the other hand, in your corporate culture, pie charts may be the lingua franca, they may be what's expected, and you may want to introduce some variety in your charts, so they can be a viable option in SPSS.
There are currently no FAQs about SPSS Statistics Essential Training.
Access exercise files from a button right under the course name.
Search within course videos and transcripts, and jump right to the results.
Remove icons showing you already watched videos if you want to start over.
Make the video wide, narrow, full-screen, or pop the player out of the page into its own window.
Click on text in the transcript to jump to that spot in the video. As the video plays, the relevant spot in the transcript will be highlighted.