This page demonstrates some of PSPP 's capabilities and the various ways it can be used. It's not intended to be a tutorial, or a substitute for the reference manual, but a brief demonstration of what PSPP can do. Note: This page is graphics heavy! Click on any of the images to see large scale versions.
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PSPP can read this format. This tutorial, written primarily for beginning students, describes the GUI version. The authors of this tutorial have used SPSS in their teaching and research, and continue to consider it extremely useful.
It has become increasingly so for undergraduate instruction as, over time, it has become much more user-friendly, so that even students with no background in statistical analysis can master it as part of a single introductory research methods or statistics course.
It has also added more and more features, notably including the ability to produce a wide range of graphs. Despite its many advantages, one thing that SPSS is not is free. This need not trouble you if you are a student at a college or university that has purchased a site license. Even if this is not the case, you can obtain a special version available only to faculty and students at a deep discount.
But still not free. Check Amazon. The GSS is a biannual national survey conducted by the National Opinion Research Center, and used for teaching and research in a variety of disciplines since A version that can be read by PSPP can be downloaded here. Note: The manuscript is available in MS Word. You can use your browser to download it.
Available in various formats. The GUI version of PSPP is perhaps most limited in its very minimal coverage of graphics, offering only pie charts, bar charts, histograms, and scatterplots, and these only with very few options. Fortunately, another package, also freely available, is Statistics Open for All SOFA , which includes much more extensive graphics capabilities. George Self has developed a comprehensive lab manual for this package. Designed for use by his own students, he has not as yet published it on the Internet.
He has, however, generously granted us permission to post it here on the site of the Cal State University Social Science Research and Instructional Center. Ed is the primary author of Chapters 2 through 5, and Chapter 8.
John is the primary author of Chapters 6 and 7.
PSPP for Beginners
PSPP is a tool for the statistical analysis of sampled data. You can use it to discover patterns in the data, to explain differences in one subset of data in terms of another subset and to find out whether certain beliefs about the data are justified. This chapter does not attempt to introduce the theory behind the statistical analysis, but it shows how such analysis can be performed using PSPP. For the purposes of this tutorial, it is assumed that you are using PSPP in its interactive mode from the command line. Whichever method you choose, the syntax is identical.