This video course consists of step-by-step software demonstrations geared to familiarize new users of IBM SPSS Statistics with this software. The first section focuses on what IBM SPSS Statistics is, on what it does, who uses it, and how it is used. The section then introduces new users to the IBM SPSS Statistics user interface so they can become familiar with the windows, menus, and dialog boxes that are part of the software. Finally, the first section discusses the steps to analyzing data and some of the typical analyses users might perform.

The second section focuses on summarizing individual variables. Specifically this section discuss some of the reasons users need to summarize variables, and which summary statistics are relevant given the type of data you are summarizing. This section also illustrates several procedures, such as the Frequencies and Descriptives procedures, which assist in providing summary statistics, and we will show how to obtain confidence intervals. Finally, the Chart Builder is introduced so that users can create pie charts, simple bar charts, and histograms.

The third and final section of this video course shows users how to perform and interpret the results of basic statistical analyses and graphical displays. Users will learn when to use different statistical techniques, how to set up different analyses, and how to interpret the results. The third section begins by introducing the idea of inferential statistics and hypothesis testing, and then moves on to discuss independent sample t-tests, crosstabs and chi-square tests, as well as correlations. In addition, visual displays are created so that users can better present their findings by showing error bar charts, bar charts with a mean, clustered bar charts, and scatterplots.

About the Author :

Jesus Salcedo has a Ph.D. in Psychometrics from Fordham University. He is an independent statistical consultant that has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users.

Keith McCormick is a career long practitioner of predictive analytics and data science. He has engaged in statistical modeling, data mining, and mentoring others in the area for more than 20 years. He has a particular expertise in helping organizations perform their first predictive analytics project or build their first predictive analytics practice, and has done so in a variety of industries including
healthcare, banking, telecommunications, non-profit, direct mail, pharmaceuticals, and retail. Keith is also an established author and
speaker with four books in print, or under contract. Although his consulting work is not restricted to any one tool, his writing and
speaking has made him particularly well known in the IBM SPSS Statistics and IBM SPSS Modeler communities.