Section 1: An overview of IBM SPSS Statistics
Before we start using the software, we will look at how the technology is organised.
Section 2: Reading data files into SPSS
In this section of the course we will look at how we can import data from MS Excel, MS Access and text-based data files.
Section 3: Formatting SPSS files
How to correctly display the data, to identify special values (such as missing values) and to correctly format fields in accordance with their variable type.
Section 4: Summarising your data in SPSS
How to effectively summarise different kinds of variables within SPSS.
Section 5: Recoding variables in SPSS
How being able to transform a variable affords us greater flexibility and productivity when using SPSS Statistics.
Section 6: Analysing the relationships between variables
In this section, we’ll begin to look at techniques for analysing the relationships between variables.
Section 7: The compute and visual binning functions in SPSS
In this section, we return to the ‘Transform’ menu to see how we can enrich our analysis using two additional procedures.
Section 8: Working with charts in SPSS
In this section, we will turn our attention towards the graphics tools within SPSS Statistics and how we can use charts and visualizations to illustrate often complex relationships in a simple manner.
Section 9: Selecting cases and splitting files
In this section, we will look at two procedures that allow us to define a sub-group, using a rule referring to one or a combination of variables.
Section 10: Working with SPSS output
In this section, we will concentrate on the deployment and management of results.