Detailed Course Outline
1. Helpful data management features • Read from a database using the Database Wizard • Customize variable attributes • Compare datasets • Use Variable Sets • Rename datasets
2. Use functions to cleanse and enrich data • Identify the need to cleanse and enrich data • Identify the general form of a function • Use statistical functions • Use logical functions • Use missing value functions • Use conversion functions • Use system variables
3. Additional transformations for data preparation • Use Automatic Recode to recode string variables into numeric variables • Use Count Values within Cases to count values across variables
4. Set the unit of analysis • Remove duplicate cases • Create aggregated datasets • Restructure datasets
5. Merge data files • Add cases from one dataset to another • Add variables from one dataset to another • Enrich a dataset with aggregated information
6. Analyze multiple response questions • Describe the two ways to encode a multiple response set • Define multiple response sets • Use the Multiple Response Frequencies and Crosstabs procedures
7. Customize tables and charts • Use the features of the Pivot Table Editor • Create and apply customized TableLooks • Use the features of the Chart Editor • Create and apply customized Chart Templates
8. Introduction to the Output Management System • Explain Output Types • Specify an OMS request to suppress output • Specify an OMS request to export output
9. Automate analyses • Describe and use the features of the Syntax Editor • Make simple changes to syntax • Describe and use the features of the Production Facility dialog box • Run a simple production job • Describe the use of external programming languages with IBM SPSS Statistics
10. Control the IBM SPSS Statistics environment • Describe the features of the Options dialog box • Set the display of variables • Set the default working data folders • Change transformation options for variables