Data Management and Manipulation Using IBM SPSS Statistics is a course on the use of a wide range of transformation techniques, ways to automate data preparation work, manipulate data files and analytical results. Students will gain an understanding of the various options for controlling the IBM SPSS Statistics operating environment and how to perform data transformations efficiently. This course uses the IBM SPSS Statistics Base features.
Anyone who has worked with IBM SPSS Statistics and wants to explore additional data management and manipulation features of IBM SPSS Statistics and generally increase their efficiency with IBM SPSS Statistics.
Anyone who has learned the basic operations of IBM SPSS Statistics on their own.
Please refer to course overview
General computer literacy
Completion of the Introduction to IBM SPSS Statistics course or experience with IBM SPSS Statistics (Version 18 or later) including familiarity with defining data, basic uses of Recode and Compute transformations, the Frequencies, Descriptives, and Crosstabs procedures, and creating and editing tables and charts. No statistical background is necessary.
1. Helpful data management features
Read from a database using the Database Wizard
Customize variable attributes
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
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.
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