IBM: Data Management and Manipulation with IBM SPSS Statistics SPVC
Your SPSS processing becomes more consistent when data and files are well organised. With IBM SPSS, structure information preparation and exploration to interpret results more effectively. Develop an analytical practice that helps you support your conclusions and identify the limits of the methods.
- Duration
- 2 days 14 hours
- Code
- OG527 Code
Presentation
This IBM SPSS Statistics course focuses on using numerous transformation techniques to modify data values, manipulate data files and results, automate work and export results to other application file formats.
Objectives
By the end of this course, you will have:
- An understanding of the different options for controlling the IBM SPSS Statistics operating environment.
- The ability to use basic syntax to perform data transformations efficiently.
Program
Useful data management functions
- Read data using options available in the Database Wizard.
- Compare datasets.
- Sort variables by any attribute and customise the display of variable attributes.
- Generate variable attribute information for variables in a data file.
- Create and use variable sets.
Transformations: computing with date and time variables
- Learn how dates and times are represented in IBM SPSS Statistics.
- Create a date or time variable.
- Distinguish date and time functions in the variable dialog box.
- Explain default options for date variables with a 2-digit year.
- Use and understand the Date and Time Wizard.
Transformations: computing with numeric data
- Use the variable dialog box to create new variables and transform data.
- Use functions to perform transformations.
- Create and add additional variable attributes.
Additional data transformations
- Use Automatic Recode to easily recode string variables into numeric variables.
- Use the Count Values transformation to count values across variables.
Restructuring data and identifying duplicate cases
- Use IBM SPSS Statistics dialog box features.
- Recognise when data restructuring is necessary.
- Identify duplicate cases.
- Use the Data Restructure Wizard features.
Merging files: adding variables
- Describe the difference between one-to-one and one-to-many matching.
- Describe and use Add Variables dialog box features.
- Check whether files have been successfully matched.
- Merge data files without sorting them beforehand.
Merging files: adding cases
- Describe and use Add Cases dialog box features.
- Explain variable formats so files can be appended.
- Handle variables with different names in files to be appended.
- Check whether files have been successfully appended.
Analysing multiple-response questions
- Explain how multiple-response questions are coded in a data file.
- Explain multiple-response sets in IBM SPSS Statistics.
- Use multiple-response Crosstabs and Frequencies procedures.
Using charts
- Use Chart Editor features.
- Create and apply custom chart templates by modifying graphical aspects using Chart Editor options.
Aggregating data
- Describe the features of the Aggregate Data procedure.
- Create several summaries from a variable.
- Create a new data file with aggregated results.
- Add aggregated results to the original data file.
Controlling the IBM SPSS Statistics environment
- Reset the variable display.
- Describe Options dialog box features.
- Explain default working data folders.
- Change transformation options for variables.
Introduction to the output management system
- Describe Output Management System capabilities.
- Describe and use OMS Control Panel features.
- Use the Output Management System to exclude items from the IBM SPSS Statistics Viewer.
- Use the Output Management System to export pivot tables to other applications.
Automating IBM SPSS Statistics
- Describe and use Syntax Editor features.
- Make simple syntax changes.
- Describe and use Production Facility dialog box features.
- Run a simple production job.
- Describe the use of external programming languages with IBM SPSS Statistics.
Audience
This course is intended for:
- Anyone working with IBM SPSS Statistics who wants to explore its management features and additional data manipulation capabilities to improve their overall effectiveness.
- Anyone who has learned the basic operations of IBM SPSS Statistics.
Prerequisites
The following are recommended:
- General computer knowledge.
- Completion of Introduction to IBM SPSS Statistics, or experience with IBM SPSS Statistics.
- In particular, basic use of Recode and Compute transformations, familiarity with defining data, and creating charts.
No statistical knowledge is required.
Teaching and assessment methods
- Initial skills assessment
- Training materials provided to participants
- Continuous assessment throughout the course
- End-of-course feedback questionnaire
- Combination of theory and practical application
- Attendance records
- Post-course follow-up evaluation
Dates and sessions
Choose the date and delivery format that suit you.
No upcoming sessions are currently available.
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