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IBM SPSS Data Collection Scripting (Intro to Data Management) SPVC


Who should attend

This basic course is for scriptwriters who will be responsible for the data management of projects. In order words, taking initial datasets and surveys files and modifying the records appropriately.


There are no prerequisites for this course, although knowledge of the IBM SPSS Data Collection Author Professional product is a bonus. For students not familiar with the concept of object orientated languages, consider taking the self paced VBScript course tutorial associated with this course.

Product Description

This is the self paced training version of ´IBM SPSS Data Collection Scripting-Intro to Data Management´ classroom course. This self-paced training course covers the basics of Data Management scripting using IBM SPSS Data Collection Author Professional. The student utilizes IBM SPSS Data Collection tools to understand the survey structure and data association. Each lesson then builds on the fundamental requirements to manipulate survey and case data, while at the same time introducing best practices and recommended guidelines. Attendees will learn about each of the events that can be accessed during the data management process, building up to a definitive, all-encompassing solution at the end of the course.The survey and case data used during this course are the solutions to the IBM SPSS Data Collection Scripting (Survey Creation) Level I course, thereby providing a sense of continuity to students from both classes.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.



  • Lesson 1: Course Introduction
  • Lesson 2: Introduction to Data Management
  • Lesson 3: Survey files and data
  • Lesson 4: Simple Data Management script
  • Lesson 5: Options for reading data in and out
  • Lesson 6: Adding survey variables
  • Lesson 7: Actions prior to opening input data
  • Lesson 8: Actions after reading Input data
  • Lesson 9: Looping through records
  • Lesson 10: Actions prior to closing output data
  • Lesson 11: Actions after data output closed
  • Lesson 12: Resolving issues
  • Lesson 13: Course Summary
E-Learning IBM Self-Paced Virtual Class (SPVC)

Price on request


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