Course description: IBM SPSS Data Collection Scripting (Intro to Data Management) - ILO

NOTE: This is a live, instructor-led online course. Do not make arrangements to travel.

IBM SPSS Education is pleased to offer you our courses in an exciting learning format, Instructor-led Online (ILO). Students are offered a similar experience to live classroom training, with the convenience of having it delivered directly to their desktop.

This 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.

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Training Paths that reference this course are:

• IBM SPSS Data Collection: Managing Data Role: Operations

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IBM Education Advantage Program Eligibility:

• Yes - Education Pack - online account

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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.

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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.

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Please refer to course overview.

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• 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

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