Kurs informasjon: IBM SPSS Data Collection Scripting (Intro to Data Management) SPVC

PLEASE DO NOT MAKE TRAVEL ARRANGEMENT FOR THIS SELF PACED VIRTUAL COURSE (SPVC). ONCE YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT.

After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. You will then have a 30 day window in which to complete your course. Within this 30 days, you will have 336 hours of elab time. The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day, but lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Once you have accessed the course, help is available Monday through Friday; questions will be responded to within 24 hours.

NO EXTENSIONS FOR THIS COURSE WILL BE GRANTED.

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.

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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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