Kurs informasjon: Correspondence Analysis and Multidimensional Scaling w/ IBM SPSS Categories 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 "Correspondence Analysis and Multidimensional Scaling w/ IBM SPSS Categories" classroom course. This self paced training course will focus on how to perform Correspondence Analysis and Multi-Dimensional Scaling using procedures in the IBM SPSS Categories add-on module in IBM SPSS Statistics. Learn how to use correspondence analysis to examine the relationship of categorical data and display these relationships on perceptual maps. Learn about multidimensional scaling and preference scaling techniques to examine similarities and dissimilarities among objects such as product brands and features and customer preferences. These techniques are useful in any circumstance where you need to analyze and display graphically the correspondence among categorical data. This self paced training course will review the basic logic of these techniques, how to setup the analysis and examine the results using a variety of usage examples and hands-on exercises.

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If you are a IBM SPSS Statistics (formerly SPSS Statistics) user in any application field who wants to learn more about Correspondence analysis, and Multidimensional Scaling, this course will be of interest to you.

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Experience with IBM SPSS Statistics or SPSS Statistics or completion of the Introduction to IBM SPSS Statistics (Intermediates) course. Intermediate statistical knowledge or at least one college level course in statistics is helpful.

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Please refer to course overview for description information.

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• Introduction to Correspondence Analysis and Perceptual Mapping
• Simple Correspondence Analysis of Counts
  • Analyzing a Summary Table
  • Adding Supplementary Categories
• Multiple Correspondence Analysis
• Means-based Perceptual Maps
• Introduction to Multidimensional Scaling
• Individual Differences Multidimensional Scaling
• Analysis of Preferences: Unfolding Models

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