Correspondence Analysis and Multidimensional Scaling with IBM SPSS Categories

( Duration: 1 Day )

The Correspondence Analysis and Multidimensional Scaling with IBM SPSS Categories 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. The course will discuss 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.

  • Experience with IBM SPSS Statistics or SPSS Statistics
  • Basic statistical knowledge

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 Correspondence Analysis and Multidimensional Scaling with IBM SPSS Categories workshop will be of interest to you.



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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Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.