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Correspondence Analysis and Multidimensional Scaling Using PASW Statistics

Course description:

This course will focus on how to perform Correspondence Analysis and Multi-Dimensional Scaling using procedures in the PASW Categories add-on module in PASW 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.

US Customers - Select this link to begin course registration
Canadian Customers - Select this link to begin course registration

Please note: If you are paying by Check or PO, you will need to download the Public Training or the Academic Training registration form and fax or mail the completed form to SPSS along with your payment.

Subscribers: If you are a Training Subscriber please select "Call Me" as the payment type when preregistering for this course. You will be contacted by a sales representative to verify your subscription — otherwise you will be invoiced for the training.

Duration and Cost:

Costs are for United States courses only. Information about other countries can be found at the worldwide offices page.

Who Should Attend:

If you are a PASW 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.

Prerequisite:

Experience with PASW Statistics or SPSS Statistics or completion of the “Introduction to PASW Statistics (Basics)” course. Basic statistical knowledge or at least one college level course in statistics is helpful.

Course Content:

The full table of contents for this course is available.