Correspondence Analysis and Multidimensional Scaling w/ IBM SPSS Categories SPVCIBM
Preis auf Anfrage
Häufig gestellte Fragen
You should have 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.
Was lernen Sie in diesem Kurs?
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.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
Training Paths that reference this course are:
- SPSS Statistics – Data Analyst 1
Please refer to course overview for description information.