Multivariate Exploratory Techniques

• Cluster Analysis Overview
  
• Factor Analysis Overview
  
• Principal Components and Classification Analysis Overview
  
• Canonical Analysis Overview
  Canonical correlation is an additional procedure for assessing the relationship between variables.
• Reliability and Item Analysis Overview
  
• Classification Trees Overview
  
• Correspondence Analysis Overview
  Correspondence analysis is a descriptive/exploratory technique designed to analyze simple two-way and multi-way tables containing some measure of correspondence between the rows and columns.
• Multidimensional Scaling Overview
  In general, the goal of the analysis is to detect meaningful underlying dimensions that allow the researcher to explain observed similarities or dissimilarities (distances) between the investigated objects.
• Discriminant Function Analysis Overview
  
• General Discriminant Analysis Models Overview
  

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