Measures of Association as Additional Statistics

• How powerful is the association between your categories?
  
  
• Are they really good predictors?
  
  
• This is similar to evaluating the magnitude of an r² (r = Pearson's correlation coefficient) where as the value approaches 1.0, you achieve better and better prediction.
  
  
• There are different measures of association (as these statistics are called) depending on the type of data that you have.
  
  
• Data type refers to the classic distinctions: