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Analysis methods Print

We use those data analysis methods that are most appropriate in order to reach the defined project objectives, including the following statistical and data-mining techniques:

  • correlation analyses
  • Jaccard analyses
  • significance testing
  • regression analyses
  • discriminant analyses
  • factor analyses
  • cluster analyses
  • multidimensional scaling
  • decision tree analyses
However, these methods might not suffice or might not be appropriate for very specific questions. That is when Anovum would use special tools that were specifically designed for the analysis of survey data, such as: