Discriminant Analysis

Discriminant and logistic regression analysis are statistical techniques that point out the differences between two or more groups based on several characteristics (most often rating scales when discriminant analysis, while logistic regression can handle any type of variable).

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Logistic regression and discriminant analysis

Logistic Regression and Discriminant Analysis explain why respondents belong to a certain group, plus it classifies new respondents based on their ratings. e.g. why are people very satisfied (i.e. gave a score 9 or 10 on a 1-10 point scale) with a product versus the rest of the market? It is often used:

  • To determine which customers are likely to buy a company's product
  • To decide whether a bank should offer a loan to a new company or
  • To identify patients which may be at high risk for medical problems
Logistic Regression

 

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B2B had to be very flexible and adapt fast while working with us. The execution in different markets is not easy to do as well as gathering all the necessary information. With their report we went further than the normal/expected reporting of qualitative research. My internal customers are also very happy with the work carried out by B2B International.

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