Max-Diff Scaling

Max-diff (also called best worst scaling) is a discrete choice model used to measure importance or preference in a list of several items (up to 30) such as service options, product features, marketing slogans, logos, etc.  Like conjoint analysis, it is based on comparative judgments and not numerical ratings which allows for greater discrimination between the items and the ability to scale based on importance.

Respondents are presented with several screens and asked to pick the most important and least important item on each screen:

Max-Diff

After selecting the most important and least important attribute, another scenario is presented with a similar mix of attributes:

Max-Diff2

Followed by another scenario:

Max-Diff3

The number of scenarios presented depends in part on the number of attributes being measured, but several combinations are typically presented.

Responses are typically analyzed using Hierarchical Bayes techniques to calculate importance scores.

One of the advantages of Max-diff scaling is that people are typically better at judging extremes as opposed to rating several items on scale.  Additionally advantages of Max-diff are:

  • It produces better differentiation than ranking or scaling does
  • It is more discriminating
  • It is a more sensitive measure than ranking or scaling
  • It eliminates straight-lining by respondents
  • It is a better predictor of actual behavior
  • It is simple

 Max-Diff Calculator

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: