Weighting to fix data problems

This webinar will show you how to weight survey data to make your studies more accurate.

Weighting is for situations where you have over or under-represented key groups in a survey.

For example, your sample might be 70% female, but it should be 50%. Or the survey shows a market share of 20%, when it should show 40%.

These problems can be fixed by weighting your data.

In this webinar you will learn

  • Use weighting to correct for over-and under-representation of key sub-groups.
  • Use both categorical and numeric variables in weights.
  • Check the quality of the resulting weights.
  • Specify minimum and maximum possible weights.