When you’re looking for a statistical weighting procedure or application, it is very important to remember that the key to a balanced and representative sample is controlling for known biases in comparison with the target population.
From all the different statistical procedures that exist today, such as rim weighting, propensity weighting, cell weighting it is safe to say that iterative proportional fitting – aka ranking – is the method most used by researchers.
Our tool at wwww.sampleweighting.com uses this method too, since it’s a very flexible and easy-to-use method that allows for multiple variables. You can include these in your weighting scheme to control the match of your sample with the target population.
