It is true that weighting adjustment is not alchemy, capable of rendering any group of respondents representative of their target population. That being said, effective weighting and calibration adjustments are critical to improving representation and external validity of survey results that otherwise would be destabilized by differential nonresponse and coverage problems.
Such corrective adjustments are particularly important for online surveys that rely on opt-in panels, since the resulting samples are subject to increased representational inefficiencies . Our survey research statisticians are recognized for their effective approaches to weighting survey data from probability samples. More notably, they have developed cutting-edge calibration solutions for samples from opt-in panels that can help respondents of a sample speak for the target population they were meant to represent.