Propensity weighting and matching are methods used to check the quality of the representative sample. Propensity weighting involves weighing each case by the inverse of its probability of selection to mitigate the effects of selection bias. Matching involves pairing cases from a target sample and a representative sample to create a sample that more accurately reflects the target audience.