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Phillip S. Kott

RTI International



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126 – 126 - Interpreting Nonprobability Samples: Discoveries and Challenges

Creating Statistically-Defensible Calibrated Weights for a Blended Sample and Measuring the Accuracy of the Resulting Estimates

Sponsor:
Keywords: Selection model, Output model, calibration equation, double protection, logit function, WTADJX

Phillip S. Kott

RTI International

We show how calibration weighting can be employed to combine a probability and a nonprobability sample of the same population in a statistically-defensible manner. This is done by assuming the probability of a population element being included in the nonprobability sample can be modeled as a logit function of variables known for all members of both samples. Estimating these probabilities for the members of the nonprobability sample with a calibration equation and treating their inverses as quasi-probability weights is a key to creating composite weights for the blended sample. The WTADJX procedure in SUDAAN® is employed to generate those weights and then measure the standard errors or resulting estimated means and totals.

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