Numbers, Facts and Trends Shaping Your World

Confronting 2016 and 2020 Polling Limitations

Appendix A: Standard ATP weighting

Protocols for weighting ATP surveys have evolved over the history of the ATP. The modifications have been gradual changes introduced over time, as opposed to sudden, dramatic shifts in the weighting approach. This appendix describes the standard weighting protocol in place for ATP surveys in the latter half of 2020. 

The ATP data was weighted in a multistep process that accounts for multiple stages of sampling and nonresponse that occur at different points in the survey process. First, each panelist begins with a base weight that reflects their probability of selection for their initial recruitment survey (and the probability of being invited to participate in the panel in cases where only a subsample of respondents were invited). The base weights for panelists recruited in different years are scaled to be proportionate to the effective sample size for all active panelists in their cohort. To correct for nonresponse to the initial recruitment surveys and gradual panel attrition, the base weights for all active panelists are calibrated to align with the population benchmarks identified in the accompanying table to create a full-panel weight. 

Weighting dimensions currently used for the ATP

For ATP waves in which only a subsample of panelists are invited to participate, a wave-specific base weight is created by adjusting the full-panel weights for subsampled panelists to account for any differential probabilities of selection for the particular panel wave. For waves in which all active panelists are invited to participate, the wave-specific base weight is identical to the full-panel weight.

In the final weighting step, the wave-specific base weights for panelists who completed the survey are again calibrated to match the population benchmarks specified above. These weights are trimmed (typically at about the 1st and 99th percentiles) to reduce the loss in precision stemming from variance in the weights. Sampling errors and testing of statistical significance take into account the effect of weighting. 

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