Our unique stepwise calibration methodology for choosing the calibration model that is most effective at reducing selection bias and total error in key study outcomes. This experimentally-validated procedure adapts a guided-search algorithm that maximizes bias reduction in a cost-effective way.
Expansive Bank of Calibration Items
An expansive bank of topic-customizable non-demographic calibration items validated through rigorous experimentation. These items offer an alternative to “one-size-fits-all” weighting by tailoring calibration items to the study topic, improving the effectiveness of calibration and controlling selection bias in study outcomes.
A full-service research organization, our highly experienced SSRS Methods, Analytics, and Data Science (MADS) group conceptualizes and manages survey data collection from design to dissemination. They have extensive expertise in methodological experimentation, sampling, weighting, data collection planning, monitoring, adaptive and tailored design, data editing and imputation, documentation, reporting, and quantitative analysis.
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