Abstract:
|
Recent developments in survey statistics have yielded simple, novel measures of the non-ignorable selection bias in estimates of means, proportions, and regression coefficients that may arise due to deviations from ignorable sample selection, where these deviations might be introduced by the sampling mechanism (e.g., non-probability sampling) or survey nonresponse. Responsive survey designs rely on active monitoring of sound indicators of survey errors to inform real-time design decisions, and these new measures, which are easy to compute at any point in time during a data collection, have the potential to serve as useful indicators of the possible selection bias in estimates of interest. This presentation will review the computation of these indicators, the data required to compute them, software tools for computing them, and how they might be actively monitored in real time to inform design decisions in responsive survey designs.
|