257 – Contributed Oral Poster Presentations: Section for Statistical Programmers and Analysts
A Design Effect Measure for Calibration Weights in Single-stage Samples
Kimberly Henry
IRS
Richard Valliant
University of Michigan and University of Maryland
We propose a model-based extension of weighting design-effect measures. We develop a summary-level diagnostic for different variables of interest, in single-stage sampling and under calibration weight adjustments. Our proposed design effect measure captures the joint effects of a non-epsem sampling design, unequal weights produced using calibration adjustments, and the strength of the association between an analysis variable and the auxiliaries used in calibration. We compare our proposed measure to existing design effect measures using a case study and simulation involving establishment-type data.