Measures of the Degree of Departure from Ignorable Sample Selection.

ABSTRACT: With the current focus of survey researchers on "big data" that are not selected by probability sampling, measures of the degree of potential sampling bias arising from this nonrandom selection are sorely needed. Existing indices of this degree of departure from probability sampling, like the R-indicator, are based on functions of the propensity of inclusion in the sample, estimated by modeling the inclusion probability as a function of auxiliary variables. These methods are agnostic about the relationship between the inclusion probability and survey outcomes, which is a crucial feature of the problem. We propose a simple index of degree of departure from ignorable sample selection that corrects this deficiency, which we call the standardized measure of unadjusted bias (SMUB). The index is

SUBMITTER: Little RJA 

PROVIDER: S-EPMC7750890 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature