Original paper
Measures of the Degree of Departure from Ignorable Sample Selection
Volume: 8, Issue: 5, Pages: 932 - 964
Published: Aug 29, 2019
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...
Paper Details
Title
Measures of the Degree of Departure from Ignorable Sample Selection
Published Date
Aug 29, 2019
Volume
8
Issue
5
Pages
932 - 964
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