The multi-level integrated database approach (MIDA) is an enhancement to survey sampling that uses databases to collect as much information as practical about the target sample at both the case level and at various aggregate levels during the initial sampling stage. The goal of MIDA is to raise the final quality, and thus the accuracy, of survey data; it can do this in a variety of ways.
The following description of MIDA uses the example of national samples of U.S. households based on addresses and as such is directly appropriate for postal and in-person samples. However, similar approaches can be applied to other modes and populations (e.g. national random-digit dialing [RDD] telephone samples, panel studies, list-based samples, and local surveys).
The first step in MIDA ...
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