Randomly sampling from among sub-populations who share characteristics that are important with respect to answering the guiding questions (such as race, gender, type of disability, age, etc.).
Increases the likelihood that sub-populations are adequately represented in the sample
Example: Randomly sampling 200 participants who experience one or more of the five disability types served by a managed care organization to ensure each disability type is adequately represented.
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