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Abstract:
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Web crawling, snowball sampling, and respondent-driven sampling (RDS) are three types of network driven sampling techniques that are popular when it is difficult to contact individuals in the population of interest. It has been previously shown that if participants refer "too many" other participants, then the standard approaches do not provide "square root n" consistent estimators. This talk will discuss two novel approaches to provide such estimators. The first approach must be incorporated during data collection. The second approach is a novel estimator. This talk will discuss both statistical theory and a human subject experiment to test the validity of the novel form of data collection.
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