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Snowball sampling
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===Compensations=== The best defense against weaknesses is to begin with a set of initial [[informant]]s that are as diverse as possible.<ref name="Morgan"/> Efforts to improve the main disadvantage of snowball sampling resulted in the respondent-driven sampling (RDS) method.<ref>{{cite journal|last1=Heckathorn|first1=Douglas D.|title=Respondent-Driven Sampling: A New Approach to the Study of Hidden Populations|journal=Social Problems|volume=44|issue=2|pages=174β199|date=1997|url=http://www.respondentdrivensampling.org/reports/RDS1.pdf|doi=10.2307/3096941|jstor=3096941}}</ref> RDS augments the referral method by [[weighting]] the sample in order to compensate for the initial [[Randomness|non-random]] selection, which may lead to the reduction of errors occurring in sampling by the referral method.<ref name="Mirela2"/>
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