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Geddes, Alistair; Parker, Charlie; Scott, Sam – International Journal of Social Research Methodology, 2018
Snowball sampling is frequently advocated and employed by qualitative social researchers. Under certain circumstances, however, it is prone to faltering and even failure. Drawing on two research projects where the snowball failed to roll, the paper identifies reasons for this stasis. It goes on to argue that there are alternative forms of…
Descriptors: Qualitative Research, Social Science Research, Sampling, Research Problems
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Bernard, Josef; Danková, Hana; Vašát, Petr – International Journal of Social Research Methodology, 2018
Respondent-driven sampling (RDS) is a survey method for hidden populations and, as such, it offers a suitable approach for sampling the homeless. Surprisingly, the practical use of RDS in surveying homeless populations has only sporadically been described in the professional literature so far, and the specifics of using RDS for sampling this group…
Descriptors: Research Methodology, Surveys, Homeless People, Foreign Countries
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James, Katherine A.; Levinson, Arnold H.; Li, Yaqiang; Baumann, Carsten; Maffey, Ali – International Journal of Social Research Methodology, 2018
Public health relies on sample surveys to monitor the health of populations and investigate factors that contribute to population health and illness. Such investigations require surveying individuals who are selected in ways that support statistical inference to the population. Faced with rising costs and declining participation, survey…
Descriptors: Public Health, Sampling, State Surveys, Recruitment
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Labhart, Florian; Santani, Darshan; Truong, Jasmine; Tarsetti, Flavio; Bornet, Olivier; Landolt, Sara; Gatica-Perez, Daniel; Kuntsche, Emmanuel – International Journal of Social Research Methodology, 2017
We developed the Geographical Proportional-to-size Street-Intercept Sampling (GPSIS) method in order to obtain a sample of nightlife-goers which accounted for the diversity of spaces, patrons and locations within two Swiss cities. Popular nightlife zones were identified and quantified using social media data and local experts' knowledge. Young…
Descriptors: Social Science Research, Urban Areas, Social Life, Sampling