Recruiting hard-to-reach United States population sub-groups via adaptations of snowball sampling strategy
By G. Sadler, Hau Lee, Rod Seung-Hwan Lim, J. Fullerton. Nursing and Health Sciences, 2010
1,267 citations recorded by the source corpus.
Nurse researchers and educators often engage in outreach to narrowly defined populations. This article offers examples of how variations on the snowball sampling recruitment strategy can be applied in the creation of culturally appropriate, community-based information dissemination efforts related to recruitment to health education programs and research studies. Examples from the primary author’s program of research are provided to demonstrate how adaptations of snowball sampling can be effectively used in the recruitment of members of traditionally underserved or vulnerable populations. The adaptation of snowball sampling techniques, as described in this article, helped the authors to gain access to each of the more vulnerable population groups of interest. The use of culturally sensitive recruitment strategies is both appropriate and effective in enlisting the involvement of members of vulnerable populations. Adaptations of snowball sampling strategies should be considered when recruiting participants for education programs or subjects for research studies when recruitment of a population based sample is not essential.
Subfields: Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/28c648381f9ee50eda986369d72a2486a7107ec4
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In Epidemiology
Citations in the corpus
- Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups (2014, neutral): “Latino, Hispanics, Asian, or mixed) 40 [14-16,18,20-22,29,38,42,44-46,56,57,60-64,67,77,80, 85-87,90,92-94,101,103-105,107-112,127]”
- Individual Differences in Cognitive Emotion Regulation: Implications for Subjective and Psychological Well-Being (2016, background): “Although we were able to reach a large sample of adults of different ages, status and education levels, the sample may include an over-representation of individuals with numerous social connections who share similar characteristics (Sadler et al. 2010).”