Abstract
Community-based participatory research fully integrates statistical scientists into the research team, creating dynamic research relationships where both researchers and community partners are educated. Graduate students are also provided opportunities to collaborate with diverse stakeholders and develop skills in knowledge translation. A community-based framework is optimal for studying hard-to-reach populations since community ownership of study processes and results ensures research questions better reflect the community’s priorities and needs. Respondent-driven sampling has become increasingly popular as a survey and analysis technique within community-based participatory research due to its ability to recruit hard-to-reach populations more effectively and with less bias than traditional sampling techniques. This chapter focuses on the experiences of the authors within community-based research partnerships which incorporate respondent-driven sampling. Several areas of reflection and suggestions for successful community-based research partnerships for statistical scientists and trainees are highlighted through their stories.
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Rotondi, M.A. et al. (2023). Community-Based Participatory Research and Respondent-Driven Sampling: A Statistician’s, Community Partner’s and Students’ Perspectives on a Successful Partnership. In: Woolford, D.G., Kotsopoulos, D., Samuels, B. (eds) Applied Data Science. Studies in Big Data, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-031-29937-7_5
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