Nonprobability and Probability-Based Sampling Strategies in Sexual Science
Published In
Journal of Sex Research
Document Type
Citation
Publication Date
4-2015
Abstract
With few exceptions, much of sexual science builds upon data from opportunistic nonprobability samples of limited generalizability. Although probability-based studies are considered the gold standard in terms of generalizability, they are costly to apply to many of the hard-to-reach populations of interest to sexologists. The present article discusses recent conclusions by sampling experts that have relevance to sexual science that advocates for nonprobability methods. In this regard, we provide an overview of Internet sampling as a useful, cost-efficient, nonprobability sampling method of value to sex researchers conducting modeling work or clinical trials. We also argue that probability-based sampling methods may be more readily applied in sex research with hard-to-reach populations than is typically thought. In this context, we provide three case studies that utilize qualitative and quantitative techniques directed at reducing limitations in applying probability-based sampling to hard-to-reach populations: indigenous Peruvians, African American youth, and urban men who have sex with men (MSM). Recommendations are made with regard to presampling studies, adaptive and disproportionate sampling methods, and strategies that may be utilized in evaluating nonprobability and probability-based sampling methods.
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DOI
10.1080/00224499.2015.1016476
Persistent Identifier
http://archives.pdx.edu/ds/psu/24058
Citation Details
Catania, J., Dolcini, M.M., Orellana, E.R., & Narayav, V. (2015). Nonprobability and probability-base sampling strategies in sexual science. Journal of Sex Research. 52(4), 396-411.