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Snowball Sampling: A Review and Guidelines for Survey Research
Abstract
Snowball sampling is widely recognized as an effective technique for accessing hardto-reach populations and enhancing participation through social connections. However, its application in quantitative survey research within business and management studies has received limited attention, resulting in a lack of comprehensive guidelines and inconsistent reporting practices. This editorial addresses this gap by providing a comprehensive overview of snowball sampling and highlighting its advantages, limitations, and practical recommendations for effective implementation in quantitative research. It also offers guidelines for reporting snowball sampling to ensure methodological rigor and transparency. By offering practical insights and methodological guidance, this editorial aims to enhance the quality of research in business and management studies, particularly in contexts where snowball sampling is essential or the only way to obtain reliable quantitative data.
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Snowball sampling is particularly effective for exploring sensitive topics and increasing participation through Pacific peoples' existing relational networks.
“This method is particularly effective for exploring sensitive topics and increasing participation through Pacific peoples’ existing relational networks [19,29,30].”
From Voices of the Pacific: Pacific Peoples’ Conceptualisations of Anxiety in Aotearoa New Zealand—Findings from a Cross-Sectional Survey (2026) · cites this paper as [30]
The Introduction says snowball sampling is useful for sensitive topics because it uses trust within social connections to encourage participation. The Higher Response Rates section likewise describes increased participation through trusted referrals. Neither passage addresses Pacific peoples or establishes that the method is particularly effective within their relational networks. (LLM, conf=0.86)
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Research works printed but not linked: 23
- Aguinis, H., Hill, N. S. and Bailey, J. R., (2021), "Best Practices in Data Collection and Preparation: Recommendations for Reviewers, Editors, And Authors", Organizational Research Methods, vol. 24, no. 4, pp. 678-693.
- Aguinis, H., Ramani, R. S. and Alabduljader, N., (2018), "What You See Is What You Get? Enhancing Methodological Transparency in Management Research", Academy of Management Annals, vol. 12, no. 1, pp. 83-110.
- Appelbaum, M., Cooper, H., Kline, R. B., Mayo-Wilson, E., Nezu, A. M. and Rao, S. M., (2018), "Journal Article Reporting Standards for Quantitative Research in Psychology: The APA Publications and Communications Board Task Force Report", American Psychologist, vol. 73, no. 1, pp. 3-25.
- Atkinson, R. and Flint, J., (2001), "Accessing Hidden and Hard-To-Reach Populations: Snowball Research Strategies", Social Research Update, vol. 33, no. 1, pp. 1-4.
- Biernacki, P. and Waldorf, D., (1981), "Snowball Sampling: Problems And Techniques of Chain Referral Sampling", Sociological Methods & Research, vol. 10, no. 2, pp. 141- 163.
- Bell, E., Bryman, A. and Harley, B., (2020), Business Research Method, 5th ed., Oxford University Press, United Kingdom.
- Bryman, A. and Bell, E., (2019), Social Research Methods, 5th Canadian ed., Oxford University Press.
- Cohen, N. and Arieli, T., (2011), "Field Research in Conflict Environments: Methodological Challenges and Snowball Sampling", Journal of Peace Research, vol. 48, no. 4, pp. 423-435.
- Dusek, G. A., Yurova, Y. V. and Ruppel, C. P., (2015), "Using Social Media and Targeted Snowball Sampling to Survey a Hard-To-Reach Population: A Case Study", International Journal of Doctoral Studies, vol. 10, pp. 279-299.
- Eidson, J. L., Roman, C. G. and Cahill, M., (2017), "Successes and Challenges in Recruiting and Retaining Gang Members in Longitudinal Research: Lessons Learned from a Multisite Social Network Study", Youth Violence and Juvenile Justice, vol. 15, no. 4, pp. 396-418.
- Gierczyk, M. K., Gromkowska-Melosik, A., Scott, S. and Parker, C., (2023), "The Snowball Sampling Strategy in The Field of Social Sciences: Contexts and Considerations", Przegląd Badań Edukacyjnych, vol. 43.
- Goodman, L. A., (2011), "Comment: On Respondent-Driven Sampling and Snowball Sampling in Hard-To-Reach Populations and Snowball Sampling Not in Hard-To-Reach Populations", Sociological Methodology, vol. 41, no. 1, pp. 347-353.
- Hair, J. F., Jr., Page, M. and Brunsveld, N., (2020), Essentials of Business Research Methods, Taylor & Francis Group.
- Heckathorn, D. D., (2011), "Snowball Versus Respondent-Driven Sampling", Sociological Methodology, vol. 41, no. 1, pp. 355-366.
- Memon, M. A., Thurasamy, R., Cheah, J. H., Ting, H., Chuah, F. and Cham, T. H., (2023), "Addressing Common Method Bias, Operationalization, Sampling, And Data Collection Issues in Quantitative Research: Review and Recommendations", Journal of Applied Structural Equation Modeling, vol. 7, no. 2, pp. 1-14.
- Memon, M. A., Thurasamy, R., Ting, H. and Cheah, J. H., (2024), "Purposive Sampling: A Review and Guidelines for Quantitative Research", Journal of Applied Structural Equation Modeling, vol. 9, no. 1, pp. 1-23.
- Naderifar, M., Goli, H. and Ghaljaie, F., (2017), "Snowball Sampling: A Purposeful Method of Sampling in Qualitative Research", Strides in Development of Medical Education, vol. 14, no. 3. Noy, C., (2008), "Sampling Knowledge: The Hermeneutics of Snowball Sampling in Qualitative Research", International Journal of Social Research Methodology, vol. 11, no. 4, pp. 327-344.
- Pasikowski, S., (2023), "Snowball Sampling and Its Non-Trivial Nature", Przegląd Badań Edukacyjnych (Educational Studies Review), vol. 2, no. 43, pp. 105-120.
- Sadler, G. R., Lee, H. C., Lim, R. S. and Fullerton, J., (2010), "Recruitment of Hard-To-Reach Population Subgroups via Adaptations of the Snowball Sampling Strategy", Nursing & Health Sciences, vol. 12, no. 3, pp. 369-374.
- Sefcik, J. S., Hathaway, Z. and Dimaria-Ghalili, R. A., (2023), "When Snowball Sampling Leads to an Avalanche of Fraudulent Respondents in Qualitative Research", International Journal of Older People Nursing, vol. 18, no. 6, p. E12572.
- Saunders, M. N. K., Lewis, P. and Thornhill, A., (2023), Research Methods for Business Students, 9th ed., Pearson.
- Törnävä, M., Palonen, M., Harju, E., Haapa, T., Rissanen, M. and Kylmä, J., (2025), "Hard- To-Reach and Hidden Groups in Health-Related Research-A Scoping Review", Journal of Advanced Nursing.
- Waters, J., (2015), "Snowball Sampling: A Cautionary Tale Involving a Study of Older Drug Users", International Journal of Social Research Methodology, vol. 18, no. 4, pp. 367- 380.
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Chandra, L. A., McLean-Orsborn, S., Tone-Graham, P. V., & Kapeli, S. A. (2026) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph23030291
Metadata
- Authors
- International College, K. U., Ting, H., College of Tourism, H. A. T. M., School of Management and Marketing, T. U., Memon, M. A., Faculty of Business, S. U., National University of Sciences and Technology, I., Chandigarh University, M., Thurasamy, R., Faculty of Business, S. U., School of Management, U. S. M., Asia Pacific University of Technology & Innovation (APU), K. L., Cheah, J.-H., & Norwich Business School, U. O. E. A.
- Venue
- Asian Journal of Business Research
- Publisher
- Asia Business Research Group
- Published
- 2025-03-18
- Volume
- 15
- Issue
- 1
- Pages
- 1-15
- ISSN
- 2463-4522
- 1178-8933
- Cited by
- 153
- References
- 0
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