n-Sizes, Attributes, and A Priori Sampling: A Qualitative Sampling Model for Large, Heterogeneous Populations

Natalie Perez

doi:10.29333/ajqr/14895

Natalie Perez ¹

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AM J QUALITATIVE RES, Volume 8, Issue 3, pp. 193-207

https://doi.org/10.29333/ajqr/14895

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Abstract

Qualitative sampling in the age of Big Data requires tactful negotiation. Although qualitative research aims to explore the depth as opposed to breadth of experiences, opinions, or beliefs of individuals regarding a unique phenomenon, stakeholders or sponsors might not always be convinced that small sample sizes can yield big results. Intimate population awareness, identification of attributes of importance, selection of a purposeful numbers game, and strategic use of instruments can aid in appropriate sampling approaches for large, heterogeneous populations. This paper reviews the principles of nonprobability sampling, summarizes key qualitative sampling characteristics to consider, and provides a set of examples for negotiating sample sizes in the era of Big Data.

Keywords: Qualitative methods, nonprobability sampling, a priori, employee experience, sample size

References

Ando, H., Cousins, R., & Young, C. (2014). Achieving saturation in thematic analysis: Development and refinement of a codebook. Comprehensive Psychology, 3, Article 4. https://doi.org/10.2466/03.CP.3.4
Ary, D., Jacobs, C. L., Irvine, C. K. S., Walker, D. (2018). Introduction to Research in Education. Cengage Learning.
Bachman, M. O., O’Brien, M., Husbands, C., Shreeve, A., Jones, N., Watson, J., Reading, R., Thoburn, J., & Mugford, M. (2009). Integrating children’s services in England: National evaluation of children’s trusts. Child: Care, Health and Development, 35(2), 257–265. https://doi.org/10.1111/j.1365-2214.2008.00928.x
Baker, S. E., Edwards, R., & Doidge, M. (2012). How many qualitative interviews is enough?: expert voices and early career reflections on sampling and cases in qualitative research. National Centre for Research Methods, Southampton. https://research.brighton.ac.uk/files/301922/how_many_interviews.pdf
Banerjee, A., & Chaudhury, S. (2010). Statistics without tears: Populations and samples. Industrial Psychiatry Journal, 19(1), 60–65.
https://doi.org/10.4103/0972-6748.77642
Baum, M. A. (2002). The constituent foundations of the rally-round-the-flag phenomenon. International Studies Quarterly, 46(2), 263–298. https://doi.org/10.1111/1468-2478.00232
Brink, R. (2018). A multiple case design for the investigation of information management processes for work-integrated learning. International Journal of Work-Integrated Learning, 19(3), 223–235. https://files.eric.ed.gov/fulltext/EJ1196745.pdf
Charmaz, K. (2006). Constructing grounded theory: A practical guide through qualitative analysis. Sage.
Coenen M, Stamm TA, Stucki G, Cieza A. (2012). Individual interviews and focus groups in patients with rheumatoid arthritis: a comparison of two qualitative methods. Qual Life Res. 21(2):359-70. https://doi.org/10.1007/s11136-011-9943-2.
Creswell, J. W. (2013). Steps in conducting a scholarly mixed methods study. DBER Speaker Series, 48. https://digitalcommons.unl.edu/dberspeakers/48
Creswell, J. W., & Garrett, A. L. (2008). The “movement” of mixed methods research and the role of educators. South African Journal of Education, 28(3), 321–333. https://doi.org/10.15700/saje.v28n3a176
Creswell, J. W., Hanson, W. E., Clark Plano, V. L., & Morales, A. (2007). Qualitative research designs: Selection and implementation. The Counseling Psychologist, 35(2), 236–264. https://doi.org/10.1177/0011000006287390
Creswell, J. W., & Miller, D. L. (2000). Determining validity in qualitative inquiry. Theory into practice, 39(3), 124–130. https://doi.org/10.1207/s15430421tip3903_2
Elfil, M., & Negida, A. (2017). Sampling methods in clinical research; an educational review. Emergency, 5(1), Article e52. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5325924/
Erickson, F. (1986). Qualitative methods in research on teaching. In M. C. Wittrock (Ed.), Handbook of research on teaching (3rd ed., pp. 119–161). McMillan.
Francis, J. J., Johnston, M., Robertson, C., Glidewell, L., Entwistle, V., Eccles, M. P., & Grimshaw, J. M. (2010). What is an adequate sample size? Operationalising data saturation for theory-based interview studies. Psychology and Health, 25(10), 1229–1245. https://doi.org/10.1080/08870440903194015
Guba, E. G., & Lincoln, Y. S. (1981). Effective evaluation: Improving the usefulness of evaluation results through responsive and naturalistic approaches. Jossey-Bass.
Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82. https://doi.org/10.1177/1525822X05279903
Hagaman, A. K., & Wutich, A. (2017). How many interviews are enough to identify metathemes in multisited and cross-cultural research? Another perspective on Guest, Bunce, and Johnson’s (2006) landmark study. Field Methods, 29(1), 23–41. https://doi.org/10.1177/1525822X16640447
Hennink, M., & Kaiser, B. N. (2022). Sample sizes for saturation in qualitative research: A systematic review of empirical tests. Social Science & Medicine, 292, Article 114523. https://doi.org/10.1016/j.socscimed.2021.114523
Hennink, M. M., Kaiser, B. N., & Marconi, V. C. (2017). Code saturation versus meaning saturation: How many interviews are enough? Qualitative Health Research, 27(4), 591–608. https://doi.org/10.1177/1049732316665344
Kramer, T. L., & Burns, B. J. (2008). Implementing cognitive behavioral therapy in the real world: A case study of two mental health centers. Implementation Science, 3(1), 1–10. https://doi.org/10.1186/1748-5908-3-14
Krieger, N. (2012). Who and what is a “population”? Historical debates, current controversies, and implications for understanding “population health” and rectifying health inequities. The Milbank Quarterly, 90(4), 634–681. https://doi.org/10.1111/j.1468-0009.2012.00678.x
Lincoln, Y. S. (1998). The ethics of teaching in qualitative research. Qualitative Inquiry, 4(3), 315–327. https://doi.org/10.1177/107780049800400301
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications.
Malterud, K., Siersma, V. D., & Guassora, A. D. (2016). Sample size in qualitative interview studies: Guided by information power. Qualitative Health Research, 26, 1753–1760. https://doi.org/10.1177/1049732315617444
Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. Sage.
Mooney, S. J., & Garber, M. D. (2019). Sampling and sampling frames in big data epidemiology. Current Epidemiology Reports, 6(1),14–22. https://doi.org/10.1007/s40471-019-0179-y
Morse, J. M. (2000). Determining sample size. Qualitative Health Research, 10(1), 3–5. https://doi.org/10.1177/104973200129118183
Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42, 533–544. https://doi.org/10.1007/s10488-013-0528-y
Patton, M. Q. (2002). Qualitative research and evaluation methods. SAGE Publications.
Perez, N. (2022). “Who am I?”: An interpretative phenomenological analysis of tutors’ lived experiences providing online writing tutoring [Doctoral dissertation, University of Hawai'i at Manoa]. https://scholarspace.manoa.hawaii.edu/server/api/core/bitstreams/54e2b3bc-5e77-4e3a-90f7-326b9a139ce7/content
Perez, N. (2023). The rebirth of online tutoring from desert to oasis: An interpretive phenomenological analysis illustrating a writing tutor’s journey transitioning online through the stages of grief. The Peer Review Journal, 7(3). https://thepeerreview-iwca.org/issues/issue-7-3/the-rebirth-of-online-tutoring/
Pescott, O. L., Boyd, R. J., Powney, G. D., & Stewart, G. B. (2023). Towards a unified approach to formal risk of bias assessments for causal and descriptive inference. Airxv. https://doi.org/10.48550/arXiv.2308.11458
Sandelowski, M. (2000). Whatever happened to qualitative description? Research in Nursing & Health, 23(4), 334–340. https://doi.org/10.1002/1098-240X(200008)23:4<334::AID-NUR9>3.0.CO;2-G
Saunders, B., Sim, J., Kingstone, T., Baker, S., Waterfield, J., Bartlam, B., Burroughs, H., & Jinks, C. (2018). Saturation in qualitative research: Exploring its conceptualization and operationalization. Quality & Quantity, 52(4), 1893–1907. https://doi.org/10.1007/s11135-017-0574-8
Sim, J., Saunders, B., Waterfield., J. & Kingstone, T. (2018). Can sample size in qualitative research be determined a priori? International Journal of Social Research Methodology, 21(5), 619–634. https://doi.org/10.1080/13645579.2018.1454643
Smith, J. A., & Osborn, M. (2008). Interpretive phenomenological analysis. In J. A. Smith (Ed.), Qualitative psychology: A practical guide to research methods (pp. 53–80). SAGE Publications.
Stake, R. E. (2005). Qualitative case studies. In: N. K. Denzin and Y. S. Lincoln (eds.). The SAGE handbook of qualitative research (3rd ed.). Thousand Oaks, CA: Sage, pp. 443–466.
Tran, L. N., Back, A. L., & Creutzfeldt, C. J. (2016). Palliative care consultations in the neuro-ICU: A qualitative study. Neurocritical Care, 25, 266–272. https://doi.org/10.1007/s12028-016-0283-5
van Rijnsoever, F. J. (2017). (I can’t get no) saturation: A simulation and guidelines for sample sizes in qualitative research. PloS One, 12(7), Article e0181689. https://doi.org/10.1371/journal.pone.0181689
Vasileiou, K., Barnett, J., Thorpe, S., & Young, T. (2018). Characterising and justifying sample size sufficiency in interview-based studies: Systematic analysis of qualitative health research over a 15-year period. BMC Medical Research Methodology, 18, 1–18. https://doi.org/10.1186/s12874-018-0594-7
Yin, R. K. (2009). Case study research: Design and methods (4th ed). SAGE Publications.
Yin, R. K. (2014). Case study research: Design and methods (5th ed). SAGE Publications.
Young, D. & Casey, E. (2018). An examination of the sufficiency of small qualitative
samples. Social Work Research. 43(1). https://doi.org/10.1093/swr/svy026

Citation

Perez, N. (2024). n-Sizes, Attributes, and A Priori Sampling: A Qualitative Sampling Model for Large, Heterogeneous Populations. American Journal of Qualitative Research, 8(3), 193-207. https://doi.org/10.29333/ajqr/14895

Perez, N. (2024). n-Sizes, Attributes, and A Priori Sampling: A Qualitative Sampling Model for Large, Heterogeneous Populations. American Journal of Qualitative Research, 8(3), pp. 193-207. https://doi.org/10.29333/ajqr/14895

Perez N. n-Sizes, Attributes, and A Priori Sampling: A Qualitative Sampling Model for Large, Heterogeneous Populations. AM J QUALITATIVE RES. 2024;8(3), 193-207. https://doi.org/10.29333/ajqr/14895

Perez, Natalie. "n-Sizes, Attributes, and A Priori Sampling: A Qualitative Sampling Model for Large, Heterogeneous Populations". American Journal of Qualitative Research 2024 8 no. 3 (2024): 193-207. https://doi.org/10.29333/ajqr/14895

Perez, Natalie "n-Sizes, Attributes, and A Priori Sampling: A Qualitative Sampling Model for Large, Heterogeneous Populations". American Journal of Qualitative Research, vol. 8, no. 3, 2024, pp. 193-207. https://doi.org/10.29333/ajqr/14895

Perez N. n-Sizes, Attributes, and A Priori Sampling: A Qualitative Sampling Model for Large, Heterogeneous Populations. AM J QUALITATIVE RES. 2024;8(3):193-207. https://doi.org/10.29333/ajqr/14895