The qualitative research “gold standard” for quality research is data saturation. The limited literature on reporting data saturation and transparency in qualitative research has supported an inconsistent research standard suggesting researchers have not adequately reported data saturation to promote transparency (O’Reilly & Parker, 2012). Confusion regarding how to analyze qualitative data to achieve data saturation, how to write clear qualitative research findings, and present these findings in a usable manner continues (Sandelowski & Leeman, 2012). A phenomenological asynchronous online focus group using WordPress® was employed to answer the research question. Based on the current literature on the topic of focus group data saturation, the study findings were analyzed by group, individual, and day of the study. Additionally, the data was presented in a chart format providing a visible approach to data analysis and saturation. Employing three different methods of data analysis to confirm saturation and transparency provides qualitative researchers with different approaches to data analysis for saturation and enhancement of trustworthiness. Placing data in a visual configuration provides an alternative method of presenting research findings. The data analysis methods presented are not meant to replace existing methods of achieving data saturation but to provide an alternate approach to achieving data saturation and reporting the findings in a clear, usable format.
Qualitative Research, Focus Group, Data Saturation, Trustworthiness
Mary would like to thank her dissertation chair, Dr. Linda Amankwaa and her committee members, Dr. Maria Revell and Dr. Dale Mueller for their support and guidance in developing her first post-doctoral dissertation study article. She would also like to thank her colleagues at Shepherd University for their support as she completed her dissertation.
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Recommended APA Citation
Hancock, M. E., Amankwaa, L., Revell, M. A., & Mueller, D. (2016). Focus Group Data Saturation: A New Approach to Data Analysis. The Qualitative Report, 21(11), 2124-2130. Retrieved from http://nsuworks.nova.edu/tqr/vol21/iss11/13