Phenomenological studies have been critiqued when analytic activities and intersection with the underpinning philosophy lack clarity. This methodological discussion paper describes data analysis in hermeneutic interpretive phenomenology. Data management strategies (transcript preparation, coding, philosophy application, tabling/concept maps, and Microsoft Word) and data analysis processes (reduction, display, and conclusion drawing/verification) are illustrated. Deconstruction, reconstruction, and reorganisation of themes/subthemes using hierarchical heading styles to populate the navigation pane and philosophical tenets acted as analytic hooks. This paper has outlined data analysis in hermeneutic interpretive phenomenology, including the use of MS Word and its functionality, which was supported by other data display strategies to enhance data visualisation and verification. Techniques described are transferrable to other qualitative methodologies.
qualitative research, phenomenological interpretation, hermeneutics, rigour
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License.
Recommended APA Citation
Monaro, S., Gullick, J., & West, S. (2022). Qualitative Data Analysis for Health Research: A Step-by-Step Example of Phenomenological Interpretation. The Qualitative Report, 27(4), 1040-1057. https://doi.org/10.46743/2160-3715/2022.5249