Aim: Originating from unfunded research undertaken in 2007, this paper offers an overview of Colaizzi's method of phenomenological analysis and proposes an extension to the original seven step approach enhancing rigour and, expanding information sources to enhance in-depth descriptions of phenomena for study.
Background: The focus on human experience emanates from the human sciences in which the everyday lived world of humans constitutes the ontological and epistemological focus of enquiry - understanding of human experiences. Since the emergence of phenomenology as a method of enquiry, advances in phenomenological thought and research methods have emerged.
Method: Colaizzi's phenomenological method of enquiry was used as the basis of enquiry in this study.
Findings: The extension to Colaizzi's method of analysis emanated from recent research conducted by the authors to allow participants to express their experiences through everyday language. These 'expressions of life' included - art, music, poetry, metaphor as symbolic representations - as a vehicle for participants' to explicate their experiences.
Conclusion: The additional step proposed as an extension to Colaizzi's seven step analysis offers researchers using Colaizzi's method greater access to implicit and explicit meanings embedded in participant descriptions by utilising 'expressions of life' - art, music, poetry, metaphor as symbolic representations - as articulated by the participants in explicating their experience of the phenomenon.
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http://dx.doi.org/10.5172/conu.2011.163 | DOI Listing |
Nurs Health Sci
March 2025
School of Nursing, Master Program, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia.
To explore the experiences of nurses in maintaining the dignity of patients with life-limiting illnesses. A phenomenological study was conducted with 15 purposively selected nurses who provide care for patients with life-limiting illnesses. Colaizzi's naturalistic phenomenological approach was utilized to analyze the data.
View Article and Find Full Text PDFHealth Expect
February 2025
College of Nursing, Xinyang Vocational and Technical College, Xin Yang, Henan, China.
Objectives: The study aims to understand the return to work (RTW) needs of young and middle-aged people who have experienced a stroke and to contribute to the development of supportive RTW services.
Design: A qualitative study employing the phenomenological method.
Participants: Eleven young and middle-aged people who have experienced a stroke participated in the study.
BMJ Open
December 2024
School of Nursing and Health, Zhengzhou University, Zhengzhou, China.
Objectives: This study explored the perceptions and experiences of self-advocacy among patients who had a stroke in China.
Design: A descriptive phenomenological qualitative study was performed. Colaizzi's seven-step method was used to analyse the data.
Nurse Educ Today
December 2024
Anglia Ruskin University, Cambridge, UK. Electronic address:
Background: Involving people with lived experience in United Kingdom healthcare courses is a government directive and professional body recommendation, yet involvement remains non-standardised with minimal guidance. Previous literature has largely ignored the experiences of Nurse lecturer's in this work, yet they provide vital resources in promoting, sustaining and developing the involvement of people with lived experience.
Aim: To explore adult nurse lecturers' experiences of working with people with lived experience in two higher educational institution settings.
Eur J Psychotraumatol
December 2025
Department of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, People's Republic of China.
To explore the experience of post-traumatic growth among parents of children with biliary atresia undergoing living-related liver transplantation.: Participants were recruited within 2 weeks of their child's transplant surgery using purposive sampling. Transcripts were analyzed using Colaizzi's descriptive analysis framework, with collaborative analysis conducted using NVivo 12 software and a post-traumatic growth model.
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