Logo image
Using Colaizzi’s method of data analysis to explore the experiences of nurse academics teaching on satellite campuses
Journal article   Peer reviewed

Using Colaizzi’s method of data analysis to explore the experiences of nurse academics teaching on satellite campuses

L Wirihana, A Welch, Martin Williamson, Martin Christensen, Shannon Bakon and Judy A Craft
Nurse Researcher, Vol.25(4), pp.30-34
2018
url
https://doi.org/10.7748/nr.2018.e1516View
Published Version

Abstract

data analysis nursing research phenomenology qualitative research
Background: Phenomenology is a useful methodological approach in qualitative nursing research. It enables researchers to put aside their perceptions of a phenomenon and give meaning to a participant's experiences. Exploring the experiences of others enables previously unavailable insights to be discovered. Aim: To delineate the implementation of Colaizzi's (1978) method of data analysis in descriptive phenomenological nursing research. Discussion: The use of Colaizzi's method of data analysis enabled new knowledge to be revealed and provided insights into the experiences of nurse academics teaching on satellite campuses. Local adaptation of the nursing curriculum and additional unnoticed responsibilities had not been identified previously and warrant further research. Conclusion: Colaizzi's (1978) method of data analysis is rigorous and robust, and therefore a qualitative method that ensures the credibility and reliability of its results. It allows researchers to reveal emergent themes and their interwoven relationships. Researchers using a descriptive phenomenological approach should consider using this method as a clear and logical process through which the fundamental structure of an experience can be explored. Implications for research: Colaizzi's phenomenological methodology can be used reliably to understand people's experiences. This may prove beneficial in the development of therapeutic policy and the provision of patient-centred care.

Details

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
Web Of Science research areas
Nursing

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Logo image