Abstract
In this article, the authors describe how they used a hybrid process of inductive and deductive thematic analysis to interpret raw data in a doctoral study on the role of performance feedback in the self-assessment of nursing practice. The methodological approach integrated data-driven codes with theory-driven ones based on the tenets of social phenomenology. The authors present a detailed exemplar of the staged process of data coding and identification of themes. This process demonstrates how analysis of the raw data from interview transcripts and organizational documents progressed toward the identification of overarching themes that captured the phenomenon of performance feedback as described by participants in the study.
Keywords
Raw dataCoding (social sciences)Thematic analysisPhenomenonComputer scienceIdentification (biology)Process (computing)EpistemologyData sciencePsychologyQualitative researchSociologySocial science
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Publication Info
- Year
- 2006
- Type
- article
- Volume
- 5
- Issue
- 1
- Pages
- 80-92
- Citations
- 10294
- Access
- Closed
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Cite This
Jennifer Fereday,
Eimear Muir‐Cochrane
(2006).
Demonstrating Rigor Using Thematic Analysis: A Hybrid Approach of Inductive and Deductive Coding and Theme Development.
International Journal of Qualitative Methods
, 5
(1)
, 80-92.
https://doi.org/10.1177/160940690600500107
Identifiers
- DOI
- 10.1177/160940690600500107