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The Interpretative Phenomenological Analysis (IPA): A Guide to a Good Qualitative Research Approach
Open accessAbstract
As a research methodology, qualitative research method infuses an added advantage to the exploratory capability that researchers need to explore and investigate their research studies. Qualitative methodology allows researchers to advance and apply their interpersonal and subjectivity skills to their research exploratory processes. However, in a study with an interpretative phenomenological analysis (IPA) approach, the advantageous elements of the study quadruple because of the bonding relationship that the approach allows for the researchers to develop with their research participants. Furthermore, as a qualitative research approach, IPA gives researchers the best opportunity to understand the innermost deliberation of the ‘lived experiences’ of research participants. As an approach that is ‘participant-oriented’, interpretative phenomenological analysis approach allows the interviewees (research participants) to express themselves and their ‘lived experience’ stories the way they see fit without any distortion and/or prosecution. Therefore, utilizing the IPA approach in a qualitative research study reiterates the fact that its main objective and essence are to explore the ‘lived experiences’ of the research participants and allow them to narrate the research findings through their ‘lived experiences’. As such, this paper discusses the historical background of phenomenology as both a theory and a qualitative research approach, an approach that has transitioned into an interpretative analytical tradition. Furthermore, as a resource tool to novice qualitative researchers, this paper provides a step-by-step comprehensive guide to help prepare and equip researchers with ways to utilize and apply the IPA approach in their qualitative research studies. More importantly, this paper also provides an advanced in-depth analysis and usability application for the IPA approach in a qualitatively conducted research study. As such, this paper completely contrasted itself from many books and articles that are written with the premise of providing useful and in-depth information on the subject-matter (phenomenology, as a qualitative approach).
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“IPA isparticularly well suited for examining individual subjective experiences within their contextual and phenomenological dimensions”
From A Study of Teachers’ Attitudes towards Digital Educational Technologies: a Qualitative Analysis (2026) · cites this paper as Alase 2017
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“Bracketing, the process in which the researcher makes their assumptions explicit to reduce bias in analysis, occurred prior to analyzing each interview (Alase, 2017).”
From “Having One Person Tell Me I Didn’t Do the Wrong Thing”: The Impact of Support on the Post-Sexual Assault Exam Experience (2024) · cites this paper as Alase, 2017
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Metadata
- Authors
- Alase, A.
- Affiliations
- Northeastern University (US)
- Corresponding author
- Alase, Abayomi
- ORCID
- Alase, Abayomi
- Venue
- International Journal of Education and Literacy Studies
- Published
- 2017-04-30
- Volume
- 5
- Issue
- 2
- Pages
- 9
- ISSN
- 2202-9478 (ISSN-L)
- OpenAlex
- W2610541535
- Cited by
- 1,088
- References
- 21
- Citations by year
- 2026: 142 · 2025: 198 · 2024: 173 · 2023: 170 · 2022: 170 · 2021: 122 · 2020: 69 · 2019: 32 · 2018: 8 · 2017: 1
- FWCI
- 77.06
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- International Journal of Education and Literacy Studies (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › Arts and Humanities › Philosophy › Phenomenology and Existential Philosophy
- Keywords
- interpretative phenomenological analysis, phenomenology, lived experience, qualitative research methodology, researcher-participant relationship, history of phenomenology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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