CoChat
Sign Up
Cited by 1,088Qualitative Research Methods and EthicsQualitative Research Methods and ApplicationsPhenomenology and Existential Philosophy

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

The Interpretative Phenomenological Analysis (IPA): A Guide to a Good Qualitative Research Approach

Open access
Alase, Abayomi·2017·International Journal of Education and Literacy Studies
DOI 10.7575/aiac.ijels.v.5n.2p.9
Open this paper in CoChat — free account

Abstract

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).

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.7575/aiac.ijels.v.5n.2p.9

Cites

21 of 21 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 21 references

Research works printed but not linked: 6

  1. Alase, A. O. (2016). The impact of the Sarbanes-Oxley Act (SOX) on small-sized publicly traded companies and their communities (Unpublished doctoral dissertation), Northeastern University.
  2. Creswell, J. W. (2013). Qualitative Inquiry and research design choosing among five approaches (3rd Ed). Thousand Oaks, CA: Sage Publications.
  3. Miles, M. B., Huberman, A. M., & Saldana, J. (2013). Qualitative data analysis: A methods sourcebook (3rd Ed.). Thousand Oaks, CA: Sage Publications.
  4. Polkinghorne, D. E. (1989). Phenomenological research methods. In R. S. Valle & S. Halling (Eds.). Existential phenomenological perspectives in psychology (pp. 41–60). New York Plenum.
  5. Rubin, H. J. & Rubin, I. S. (2012). Qualitative interviewing the art of hearing data (3rd Ed.). Thousand Oaks, CA: Sage.
  6. Thomas, D. R. (2006). A general inductive approach for analyzing qualitative evaluation data. American Journal of Evaluation, 27(2), 237-246.

Cited by

Sorted by citations

Related

See all

Metadata

Authors
Alase, A.
Affiliations
Northeastern University (US)
Corresponding author
Alase, Abayomi
ORCID
Alase, Abayomi
Venue
International Journal of Education and Literacy Studies
Publisher
Australian International Academic Centre
Published
2017-04-30
Volume
5
Issue
2
Pages
9
ISSN
2202-9478 (ISSN-L)
DOI
10.7575/aiac.ijels.v.5n.2p.9
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
Licence
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 ›

Are you an author, or do you see a problem with this page? Request a review