A critical evaluation of the use of interpretative phenomenological analysis (IPA) in health psychology

Критическая оценка применения интерпретативного феноменологического анализа (IPA) в психологии здоровья
Joanna M. Brocki, Alison Wearden
2005-12-21

health psychologyinterpretative phenomenological analysis (IPA)qualitative researchqualitative research evaluationsystematic literature review
With the burgeoning use of qualitative methods in health research, criteria for judging their value become increasingly necessary. Interpretative phenomenological analysis (IPA) is a distinctive approach to conducting qualitative research being used with increasing frequency in published studies. A systematic literature review was undertaken to identify published papers in the area of health psychology employing IPA. A total of 52 articles are reviewed here in terms of the following: methods of data collection, sampling, assessing wider applicability of research and adherence to the theoretical foundations and procedures of IPA. IPA seems applicable and useful in a wide variety of research topics. The lack of attention sometimes afforded to the interpretative facet of the approach is discussed.
1
A systematic review identified and evaluated 52 health psychology articles using interpretative phenomenological analysis (IPA).
2
IPA appears applicable and useful across a wide variety of health psychology research topics.
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Some studies give insufficient attention to IPA’s interpretative component, weakening adherence to the approach’s distinctive theoretical basis.
4
The review highlights the need for clearer criteria to evaluate the value and quality of qualitative methods in health research.
5
The reviewed studies were assessed for data-collection methods, sampling, wider applicability, and adherence to IPA’s theoretical and procedural foundations.

the use of interpretative phenomenological analysis (IPA) in health psychology research

the methodological quality and theoretical adherence of IPA-based health psychology studies, including data collection, sampling, wider applicability, and attention to interpretation

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2005-12-21
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Joanna M. Brocki
Alison Wearden
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