Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Interpretative phenomenological analysis (IPA) is a qualitative approach to psychological research with epistemological roots in phenomenology, hermeneutics and idiography. IPA involves an in‐depth focus on phenomena from the perspective of the lived experience of participants who are considered in their social and personal contexts. IPA has a strong history of use in health psychology and subsequently has become popular across a wide range of research areas. IPA has been used to explore the often complex psychological issues associated with genetic and genomic science and medicine. A range of experiential questions such as how individuals perceive risk, the quandaries associated with getting a genetic test, what is felt to be helpful in genetic counselling, how people understand genetic transmission such as in the case of gamete donation, and the experiences of those living with, or affected by, genetic conditions in a plethora of ways, have all been beneficially investigated. Key Concepts Interpretative phenomenological analysis (IPA) is a qualitative approach to psychological research which allows researchers to conduct detailed explorations of how individuals make sense of their personal and social worlds. IPA is based on a commitment to explore, interpret and attempt to understand participants' situated experiences, rather than categorise, measure or quantify aspects of mental life. The psychological issues associated with genetics and genomics may be complex, emotive, dilemmatic and dynamic and present different demands upon psychological research from those generated by nongenetic areas of science and medicine. IPA was developed to be methodologically adaptive and versatile and is thus well suited to respond to the growing range of questions about health, reproduction and indeed human life generated by expanding genetic and genomic knowledge. IPA has been used to explore psychological aspects of genetics and genomics such as the perception of risk, experiences of genetic counselling, the complexities of living with a genetic condition both for affected individuals and also their families, carers and clinicians, questions associated with genetic testing and understandings of genetic transmission such as gamete donation or being a carrier of a genetic condition. Expanding genetic and genomic knowledge has led to increasing opportunities for researchers, clinicians and individuals to ask a growing range of questions about health, reproduction and indeed human life. As genetic and genomic science continues to develop, the sensitivity and flexibility conferred by IPA continue to offer a particular suitability towards this expanding area and the new or unfamiliar issues which may yet emerge.
Interpretative phenomenological analysis (IPA) is a qualitative approach to psychological research with epistemological roots in phenomenology, hermeneutics and idiography. IPA involves an in‐depth focus on phenomena from the perspective of the lived experience of participants who are considered in their social and personal contexts. IPA has a strong history of use in health psychology and subsequently has become popular across a wide range of research areas. IPA has been used to explore the often complex psychological issues associated with genetic and genomic science and medicine. A range of experiential questions such as how individuals perceive risk, the quandaries associated with getting a genetic test, what is felt to be helpful in genetic counselling, how people understand genetic transmission such as in the case of gamete donation, and the experiences of those living with, or affected by, genetic conditions in a plethora of ways, have all been beneficially investigated. Key Concepts Interpretative phenomenological analysis (IPA) is a qualitative approach to psychological research which allows researchers to conduct detailed explorations of how individuals make sense of their personal and social worlds. IPA is based on a commitment to explore, interpret and attempt to understand participants' situated experiences, rather than categorise, measure or quantify aspects of mental life. The psychological issues associated with genetics and genomics may be complex, emotive, dilemmatic and dynamic and present different demands upon psychological research from those generated by nongenetic areas of science and medicine. IPA was developed to be methodologically adaptive and versatile and is thus well suited to respond to the growing range of questions about health, reproduction and indeed human life generated by expanding genetic and genomic knowledge. IPA has been used to explore psychological aspects of genetics and genomics such as the perception of risk, experiences of genetic counselling, the complexities of living with a genetic condition both for affected individuals and also their families, carers and clinicians, questions associated with genetic testing and understandings of genetic transmission such as gamete donation or being a carrier of a genetic condition. Expanding genetic and genomic knowledge has led to increasing opportunities for researchers, clinicians and individuals to ask a growing range of questions about health, reproduction and indeed human life. As genetic and genomic science continues to develop, the sensitivity and flexibility conferred by IPA continue to offer a particular suitability towards this expanding area and the new or unfamiliar issues which may yet emerge.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.