Interpretative phenomenological analysis in the context of "Qualitative research"

⭐ In the context of qualitative research, interpretative phenomenological analysis (IPA) is considered…

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⭐ Core Definition: Interpretative phenomenological analysis

Interpretative phenomenological analysis (IPA) is a qualitative form of psychology research. IPA has an idiographic focus, which means that instead of producing generalization findings, it aims to offer insights into how a given person, in a given context, makes sense of a given situation. Usually, these situations are of personal significance; examples might include a major life event, or the development of an important relationship. IPA has its theoretical origins in phenomenology and hermeneutics, and many of its key ideas are inspired by the work of Edmund Husserl, Martin Heidegger, and Maurice Merleau-Ponty. IPA's tendency to combine psychological, interpretative, and idiographic elements is what distinguishes it from other approaches to qualitative, phenomenological psychology.

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šŸ‘‰ Interpretative phenomenological analysis in the context of Qualitative research

Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation. This type of research typically involves in-depth interviews, focus groups, or field observations in order to collect data that is rich in detail and context. Qualitative research is often used to explore complex phenomena or to gain insight into people's experiences and perspectives on a particular topic. It is particularly useful when researchers want to understand the meaning that people attach to their experiences or when they want to uncover the underlying reasons for people's behavior. Qualitative methods include ethnography, grounded theory, discourse analysis, and interpretative phenomenological analysis. Qualitative research methods have been used in sociology, anthropology, political science, psychology, communication studies, social work, folklore, educational research, information science and software engineering research.

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