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A phenomenological model forgoes any attempt to explain why the variables interact the way they do, and simply attempts to describe the relationship, with the assumption that the relationship extends past the measured values. [1] [page needed] Regression analysis is sometimes used to create statistical models that serve as phenomenological models.
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 .
Data analysis [ edit ] The phenomenological psychological attitude is to be assumed while analyzing the data in order to ensure that "the results reflect a careful description of precisely the features of the experienced phenomenon as they present themselves to the consciousness of the researcher" (Giorgi, 2009, pp. 130–131).
Note: a multiple approach design may include entirely "quantitative" approaches such as combining a survey and an experiment; or entirely "qualitative" approaches such as combining an ethnographic and a phenomenological inquiry, and a mixed approach design includes a mixture of the above (e.g., a mixture of quantitative and qualitative data ...
A phenomenographic data analysis sorts qualitatively distinct perceptions which emerge from the data collected into specific "categories of description." [1] [2] [3] [8] The set of these categories is sometimes referred to as an "outcome space." These categories (and the underlying structure) become the phenomenographic essence of the ...
Phenomenology or phenomenological psychology, a sub-discipline of psychology, is the scientific study of subjective experiences. [1] It is an approach to psychological subject matter that attempts to explain experiences from the point of view of the subject via the analysis of their written or spoken words. [ 2 ]