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Descriptive phenomenological method in psychology

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Theoretical perspective

Giorgi promotes phenomenology as a theoretical movement that avoids certain simplified tendencies sustained by many modern approaches to psychological research. According to the phenomenological psychological perspective embraced by Giorgi, researchers are encouraged to "bracket" their own assumptions pertaining to the phenomenon in question by refraining from positing a static sense of objective reality for oneself and the participants whose experiences are being studied. This allows the researchers to attend to the descriptions of the participants without forcing the meaning of the descriptive units into pre-defined categories.

An important aspect of the descriptive phenomenological method in psychology is the way by which it distinguishes itself from those approaches that are strictly interpretive. In this, Giorgi closely follows Husserl who proposes that "being given and being interpreted are descriptions of the same situation from two different levels of discourse." As such, in the Descriptive Phenomenological Method there are both descriptive and interpretive moments, but the researcher remains careful to attend to each type of act in unique ways. Through a sort of empathetic immersion with the subjects and their descriptions, the researchers get a sense of the ways that the experiences given by the participants were actually lived, which is in turn described. During this process, however, theoretical or speculative interpretation should be avoided so as to flesh out the full lived meaning inherent to the descriptions themselves (Giorgi, 2009, p. 127). Interpretation may then occur to various extents during other phases of the research process, but only as it relates to implications of the results rather than the lived meaning of the participants' experiences.

Another form of Descriptive phenomenological method in psychology was proposed by Paul Colaizzi. This method follows a distinctive seven step process that stays close to the data while providing strong analysis.

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