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Analyzing case studies on male infidelity using interpretive phenomenological analysis : a collaborative group approach

Author: Katarzyna PeoplesDeena SheltonAnthony ZazzarinoPamela RileyRashida FisherAll authors
Publisher: London : SAGE Publications, Ltd., 2019.
Edition/Format:   eBook : Document : English
Summary:
In this dataset, we report on our study where we applied Interpretive Phenomenological Analysis (IPA) to explore male infidelity in a monogamous and a non-monogamous relationship by using a phenomenological dual case study from the US. Multiple semi-structured interviews with each participant yielded in-depth, rich phenomenological case studies for analysis. As a team, the researchers employed the qualitative,  Read more...
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Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Katarzyna Peoples; Deena Shelton; Anthony Zazzarino; Pamela Riley; Rashida Fisher; Jenae Thompson; Veronica Kirkland
ISBN: 9781526486752 152648675X
OCLC Number: 1089526364
Description: 1 online resource : illustrations
Responsibility: Katarzyna Peoples, Deena Shelton, Anthony Zazzarino, Pamela Riley, Rashida Fisher, Jenae Thompson, Veronica Kirkland.

Abstract:

In this dataset, we report on our study where we applied Interpretive Phenomenological Analysis (IPA) to explore male infidelity in a monogamous and a non-monogamous relationship by using a phenomenological dual case study from the US. Multiple semi-structured interviews with each participant yielded in-depth, rich phenomenological case studies for analysis. As a team, the researchers employed the qualitative, hermeneutic four-step process of IPA to interpret the participant's experience of the phenomenon. To increase the study's rigour and trustworthiness, the researchers structured the data analysis process to triangulate the results. This dataset includes visual representations of the four-step IPA process and sample tables with the resulting themes. The data example and reflective questions serve as guide for teams of researchers seeking a collaborative data analysis process using IPA. The dataset files are accompanied by a Teaching Guide and a Student Guide.

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