Interpretative Phenomenological Analysis: Completing and Enhancing the Process with ATLAS.ti

Dataset

Abstract

This dataset is designed for learning how to complete and enhance the approach to Interpretative Phenomenological Analysis (IPA) developed by Smith, Flowers and Larkin (2009, 2022), using a leading Computer-Assisted Qualitative Data Analysis Software (CAQDAS) package: ATLAS.ti. The data used are the example transcripts used as illustrations in Smith, Flowers and Larkin (2022). Additional optional extension materials are derived from the TQRMUL teaching dataset. The dataset files are accompanied by a teaching guide and a student guide.
Date made available20 Jan 2024
PublisherSAGE Publications

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