Paul Flowers

Jonathan A. Smith

Michael Larkin

Interpretative phenomenological analysis (IPA) is a qualitative research approach committed to the examination of how people make sense of their major life experiences. This text provides a detailed guide to conducting IPA research, presenting the theoretical underpinnings of the approach, a comprehensive overview of the stages of an IPA research project, and examples of high-quality IPA studies. Extended worked examples from the authors′ own studies in health, psychological distress, and identity illustrate the breadth and depth of IPA research, making this book the definitive guide to IPA for students and researchers alike. New to this edition: - A thoroughly updated chapter dedicated to analysis - An exemplary mini-study - Improved and updated terminology - A chapter discussing innovations in design, data collection, and collaboration ′It is not often I can use "accessible" and "phenomenology" in the same sentence, but reading the new book, Interpretative Phenomenological Analysis...certainly provides me the occasion to do so. I can say this because these authors provide an engaging and clear introduction to a relatively new analytical approach′ - The Weekly Qualitative Report

Theory, Method and Research

Interpretative Phenomenological Analysis

Undertaking qualitative research in psychology can seem like a daunting and complex process, especially when it comes to selecting the most appropriate approach for your project or assignment. This book, written and edited by a world-leading group of academics and researchers, offers an accessible, critical and practical way into qualitative research in psychology. Each chapter provides a detailed, step-by-step guide to using a qualitative research method – from Conversation Analysis or Focus Groups to Interpretative Phenomenological Analysis or Narrative Psychology. Whatever approach you choose to take, this book will ensure you get it right from the start. New to this Third Edition: A chapter on Thematic Analysis A section on how to choose and select the most appropriate method for your project

Jonathan A. Smith

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