Interpretative Phenomenological Analysis: Theory, Method and Research
SAGE Publications Ltd
Watts and Stenner′s fresh, comprehensive introduction to Q methodology factor analysis and interpretation is consistently sensitive to the less-experienced researcher′s need for clear explanations and extensive supporting details. All Q researchers will value its range of practical tips and elaboration of important concepts
Amanda Wolf, Editor, Operant Subjectivity: The International Journal of Q Methodology
According to the Q community this is′ the book which they have been waiting for. To date, there lacked a book in which the simple and robust method is introduced. As a teacher and researcher, I am glad Watts and Stenner fill this gap with their book.[...]The content of Doing Q methodological research is divided into three parts, respectively into theory, method and interpretation. The book is peppered with examples and case studies and the authors give advice on very practical matters, such as conducting fieldwork, working with the participants and conducting good data management. This is a comprehensive, clear, ‘one-stop start’ to the method with some very useful chapter summaries and appendices. [...]Together with the all-important recommended free software package for the data analysis if you were thinking of taking this approach this would be a good place to begin. This book is a simple yet thorough introduction to Q methodology, a research technique designed to capture the subjective or first-person viewpoints of its participants. Watts and Stenner outline the key theoretical concepts developed by William Stephenson, the founder of Q methodology, including subjectivity, concourse theory and abduction. They then turn to the practicalities of delivering high quality Q methodological research.
Using worked examples throughout, the reader is guided through:
• important design issues
• the conduct of fieldwork
• all the analytic processes of Q methodology, including factor extraction, factor rotation and factor interpretation.
Drawing on helpful conceptual introductions to potentially difficult statistical concepts and a step-by-step guide to running Q methodological analyses using dedicated software, this book enables interested readers to design, manage, analyse, interpret and publish their own Q methodological research.