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Doing Q Methodological Research : Theory, Method & Interpretation - Simon Watts

Doing Q Methodological Research

Theory, Method & Interpretation

By: Simon Watts, Paul Stenner

Paperback | 19 January 2012

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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.

Industry Reviews
This is the book the Q community has been waiting for! Aspirational Q researchers will find it a comprehensive, balanced and thorough guide, taking them systematically from refining their research question(s) to publishing their first Q methodological study Wendy Stainton Rogers Professor Emerita, The Open University 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. -- Susan Jedeloo 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. -- Dr Ron Iphofen,

Other Editions and Formats

Hardcover

Published: 19th March 2012

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