Author: | Simon Watts, Professor Paul Stenner | ISBN: | 9781446290705 |
Publisher: | SAGE Publications | Publication: | March 19, 2012 |
Imprint: | SAGE Publications Ltd | Language: | English |
Author: | Simon Watts, Professor Paul Stenner |
ISBN: | 9781446290705 |
Publisher: | SAGE Publications |
Publication: | March 19, 2012 |
Imprint: | SAGE Publications Ltd |
Language: | English |
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.
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.