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Author:   Pat Dugard (Dundee University, UK) ,  Portia File (University of Abertay, Dundee, UK) ,  Jonathan Todman
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Edition:   2nd edition
Dimensions:   Width: 15.20cm , Height: 1.80cm , Length: 22.90cm
Weight:   0.430kg
ISBN:  

9780415886932

ISBN 10:   0415886937
Pages:   304
Publication Date:   27 October 2011
Audience:   College/higher education ,  College/higher education ,  Tertiary & Higher Education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Reviews

I'm very excited about this book. ... it has very clear applicability to the mental health and educational settings. ...The authors ! bring up the issues that I've found [students] to struggle with. ... This text will align well with NIH's and NIMH's move towards translational research and focus on evidenced-based treatment validity. ...The authors have an incredibly clear, thoughtful writing style. ... This text will bridge the gap between required course content and the reality that students will face in the field. ... I plan to buy it, use it in my class, and tell everyone I can about it. - Marie S. Hammond, Tennessee State University, USA The text ... fills a gap in the scholarly literature desperately needed in the behavior analytic scientific community. ... [There] are no directly competing texts that go into such depth ! for single-subject research designs as they are used specifically within clinical psychology and behavior analysis. ... [It is] an invaluable ! reference. I would ! consider the book for adoption in my Research Methods in Behavior Analysis course ... [and] for ... my students completing their Master-level thesis projects. -- Michele Ennis Soreth, Rowan University, USA The writing style is clear and cogent. ! I could use this in Single Case Research Methods [taken by] Masters' and Doctoral Students. - Kimberly J. Vannest, Texas A & M University, USA

This new edition provides an excellent treatment of both the design and the analysis of single-case and small-n designs. It emphasizes the importance of matching the design to the analysis, and uses the many strengths of randomization tests to overcome problems with standard parametric procedures applied to small-sample studies. - David C. Howell, University of Vermont, USA This book provides statistical methods appropriate for small n studies--studies that may be messy, exploratory, and fail many of the assumptions of classical methods. A must-read for researchers conducting field research in educational and training environments. - Gregory K.W.K. Chung, UCLA/CRESST, USA Although we have known for many years that single case experimental designs are essential for the evaluation of an individual's response to treatment, most of us do not employ randomization strategies when planning this treatment. We need to change and this book will enable us to do just that. I urge all clinical and neuro psychologists interested in treating patients to purchase this book. - Barbara A Wilson, Oliver Zangwill Centre, Ely, UK I'm very excited about this book. ... The authors ! bring up the issues that I've found [students] to struggle with. ... This text will align well with NIH's and NIMH's move towards translational research and focus on evidenced-based treatment validity. ...The authors have an incredibly clear, thoughtful writing style. ... This text will bridge the gap between required course content and the reality that students will face in the field. ... I plan to buy it, use it in my class, and tell everyone I can about it. - Marie S. Hammond, Tennessee State University, USA The text ... fills a gap in the scholarly literature desperately needed in the behavior analytic scientific community. ... [There] are no directly competing texts that go into such depth ! for single-subject research designs as they are used specifically within clinical psychology and behavior analysis. ... [It is] an invaluable ! reference. -- Michele Ennis Soreth, Rowan University, USA

"""This new edition provides an excellent treatment of both the design and the analysis of single-case and small-n designs. It emphasizes the importance of matching the design to the analysis, and uses the many strengths of randomization tests to overcome problems with standard parametric procedures applied to small-sample studies."" - David C. Howell, University of Vermont, USA ""This book provides statistical methods appropriate for small n studies--studies that may be messy, exploratory, and fail many of the assumptions of classical methods. A must-read for researchers conducting field research in educational and training environments."" - Gregory K.W.K. Chung, UCLA/CRESST, USA ""Although we have known for many years that single case experimental designs are essential for the evaluation of an individual's response to treatment, most of us do not employ randomization strategies when planning this treatment. We need to change and this book will enable us to do just that. I urge all clinical and neuro psychologists interested in treating patients to purchase this book."" - Barbara A Wilson, Oliver Zangwill Centre, Ely, UK ""I'm very excited about this book. ... The authors ! bring up the issues that I've found [students] to struggle with. ... This text will align well with NIH's and NIMH's move towards translational research and focus on evidenced-based treatment validity. ...The authors have an incredibly clear, thoughtful writing style. ... This text will ""bridge the gap"" between required course content and the reality that students will face in the field. ... I plan to buy it, use it in my class, and tell everyone I can about it."" - Marie S. Hammond, Tennessee State University, USA ""The text ... fills a gap in the scholarly literature desperately needed in the behavior analytic scientific community. ... [There] are no directly competing texts that go into such depth ! for single-subject research designs as they are used specifically within clinical psychology and behavior analysis. ... [It is] an invaluable ! reference."" -- Michele Ennis Soreth, Rowan University, USA"

Author Information

Pat Dugard taught statistics at the University of Abertay Dundee until 1999 and has also taught courses at the Open University. She now concentrates on writing. She received her PGDip in Mathematical Statistics from the University of Cambridge. Portia File is a psychologist and computer scientist experienced in teaching university courses on research methods. She taught at University of Abertay Dundee from 1983 until 2007. She received her PhD in Cognitive Psychology from the University of Texas at Austin in 1975. Jonathan Todman is a Clinical Psychologist in the Pain Management Programme at NHS Greater Glasgow and Clyde in Glasgow, Scotland. He received his Clinical Psychology Doctorate from Edinburgh in 2010.

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