Anova For The Behavioural Sciences Researcher

The authors have endeavoured to put together their own theoretical and practical guide to analysis of variance (ANOVA) for the use of students and researchers who have not had a formal course in this technique, but nevertheless require to employ this form of analysis as part of their research.

From their experience in teaching this material and applying it to research problems, the authors have created a summary of the statistical theory underlying ANOVA, together with important issues, guidance, practical methods, references, and hints about using statistical software. These have been organized so that the student can learn the logic of the analytical techniques but also use the book as a reference guide to experimental designs, realizing along the way what pitfalls are likely to be encountered.

Rudolf Cardinal was born in Norwich in 1975. He received a B.A. with first-class honors in medical sciences and neuroscience (1993–1996), M.B. and BChir degrees in clinical medicine and surgery (1996–2001), and a Ph.D. in behavioural neuroscience (1997–2000), all from the University of Cambridge. He has worked as a house physician and surgeon in Cambridge and Norwich (2001–2002) and then as a lecturer in neuroscience in the Department of Experimental Psychology, University of Cambridge (2002–2005), conducting neuroscience research and teaching in neuroscience, psychology, and statistics. His interests within neuroscience include the neural mechanisms of emotion, perception, cognition, and the control of behaviour; reinforcement and reinforcement learning; the nature and neural basis of consciousness; normative decision-making and probability; and artificial intelligence. He is currently a clinical fellow at Addenbrooke’s Hospital, Cambridge.?
Mike Aitken was born in Cheltenham in 1970. He is currently a Department Lecturer based at the MRC/Wellcome Behavioural and Clinical Neurosciences Institute within the Department of Experimental Psychology at the University of Cambridge (where he completed both his undergraduate degree and Ph.D.). His research interests include associative theory of categorization and causal induction, functional neuroimaging of associative learning processes, and mechanisms of self-control and response selection.