Psychophysics: A Practical Application is a single-volume text that covers the rudimentary principles of psychophysical methods and the practical tools that are important for processing data from psychophysical experiments and tests. It makes complicated concepts and procedures understandable for beginners and non-experts in psychophysics. The book includes a wide array of analytical techniques, such as novel classification schemes for psychophysics experiments; new software packages for collecting and processing psychophysical data; practical tips for designing psychophysical experiments; and the advantages and disadvantages of the different psychophysical methods. The first chapters of the book present the fundamental concepts and terminology of psychophysics, and they familiarize readers with available psychophysical techniques. The remaining chapters discuss a series of topics, such as psychometric functions, adaptive procedures, signal detection measures, scaling methods, and statistical model comparisons. The book serves as an invaluable source of information about psychophysics for researchers and optometrists, as well as for psychology and neuroscience students, on both the graduate and undergraduate level.
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science Publishing Co Inc
Zielgruppe
Für höhere Schule und Studium
Researchers, graduate students, and post-doctorates in perception research in neuroscience, psychology, cognition; optometrists.
Maße
Höhe: 235 mm
Breite: 191 mm
Gewicht
ISBN-13
978-0-12-373656-7 (9780123736567)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Fred Kingdom is a Professor at McGill University conducting research into a variety of aspects of visual perception. He studied and held research positions at Cambridge, London and Reading Universities before taking up his current position at McGill in 1990. He has published over 125 articles, and recently won an award for a new visual illusion. Nick Prins is an Associate Professor at the University of Mississippi specializing in a variety of aspects of visual perception and the use of statistical methods in the collection and analysis of psychophysical data. He has held research positions in Australia and Canada before taking up his current position at the University of Mississippi.
Autor*in
Department of Opthalmology, McGill Vision Research, Montreal, QC, Canada
Department of Psychology, University of Mississippi, University, MS, USA
Ch. 1. Introduction and aims
Ch. 2. Classifying psychophysical experiments
Ch. 3. Varieties of psychophysical procedure
Ch. 4. Psychometric functions
Ch. 5. Adaptive methods
Ch. 6. Signal detection measures
Ch. 7. Scaling methods
Ch. 8. Model comparisons
Quick reference guide
