Description
Psychophysics (2nd Ed.)
A Practical Introduction
Authors: Kingdom Frederick A.A., Prins Nicolaas
Language: English
Subjects for Psychophysics:
Keywords
1AFC; 2AFC; Adaptive testing; Additive noise; Additive summation; Akaike information criterion; Bayes Factor; Bayesian fitting; Bayesian information criterion; Bootstrapping; Class A versus Class B; Detection; Dipper functions; Discrimination scales; Discrimination; D-prime; Fixed Attention Window; Forced-choice methods; Forced-choice tasks; Forced-choice; Goodness-of-fit; High-threshold theory; Identification; Lapse rate; Likelihood ratio test; Linear summation; MAFC; Matched Attention Window; Matching procedures; Match-to-sample tasks; Match-to-sample; Maximum likelihood fitting; Maximum-likelihood-difference-scaling; Method of adjustment; Method of constants; Method of paired comparisons; Method of quadruples; Method of triads; Minkowski summation; Model comparison; Multiplicative noise; Nulling procedures; Oddity tasks; Oddity; Palamedes; Partition scales; Scaling methods; Performance versus appearance; Probability summation; Psi-marginal method; Psi-method; Psychometric function; Psychophysics classification; Psychophysics data analysis; Psychophysics; p-value; qCSF; Quest; Quick pooling model; Recognition; Reparameterization; Same-different tasks; Same-different; Scaling methods; Signal detection theory; Significance testing; Summation; Transducer function; Transducer functions; Type 1 versus Type 2; Up/down method
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the book of Kingdom Frederick A.A., Prins Nicolaas
346 p. · 19x23.3 cm · Hardback
Description
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Psychophysics: A Practical Introduction, Second Edition, is the primary scientific tool for understanding how the physical world of colors, sounds, odors, movements, and shapes translates into the sensory world of sight, hearing, touch, taste, and smell; in other words, how matter translates into mind.
This timely revision provides a unique introduction to the techniques for researching and understanding how the brain translates the external physical world to the internal world of sensation. The revision expands and refines coverage of the basic tools of psychophysics research and better integrates the theory with the supporting software.
The new edition continues to be the only book to combine, in a single volume, the principles underlying the science of psychophysical measurement and the practical tools necessary to analyze data from psychophysical experiments. The book, written in a tutorial style, will appeal to new researchers as well as to seasoned veterans. This introduction to psychophysics research methods will be of interest to students, scholars and researchers within sensory neuroscience, vision research, behavioral neuroscience, and the cognitive sciences.
1. Introduction and Aims
2. Classifying Psychophysical Experiments
3. Varieties of Psychophysical Procedure
4. Psychometric functions
5. Adaptive procedures
6. Signal Detection Measures
7. Summation measures
8. Scaling Methods
9. Model Comparisons
Quick Reference Guide
Acronyms
Researchers, graduate students, and post-doctorates in perception research in neuroscience, psychology, cognition; optometrists.
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.
- Presents a large variety of analytical methods explained for the non-expert
- Provides a novel classification scheme for psychophysics experiments
- Disseminates the pros and cons of different psychophysical procedures
- Contains practical tips for designing psychophysical experiments
