Adaptive Psychophysical Procedures
Adaptive Psychophysical Procedures
Adaptive procedures are developed to reduce the burden of data collection in psychophysics by creating more efficient experimental test designs and methods of estimating either statistics or parameters. In some cases, these adaptive procedures may reduce the amount of testing by as much as 80% to 90%. This chapter begins with a description of classical staircase procedures for estimating the threshold and/or slope of the psychometric function, followed by a description of modern Bayesian adaptive methods for optimizing psychophysical tests. We introduce applications of Bayesian adaptive procedures for the estimation of psychophysically measured functions and surfaces. The bias, precision and efficiency of estimates is considered. Each method is accompanied by an illustrative example and sample results and a discussion of the practical requirements of the procedure.
Keywords: Adaptive testing, Bias, Precision, Efficiency, Adaptive threshold estimation, Staircase procedures, Bayesian adaptive methods, Psi, Quest, Quick methods
MIT Press Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
Please, subscribe or login to access full text content.
If you think you should have access to this title, please contact your librarian.
To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us.
