Additional rules for the transformed up-down method in psychophysics
- 1 January 1996
- journal article
- Published by Springer Nature in Perception & Psychophysics
- Vol. 58 (6) , 959-962
- https://doi.org/10.3758/bf03205497
Abstract
In a classic paper, Levitt (1971) described an adaptive procedure for estimating points on the psychometric function known as thetransformed up-down method. Levitt discussed the assumptions of the method and presented a brief table with simple rules that converge to a few different points on the psychometric function. Levitt’s original table contains only the simplest rules, and sparsely covers the range of the psychometric function. This paper provides a table with previously unpublished rules which cover the range of the psychometric function at 5% intervals. There is a brief review of the major issues in adaptive testing. Technical issues such as the mean length and logical construction of the new rules are discussed.Keywords
This publication has 15 references indexed in Scilit:
- Simple adaptive testing with the weighted up-down methodPerception & Psychophysics, 1991
- A single-interval adjustment-matrix (SIAM) procedure for unbiased adaptive testingThe Journal of the Acoustical Society of America, 1990
- Stimulus selection in adaptive psychophysical proceduresThe Journal of the Acoustical Society of America, 1990
- Statistical properties of staircase estimates from two interval forced choice experimentsBritish Journal of Mathematical and Statistical Psychology, 1985
- Quest: A Bayesian adaptive psychometric methodPerception & Psychophysics, 1983
- Transformed Up-Down Methods in PsychoacousticsThe Journal of the Acoustical Society of America, 1971
- Statistical properties of staircase estimatesPerception & Psychophysics, 1970
- PEST: Efficient Estimates on Probability FunctionsThe Journal of the Acoustical Society of America, 1967
- The Staircase-Method in PsychophysicsThe American Journal of Psychology, 1962
- A Method for Obtaining and Analyzing Sensitivity DataJournal of the American Statistical Association, 1948