Fast psychophysical procedures for clinical testing

Phipps, Joanna A., Zele, Andrew J., Dang, Trung V., & Vingrys, Algis J. (2001) Fast psychophysical procedures for clinical testing. Clinical and Experimental Optometry, 84(5), pp. 264-269.

PDF (68kB)


Introduction: Psychophysical methods are used in clinical settings to obtain estimates of visual performance. Such methods should be fast and accurate, yet robust to the corrupting effects of false responses. Methods: In this paper, we develop these concepts and investigate the efficiency of two maximum likelihood methods (bestPEST and ZEST) for use in clinical applications. The performance of both methods will depend on whether a criterion-free paradigm (alternate forced choice) is adopted. Results: Our data show that the number of trials needed to obtain reliable thresholds with a yes/no paradigm can be as few as six to eight, provided no false responses are given within the first few trials. In addition, we show that the reliability and short-term variability of the endpoint of the methods is compatible with clinical applications. Conclusion: We show that a yes/no maximum likelihood method using a small number of presentations will yield reliable and accurate estimates of threshold in a clinical setting.

Impact and interest:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

717 since deposited on 04 May 2007
288 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 7481
Item Type: Journal Article
Refereed: Yes
ISSN: 0816-4622
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2001 Optometrists Association Australia
Copyright Statement: The contents of this journal from 1998 to 2005 can be freely accessed online via the journal’s web page (see link).
Deposited On: 04 May 2007 00:00
Last Modified: 12 Nov 2012 23:13

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page