Westland, S, Li, Y and Cheung, V (2014) Monte Carlo analysis of incomplete paired-comparison experiments. Journal of Imaging Science and Technology, 58 (5). 50506-1-50506-6. ISSN 1062-3701
Abstract
The use of paired-comparison psychophysical experiments is an important technique that is used widely in imaging studies. It is sometimes difficult to compare every stimulus with every other; the number of paired comparisons for n stimuli becomes prohibitive for large values of n. Thus, experiments are often designed by missing some pairs. However, the effect on the accuracy of the estimations of the scale values is not clear. Similarly, if more resources are available, would it be better to recruit more observers making the same paired comparisons or to have the original observers carry out additional paired comparisons? This work seeks to develop a framework for addressing these practical questions surrounding incomplete pairedcomparison experiments design. A Monte-Carlo computational simulation is carried out with an ideal observer model. Results suggest that the proportion of paired comparisons is more critical than the number of observers with small number of stimuli.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a paper published in Journal of Imaging Science and Technology. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Mar 2015 16:30 |
Last Modified: | 16 Jan 2018 11:16 |
Published Version: | http://dx.doi.org/10.2352/J.ImagingSci.Technol.201... |
Status: | Published |
Publisher: | Society for Imaging Sciences and Technology |
Identification Number: | 10.2352/J.ImagingSci.Technol.2014.58.5.050506 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:83595 |