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Article . 2022
License: CC BY
Data sources: Datacite
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Evidence that numerical estimates of subjective ratios may be numerical ratings of subjective differences

Authors: Masin, Sergio Cesare;

Evidence that numerical estimates of subjective ratios may be numerical ratings of subjective differences

Abstract

The hypothesis that people can make non-learned numerical estimates of ratios of subjective magnitude is still unverified after over more than a century of research. Participants were asked to numerically estimate brightness ratios of pairs of surfaces whose luminances were combined factorially. With one luminance in a pair as the parameter, the ability to estimate ratios numerically predicts that the plotting of numerical estimates against the other luminance yields diverging curves that increase in height with the range of luminances. The present study found that statistically such curves were parallel and their height was constant with luminance range. These results support the hypothesis that people numerically rate subjective differences while they are performing the task to numerically estimate subjective ratios. Implications for theory and practice are discussed.

Peer reviewed

Country
Spain
Keywords

Numerical estimation, Information integration theory, Subjective ratios, Numerical rating

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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