Comparison dimensions and similarity: Addressing individual heterogeneity

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Pavel Jelnov

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Externe Organisationen

  • Forschungsinstitut zur Zukunft der Arbeit (IZA)
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Details

OriginalspracheEnglisch
Seiten (von - bis)141-149
Seitenumfang9
FachzeitschriftJournal of Neuroscience, Psychology, and Economics
Jahrgang13
Ausgabenummer3
PublikationsstatusVeröffentlicht - Sept. 2020

Abstract

How many comparison dimensions do individuals consider when they are asked to make similarity judgments? I addressed individual heterogeneity in the number of comparison dimensions with data from a laboratory experiment. I used multidimensional scaling to estimate the number of dimensions on the individual level. I found that the number of dimensions varies across subjects and that the mean number of dimensions in real data is significantly lower than the mean number of dimensions in randomly simulated data. Moreover, I found that the number of dimensions is correlated with judgment time and with propensity to make nonmonotonic judgments. However, there is no direct relationship between the number of dimensions considered by participants and their perception of the average similarity between stimuli. In summary, I found evidence that indicates analytical similarity judgment based on a relatively low number of dimensions.

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Comparison dimensions and similarity: Addressing individual heterogeneity. / Jelnov, Pavel.
in: Journal of Neuroscience, Psychology, and Economics, Jahrgang 13, Nr. 3, 09.2020, S. 141-149.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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