Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-10188
Authors: Imhoff, Roland
Barker, Paul
Title: Connecting the dots : Nonlinear patterns in the presence of symbolic and nonsymbolic numerical standards
Online publication date: 13-Mar-2024
Year of first publication: 2023
Language: english
Abstract: Much like other social and nonsocial evaluations, estimates of numerical quantities are susceptible to comparative influences. However, numerical representations can take either a nonsymbolic (e.g., a grouping of dots) or a symbolic numerical form (e.g., Hindu–Arabic numerals), which each produce comparative biases in opposite directions. The current work takes a fine-grained curve fitting approach across a wide range of values to the investigation of their potential nonlinear influence in the context of a numerical estimation task. A series of 3 experiments (N = 1,613) showed how nonsymbolic standards produce linear contrastive patterns (Study 1), whereas symbolic numerical anchors show a cubic assimilative effect with a leveling off in strength for more extreme standards (Study 2). Sequential contrast from the previous patterns and assimilation to the previous response were found to be present and additive in the presence of both representations but were larger in absence of the symbolic numerical anchors (Study 3).
DDC: 150 Psychologie
150 Psychology
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 02 Sozialwiss., Medien u. Sport
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-10188
Version: Published version
Publication type: Zeitschriftenaufsatz
Document type specification: Scientific article
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: Judgment and decision making
19
Pages or article number: e34
Publisher: Cambridge University Press
Publisher place: Cambridge
Issue date: 2023
ISSN: 1930-2975
Publisher DOI: 10.1017/jdm.2023.31
Appears in collections:DFG-491381577-H

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