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      Numerosity Comparison, Estimation and Proportion Estimation Abilities May Predict Numeracy and Cognitive Reflection in Adults

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          Abstract

          This study explores whether and how different tasks associated with approximate number system (ANS) ability are related to numeracy and cognitive reflection in adults. We conducted an online experiment using a sample of 300 Japanese adults aged 20–39. Participants were given three ANS tasks (numerosity comparison, numerosity estimation, and proportion estimation) as well as Rasch-based numeracy scale and cognitive reflection test, and we tested the correlation among the measures of these tasks. We explored the hypothesis that the typical measures used to gauge ANS ability, numerosity comparison and numerosity estimation may mediate different cognitive mechanisms in adults. We also introduced a task measuring proportion estimation, added because such estimation requires numerosity perception and the ability to map symbolic numerals. Our findings suggest that there is a weak, but significant correlation among the three ANS-related tasks. Moreover, there is a significant relationship between each of these measures and the numeracy and CRT score, suggesting that the ANS-related ability may be associated with higher cognitive abilities such as numeracy and cognitive reflection. In addition, we found that performances on the numerosity and proportion estimation are more clearly related to CRT score than the numerosity comparison task.

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          Most cited references43

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          Cognitive Reflection and Decision Making

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            Dual-Process Theories of Higher Cognition: Advancing the Debate.

            Dual-process and dual-system theories in both cognitive and social psychology have been subjected to a number of recently published criticisms. However, they have been attacked as a category, incorrectly assuming there is a generic version that applies to all. We identify and respond to 5 main lines of argument made by such critics. We agree that some of these arguments have force against some of the theories in the literature but believe them to be overstated. We argue that the dual-processing distinction is supported by much recent evidence in cognitive science. Our preferred theoretical approach is one in which rapid autonomous processes (Type 1) are assumed to yield default responses unless intervened on by distinctive higher order reasoning processes (Type 2). What defines the difference is that Type 2 processing supports hypothetical thinking and load heavily on working memory. © The Author(s) 2013.
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              Selective review of cognitive aging.

              Research concerned with relations between adult age and cognitive functioning is briefly reviewed. The coverage is necessarily selective, and is organized in terms of five major questions. These are what abilities are related to age, how many distinct influences are contributing to the relations between age and cognitive functioning, do the differences between people increase with advancing age, what is responsible for the discrepancies between cross-sectional and longitudinal age comparisons of cognitive functioning, and what methods can be used to identify causes of age-related influences on cognition. Although definitive answers are not yet possible, quite a bit of information relevant to the questions is now available. Moreover, the existing information has implications for the design, analysis, and interpretation of cognitive and neuropsychological research concerned with aging.
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                Author and article information

                Contributors
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                23 November 2021
                2021
                : 15
                Affiliations
                [1] 1Faculty of Health Sciences, Mejiro University , Saitama, Japan
                [2] 2Graduate School of Environmental and Information Studies, Tokyo City University , Yokohama, Japan
                Author notes

                Edited by: Joonkoo Park, University of Massachusetts Amherst, United States

                Reviewed by: Giovanni Anobile, University of Florence, Italy; José Manuel Reales, National University of Distance Education (UNED), Spain

                *Correspondence: Midori Tokita, tokita@ 123456mejiro.ac.jp

                This article was submitted to Cognitive Neuroscience, a section of the journal Frontiers in Human Neuroscience

                Article
                10.3389/fnhum.2021.762344
                8651304
                34887737
                fa3d934b-936e-45b8-a6bb-760bdbf0e41c
                Copyright © 2021 Tokita and Hirota.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                Page count
                Figures: 3, Tables: 1, Equations: 0, References: 43, Pages: 8, Words: 6855
                Funding
                Funded by: Japan Society for the Promotion of Science, doi 10.13039/501100001691;
                Categories
                Human Neuroscience
                Brief Research Report

                Neurosciences
                numerosity comparison,numerosity estimation,proportion estimation,approximate number system,numeracy,cognitive reflection

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