Measuring the Approximate Number System

Recent theories in numerical cognition suggest that humans are equipped with a mental system that supports the representation and processing of symbolic and nonsymbolic magnitudes, called the Approximate Number System (ANS). Prior research also suggests that the acuity of the ANS can predict individ...

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Main Author: Sabri, Jomard
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för psykologi 2012
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202256
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spelling ndltd-UPSALLA1-oai-DiVA.org-uu-2022562016-09-02T05:13:30ZMeasuring the Approximate Number SystemengSabri, JomardUppsala universitet, Institutionen för psykologi2012Approximate number systemmathematical abilitymethodological inconsistenciesRecent theories in numerical cognition suggest that humans are equipped with a mental system that supports the representation and processing of symbolic and nonsymbolic magnitudes, called the Approximate Number System (ANS). Prior research also suggests that the acuity of the ANS can predict individuals’ mathematical ability. However, results from research within the field has proven to be inconsistent with one another which raises questions about the reliability and validity of methods used to measure the ANS. The present study attempts to replicate the results found in studies suggesting that ANS acuity correlates with mathematical ability. The study also investigates the reliability and validity of different task that have been used to measure the ANS, and also presents a new method of measuring the ANS with an adaptive method. The results show that two tasks correlate significantly with mathematical ability, and multiple regression analyses show that ANS acuity can predict mathematical ability when controlling for general intelligence. Furthermore, the results also further highlight the issue of methodological flaws in previous studies. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202256application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Approximate number system
mathematical ability
methodological inconsistencies
spellingShingle Approximate number system
mathematical ability
methodological inconsistencies
Sabri, Jomard
Measuring the Approximate Number System
description Recent theories in numerical cognition suggest that humans are equipped with a mental system that supports the representation and processing of symbolic and nonsymbolic magnitudes, called the Approximate Number System (ANS). Prior research also suggests that the acuity of the ANS can predict individuals’ mathematical ability. However, results from research within the field has proven to be inconsistent with one another which raises questions about the reliability and validity of methods used to measure the ANS. The present study attempts to replicate the results found in studies suggesting that ANS acuity correlates with mathematical ability. The study also investigates the reliability and validity of different task that have been used to measure the ANS, and also presents a new method of measuring the ANS with an adaptive method. The results show that two tasks correlate significantly with mathematical ability, and multiple regression analyses show that ANS acuity can predict mathematical ability when controlling for general intelligence. Furthermore, the results also further highlight the issue of methodological flaws in previous studies.
author Sabri, Jomard
author_facet Sabri, Jomard
author_sort Sabri, Jomard
title Measuring the Approximate Number System
title_short Measuring the Approximate Number System
title_full Measuring the Approximate Number System
title_fullStr Measuring the Approximate Number System
title_full_unstemmed Measuring the Approximate Number System
title_sort measuring the approximate number system
publisher Uppsala universitet, Institutionen för psykologi
publishDate 2012
url http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202256
work_keys_str_mv AT sabrijomard measuringtheapproximatenumbersystem
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