The new unbounded number line estimation task: A systematic literature review.
Estimation biases
Representation of number magnitude
Representational shift
Systematic literature review
Unbounded number line estimation task
Journal
Acta psychologica
ISSN: 1873-6297
Titre abrégé: Acta Psychol (Amst)
Pays: Netherlands
ID NLM: 0370366
Informations de publication
Date de publication:
Sep 2021
Sep 2021
Historique:
received:
04
03
2021
revised:
01
06
2021
accepted:
06
07
2021
pubmed:
3
8
2021
medline:
8
9
2021
entrez:
2
8
2021
Statut:
ppublish
Résumé
In 2011, Cohen and Blanc-Goldhammer introduced a new unbounded version of the number line estimation task which they argued to overcome limitations of its 'traditional' bounded counterpart. In line with this proposition, there is increasing evidence that the unbounded number line estimation task may indeed reflect a purer measure of the underlying representation of number magnitude. However, only few studies used this task version yet. In the present literature review, we aimed at evaluating all studies employing the unbounded task version so far to provide an overview of the current state of research. To identify all relevant articles and to evaluate the validity of the task, we conducted a systematic literature search in different databases following the PRISMA guidelines in May 2021. Methodological differences and commonalities of the 16 studies that met the inclusion criteria are discussed here. Our evaluation indicated considerable differences between studies with respect to the number range covered or methodological features such as display size. Additionally, five studies observed evidence for estimation biases in the unbounded task as well. Nevertheless, this review also substantiated the claim that the unbounded task version might indeed be a more valid and purer measure of the mental representation of number magnitude as the results of 14 studies confirmed this hypothesis.
Identifiants
pubmed: 34339926
pii: S0001-6918(21)00116-5
doi: 10.1016/j.actpsy.2021.103366
pii:
doi:
Types de publication
Journal Article
Review
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
103366Informations de copyright
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.