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Autor/inn/enCohen, Dale J.; Ray, Austin
TitelExperimental Bias in Number-Line Tasks and How to Avoid Them: Comment on Kim and Opfer (2017) and the Introduction of the Cohen Ray Number-Line Task
QuelleIn: Developmental Psychology, 56 (2020) 4, S.846-852 (7 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Cohen, Dale J.)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0012-1649
DOI10.1037/dev0000761
SchlagwörterBias; Numbers; Responses; Children; Influences; Data
AbstractKim and Opfer (2017) report data that demonstrate children produce a negatively accelerating (e.g., logarithmic) response pattern in the unbounded number-line task. This pattern of results is the opposite of those generally reported for the unbounded number-line task (e.g., Cohen & Blanc-Goldhammer, 2011; Cohen & Sarnecka, 2014). We believe Kim and Opfer's (2017) experimental procedure inadvertently biased participants' data in the unbounded task. Here, we (a) outline the factors that induce experimental bias in computerized number-line tasks, (b) identify the likely source of experimental bias in Kim and Opfer (2017) that led to the negatively accelerating pattern of data, (c) introduce a new number-line variation (the universal number-line task), and (d) introduce a publicly available, open source number-line task that provides researchers with a simple, robust, and correct method for collecting data on the unbounded, bounded, and universal number-line tasks. We conclude that Kim and Opfer's (2017) implementation of the unbounded number-line is biased, and therefore cannot provide meaningful support for the log-to-linear shift hypothesis. [For the original article, "A Unified Framework for Bounded and Unbounded Numerical Estimation," see EJ1142527.] (As Provided).
AnmerkungenAmerican Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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