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Autor/inn/enLandy, David; Silbert, Noah; Goldin, Aleah
TitelEstimating Large Numbers
QuelleIn: Cognitive Science, 37 (2013) 5, S.775-799 (25 Seiten)
PDF als Volltext Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0364-0213
DOI10.1111/cogs.12028
SchlagwörterNumbers; Computation; Adults; Models; Misconceptions; Cognitive Processes; Bayesian Statistics; Virginia
AbstractDespite their importance in public discourse, numbers in the range of 1 million to 1 trillion are notoriously difficult to understand. We examine magnitude estimation by adult Americans when placing large numbers on a number line and when qualitatively evaluating descriptions of imaginary geopolitical scenarios. Prior theoretical conceptions predict a log-to-linear shift: People will either place numbers linearly or will place numbers according to a compressive logarithmic or power-shaped function (Barth & Paladino, 2011; Siegler & Opfer, 2003). While about half of people did estimate numbers linearly over this range, nearly all the remaining participants placed "1 million" approximately halfway between "1 thousand" and "1 billion," but placed numbers linearly across each half, as though they believed that the number words "thousand, million, billion, trillion" constitute a uniformly spaced count list. Participants in this group also tended to be optimistic in evaluations of largely ineffective political strategies, relative to linear number-line placers. The results indicate that the surface structure of number words can heavily influence processes for dealing with numbers in this range, and it can amplify the possibility that analogous surface regularities are partially responsible for parallel phenomena in children. In addition, these results have direct implications for lawmakers and scientists hoping to communicate effectively with the public. (Contains 3 notes, 2 tables, and 8 figures.) (As Provided).
AnmerkungenWiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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