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Erschienen in: Cognitive Processing 1/2021

06.10.2020 | Research Article

Mastery of structured quantities like finger or dice patterns predict arithmetic performance

verfasst von: Isabella Luise Kreilinger, Stephanie Roesch, Korbinian Moeller, Silvia Pixner

Erschienen in: Cognitive Processing | Ausgabe 1/2021

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Abstract

In the present study, we investigated whether structured quantities like finger or dice patterns are enumerated better than unstructured quantities because they may not require counting. Moreover, we hypothesized children’s mastery of structured quantities to predict their later arithmetic performance longitudinally. In particular, we expected that children more proficient in enumerating structured quantities early in their numerical development, should develop more effective calculation strategies later because they may rely on counting less. Therefore, we conducted a longitudinal study (including 116 children, 58 girls) over the course of about 7 months from preschool (at about 6 years of age) to the middle of first grade. Results showed that structured quantities were indeed enumerated more accurately and faster than unstructured quantities in preschool. Additionally, we observed significant associations of enumeration of structured and unstructured with children’s addition performance in first grade. However, regression analysis indicated only enumeration of structured but not unstructured quantities to significantly predict later addition performance. In sum, this longitudinal study clearly indicates that mastery of structured quantities seems to be beneficial for children’s development of basic arithmetic abilities.

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Fußnoten
1
Please note, that due to technical problems (reaction times were not recorded on one out of three computers used for testing), reaction times were only available for a sub-sample of 90 children.
 
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Metadaten
Titel
Mastery of structured quantities like finger or dice patterns predict arithmetic performance
verfasst von
Isabella Luise Kreilinger
Stephanie Roesch
Korbinian Moeller
Silvia Pixner
Publikationsdatum
06.10.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Cognitive Processing / Ausgabe 1/2021
Print ISSN: 1612-4782
Elektronische ISSN: 1612-4790
DOI
https://doi.org/10.1007/s10339-020-00994-4

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