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Task Features Change the Relation between Math Anxiety and Number Line Estimation Performance with Rational Numbers: Two Large-Scale Online Studies

Authors :
Marta K. Mielicki
Eric D. Wilkey
Daniel A. Scheibe
Charles J. Fitzsimmons
Pooja G. Sidney
Elien Bellon
Andrew D. Ribner
Mojtaba Soltanlou
Isabella Starling-Alves
Ilse Coolen
Daniel Ansari
Clarissa A. Thompson
Source :
Grantee Submission. 2023.
Publication Year :
2023

Abstract

Math performance is negatively related to math anxiety (MA), though MA may impact certain math skills more than others. We investigated whether the relation between MA and math performance is affected by task features, such as number type (e.g., fractions, whole numbers, percentages), number format (symbolic vs. nonsymbolic), and ratio component size (small vs. large). Across two large-scale studies (combined n = 3,822), the MA-performance relation was strongest for large whole numbers and fractions, and stronger for symbolic than nonsymbolic fractions. The MA-performance relation was also stronger for smaller relative to larger components, and MA relating to specific number types may be a better predictor of performance than general MA for certain tasks. The relation between MA and estimation performance changes depending on task features, which suggests that MA may relate to certain math skills more than others, which may have implications for how people reason with numerical information and may inform future interventions. [This article was published in "Journal of Experimental Psychology: General" v152 n7 p2094-2117 2023.]

Details

Language :
English
Database :
ERIC
Journal :
Grantee Submission
Notes :
https://osf.io/e6pgh
Publication Type :
Report
Accession number :
ED639237
Document Type :
Reports - Research
Full Text :
https://doi.org/10.1037/xge0001382