Published November 20, 2019 | Version v1
Journal article Open

Calculated avoidance: Math anxiety predicts math avoidance in effort-based decision-making

  • 1. University of Chicago
  • 2. Stanford University

Description

Math anxiety—negative feelings toward math—is hypothesized to be associated with the avoidance of math-related activities such as taking math courses and pursuing STEM careers. However, there is little experimental evidence for the math anxiety-avoidance link. Such evidence is important for formulating how to break this relationship. We hypothesize that math avoidance emerges when one perceives the costs of effortful math engagement to outweigh its benefits and that this perception depends on individual differences in math anxiety. To test this hypothesis, we developed an effort-based decision-making task in which participants chose between solving easy, low-reward problems and hard, high-reward problems in both math and nonmath contexts. Higher levels of math anxiety were associated with a tendency to select easier, low-reward problems over harder, high-reward math (but not word) problems. Addressing this robust math anxiety-avoidance link has the potential to increase interest and success in STEM fields.

Data availability

Deidentified data for all studies along with a code book and the data analysis scripts are posted at https://osf.io/t4wju/. The materials used in these studies are openly available at https://osf.io/t4wju/. All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. Additional data related to this paper may be requested from the authors.

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Additional details

Identifiers

DOI
10.1126/sciadv.aay1062
Other
oai:uchicago.tind.io:11020

Funding

National Science Foundation
DRL-0746970
National Science Foundation
BCS-1632445
National Science Foundation
GRFP-1144082/1746045
John Templeton Foundation
Institute of Education Sciences
R305C050076
National Science Foundation
SBE-0541957
National Science Foundation
SBE-104170

UChicago Information

Division(s)
Social Sciences Division
Department(s)
Psychology
Center(s) or Institute(s)
Grossman Center for Quantitative Biology and Human Behavior, Mansueto Institute for Urban Innovation