Math predictors of numeric health and non-health decision-making problems

Clarissa A. Thompson, Jennifer M. Taber, Charles J. Fitzsimmons, Pooja G. Sidney

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

People frequently encounter numeric information in medical and health contexts. In this paper, we investigated the math factors that are associated with decision-making accuracy in health and non-health contexts. This is an important endeavor given that there is relatively little cross-talk between math cognition researchers and those studying health decision making. Ninety adults (M = 37 years; 86% White; 51% male) answered hypothetical health decision-making problems, and 93 adults (M = 36 years; 75% White; 42% males) answered a non-health decision-making problem. All participants were recruited from an online panel. Each participant completed a battery of tasks involving objective math skills (e.g., whole number and fraction estimation, comparison, arithmetic fluency, objective numeracy, etc.) and subjective ratings of their math attitudes, anxiety, and subjective numeracy. In separate regression models, we identified which objective and subjective math measures were associated with health and non-health decision-making accuracy. Magnitude comparison accuracy, multi-step arithmetic accuracy, and math anxiety accounted for significant variance in health decision-making accuracy, whereas attention to math, as illustrated in open-ended strategy reports, was the only significant predictor of non-health decision-making accuracy. Importantly, reliable and valid measures from the math cognition literature were more strongly related to health decision-making accuracy than were commonly used subjective and objective measures of numeracy. These results have a practical implication: Understanding the math factors that are associated with health decision-making performance could inform future interventions to enhance comprehension of numeric health information.

Original languageEnglish
Pages (from-to)221-239
Number of pages19
JournalJournal of Numerical Cognition
Volume7
Issue number2
DOIs
StatePublished - 2021

Bibliographical note

Funding Information:
Funding: The writing of this report was supported in part by U.S. Department of Education, Institute of Education Sciences Grant # R305A160295 and

Publisher Copyright:
© 2021, PsychOpen. All rights reserved.

Keywords

  • Health decision making
  • Numeracy
  • Rational number understanding
  • Risk
  • Strategy reports

ASJC Scopus subject areas

  • Numerical Analysis
  • Experimental and Cognitive Psychology
  • Applied Mathematics

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