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Charles J. Fitzsimmons; Pooja G. Sidney; Marta Mielicki; Lauren K. Schiller; Daniel A. Scheibe; Jennifer M. Taber; Percival G. Matthews; Erika A. Waters; Karin G. Coifman; Clarissa A. Thompson – Grantee Submission, 2023
Comparing health risks that include ratios of integers (e.g., 12 in 1,000) is challenging. We tested whether a worked-example intervention with number-line visual displays improved adults' risk-comparison accuracy, whether pretest confidence moderated learning, and which individual differences related to accuracy. Replicating prior work, U.S.…
Descriptors: Adult Literacy, Numeracy, Mathematics Skills, Health
Frank C. Butler; Deborah M. Mullen; Kathleen K. Wheatley – Journal of Education for Business, 2025
Anecdotal evidence suggests that students with quantitative business majors (e.g., finance, accounting, data analytics, economics) outperform students from less quantitatively rigorous majors (e.g., management, human resource management, marketing) on a business simulation game at a mid-sized, southeastern, public, AACSB accredited university. We…
Descriptors: Business Education, Majors (Students), Finance Occupations, Accounting
Charles J. Fitzsimmons; Lauren Woodbury; Jennifer M. Taber; Lauren K. Schiller; Marta K. Mielicki; Pooja G. Sidney; Karin G. Coifman; Clarissa A. Thompson – Grantee Submission, 2023
Health risks, when presented as ratios (e.g., two out of seven people), are challenging to understand, but visual displays can foster accurate understanding. We conducted three experiments to test how characteristics of numbers (Experiment 1), icon arrays (Experiments 1, 2, and 3), and number lines (Experiments 1 and 3) influenced people's ability…
Descriptors: Accuracy, Risk, Health, Visual Aids
Clarissa A. Thompson; Jennifer M. Taber; Pooja G. Sidney; Charles J. Fitzsimmons; Marta K. Mielicki; Percival G. Matthews; Erika A. Schemmel; Nicolle Simonovic; Jeremy L. Foust; Pallavi Aurora; David J. Disabato; T. H. Stanley Seah; Lauren K. Schiller; Karin G. Coifman – Grantee Submission, 2021
At the onset of the coronavirus disease (COVID-19) global pandemic, our interdisciplinary team hypothesized that a mathematical misconception--whole number bias (WNB)--contributed to beliefs that COVID-19 was less fatal than the flu. We created a brief online educational intervention for adults, leveraging evidence-based cognitive science…
Descriptors: COVID-19, Pandemics, Cognitive Processes, Logical Thinking