Year

2025

Season

Spring

Paper Type

Master's Thesis

College

College of Arts and Sciences

Degree Name

Master of Science in Psychological Science (MSPS)

Department

Psychological and Brain Sciences

NACO controlled Corporate Body

University of North Florida. Department of Psychological and Brain Sciences

Committee Chairperson

Dr. Charles Fitzsimmons

Second Advisor

Dr. Lisa Byrge

Department Chair

Dr. Lori Lange

College Dean

Dr. Kaveri Subrahmanyam

Abstract

Fraction understanding is crucial for success in math, but fractions tend to be difficult for people to understand. One source of difficulty in understanding fractions is whole number bias: the incorrect application of whole-number rules during fraction reasoning. However, people do not always make consistent whole number bias errors, which suggests that contextual and individual factors may influence people’s fraction reasoning. In the current study, we tested whether recent experiences with whole numbers, prior knowledge of fraction equivalence, and individual differences in math anxiety and math attitudes influenced whether adults make whole number bias errors during fraction number-line estimation. A sample of 244 adults estimated equivalent small- (e.g., 1/2) and large-component (e.g., 15/30) fractions on number lines. We randomly assigned adults to different priming conditions where they estimated whole numbers that were either proportionally equivalent to the target fraction (e.g., 15 on a 0-30 number line::15/30 on a 0-1 number line) or when they were not (e.g., 15 on a 0-21 line) and compared whole number bias between priming conditions and relative to a no-priming control group. As expected, we found that whole number bias errors were more prevalent in the non-proportional condition compared to the proportional and control conditions. We also found that whole number bias was more likely when people had higher math anxiety in the non-proportional prime condition, but equivalence knowledge and math attitudes were unrelated to whole number bias errors. Our results suggest that recent experiences can sometimes increase adults’ whole number bias errors.

Available for download on Wednesday, April 24, 2030

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