U.S. Adult Math Anxiety and Fraction Performance Metacognitive Monitoring

A 2026 study by Samuel J. Pearl examines the relationship between math anxiety and metacognitive monitoring in U.S. adults performing fraction arithmetic. The dataset includes responses from 685 adults who completed a fraction task, pre- and post-task performance judgments, and reported their math anxiety and self-concept. Findings suggest adults with higher math anxiety had less accurate monitoring of their performance.

Use Cases

• Analyze the relationship between math anxiety and metacognitive accuracy based on pre- and post-task performance judgments.
• Model the impact of math self-concept on fraction arithmetic performance based on self-reported measures.
• Investigate the correlation between number-line estimation ability and fraction knowledge based on task results.
• Study patterns of underconfidence in adult learners based on the discrepancy between predicted and actual performance.

Strengths

• Includes a substantial sample of 685 U.S. adults.
• Combines behavioral task performance (fraction arithmetic) with self-reported psychological measures (math anxiety, self-concept).
• Explicitly examines metacognitive monitoring through pre- and post-task judgments.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the U.S.-only sample.

Provenance

Source

Samuel J. Pearl via figshare.

Collection Method

Likely collected via a research study involving surveys and cognitive tasks.

Freshness

Last updated 2026-05-07 05:42:52; freshness should be verified.

Geography

United States