Form perception is a cognitive correlate of the relation between subitizing ability and math performance

Area of Science:

• Cognitive Psychology
• Developmental Psychology
• Educational Psychology

Background:

• Subitizing, the rapid and accurate perception of small quantities (approx. 4 items), is strongly linked to mathematical performance.
• The underlying cognitive mechanisms connecting subitizing ability and math performance remain incompletely understood.
• Investigating non-numerical factors is crucial for elucidating this association.

Purpose of the Study:

• To examine if form perception, assessed via a serial figure matching task, acts as a non-numerical mediator between subitizing and math performance.
• To differentiate the roles of subitizing and estimation in relation to various arithmetic tasks.
• To explore the mediating role of form perception in the numerosity comparison and arithmetic performance link.

Main Methods:

• Hierarchical regression analyses were employed with a sample of 373 Chinese primary school students.
• Participants completed dot comparison tasks (subitizing and estimation), a serial figure matching task, and multiple math performance assessments.
• Covariates included age, gender, nonverbal matrix reasoning, and visual tracking to control for general cognitive abilities.

Main Results:

• Subitizing comparison predicted simple addition and subtraction performance even after controlling for general cognitive abilities.
• The predictive power of dot comparison conditions vanished when form perception was included as a covariate.
• Path analysis indicated that form perception fully mediated the relationship between numerosity comparison (both within and beyond the subitizing range) and arithmetic performance.

Conclusions:

• Form perception serves as a significant non-numerical cognitive correlate linking subitizing ability to arithmetic performance.
• The findings suggest that improvements in form perception might indirectly enhance mathematical abilities related to quantity processing.
• This research highlights the importance of considering perceptual factors in understanding numerical cognition development.