Predicting Mathematical Achievement and Mathematical Learning Disability With a Simple Screening Tool: The Number...

Area of Science:

• Cognitive Psychology
• Educational Psychology
• Developmental Psychology

Background:

• Early identification of mathematical learning disability (MLD) is crucial for timely intervention.
• Assessing numerical cognition in young children aids in predicting future academic success.
• The Number Sets Test was designed to evaluate children's basic number processing skills.

Purpose of the Study:

• To determine the predictive validity of the Number Sets Test for mathematics achievement.
• To assess the test's utility in identifying children at risk for MLD.
• To analyze the relationship between number sense and later mathematical performance.

Main Methods:

• A sample of 223 children completed the Number Sets Test in first grade.
• Signal detection analysis was used to derive sensitivity (d') and response bias measures.
• Mathematics achievement, intelligence, and working memory were assessed in first and third grades.

Main Results:

• The sensitivity measure (d') from the Number Sets Test predicted third grade math achievement, independent of cognitive factors.
• First grade d' scores accurately identified 67% of children later diagnosed with MLD.
• The test demonstrated high specificity, correctly identifying 90% of children not at risk for MLD.

Conclusions:

• The Number Sets Test, particularly its sensitivity component, is a valuable tool for early identification of MLD risk.
• Early numerical processing skills are foundational for later mathematical success.
• The test offers a promising method for screening children who may require additional mathematical support.