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Intra-Subject Variability in Mathematical Learning Difficulties
1Edmond J. Safra Brain Research Center for the Study of Learning Disabilities, University of Haifa, IL.
Journal of Cognition
|September 8, 2022
Summary
Individuals with mathematical learning difficulties (MLD) exhibit cognitive instability, specifically in numerical tasks. This inconsistency is not a general cognitive deficit but is specific to number processing in MLD.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Developmental Psychology
Background:
- Mathematical learning difficulties (MLD) involve challenges with number comprehension and processing.
- Beyond numerical deficits, individuals with MLD often display broader cognitive impairments.
Purpose of the Study:
- To investigate if cognitive instability, measured as intra-subject variability (ISV), is a characteristic of MLD.
- To determine if ISV in MLD is specific to numerical tasks or a general cognitive trait.
Main Methods:
- Adult females with MLD and a matched control group participated.
- Participants completed numerical and non-numerical tasks.
- Various ISV measures (SD, sigma, tau) were compared between groups.
Main Results:
- Participants with MLD demonstrated significantly higher ISV.
- This increased variability was observed exclusively during numerical tasks.
- No significant differences in ISV were found for non-numerical tasks.
Conclusions:
- The cognitive system in individuals with MLD is less consistent and more variable during numerical processing.
- This cognitive instability is numerically specific, not a generalized deficit.
- Findings offer insights into MLD and inform potential interventions.
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