ArticleFrontiers in psychology2021
Two Dyscalculia Subtypes With Similar, Low Comorbidity Profiles: A Mixture Model Analysis.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Identifying and subtyping dyscalculia in a sample of children with and without dyscalculia - a data-driven approach.Frontiers in psychology · 2025Article
- AI-Enhanced Dyscalculia Screening: A Survey of Methods and Applications for Children.Diagnostics (Basel, Switzerland) · 2024Review
- Heterogeneity of Dyscalculia Risk Dependent on the Type of Number Line Estimation Task and the Number Magnitude.International journal of environmental research and public health · 2022Article
- Discerning Developmental Dyscalculia and Neurodevelopmental Models of Numerical Cognition in a Disadvantaged Educational Context.Brain sciences · 2022Article
- Math difficulties in attention deficit hyperactivity disorder do not originate from the visual number sense.Frontiers in human neuroscience · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Several studies have aimed to identify subtypes of dyscalculia. In many of these studies, either pre-defined groups (e.g., children with reading and mathematical difficulties vs. children with isolated mathematical difficulties) were analyzed regarding their cognitive profiles (top-down approach), or clusters of children with dyscalculia (CwD) were identified based on a narrow range of cognitive and mathematical skills (data-driven or bottom-up approach). However, it has remained difficult to establish robust subtypes of dyscalculia across studies. Against this background, we conducted a mixture model analysis in order to explore and identify subtypes of dyscalculia based on a broad range of variables (intelligence, reading fluency, working memory, attention, and various mathematical skills). The total sample comprised 174 elementary school CwD (IQ > 70; mathematical abilities: percentile rank <10), which consisted of two subsamples. The first subsample was based on a diagnostic test focusing on calculation (HRT 1-4;
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