Two Dyscalculia Subtypes With Similar, Low Comorbidity Profiles: A Mixture Model Analysis
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), o...
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doaj-bdbcab449fe84f13bdfcc67a6ce3075c2021-06-21T06:15:51ZengFrontiers Media S.A.Frontiers in Psychology1664-10782021-06-011210.3389/fpsyg.2021.589506589506Two Dyscalculia Subtypes With Similar, Low Comorbidity Profiles: A Mixture Model AnalysisChristian KißlerChristin SchwenkJörg-Tobias KuhnSeveral 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; n = 71; 46 girls, 25 boys; age: M = 9.28 years, SD = 0.94) whereas the second subsample was based on a diagnostic test with a strong focus on basic numerical capacities (ZAREKI-R; n = 103; 78 girls, 25 boys; age: M = 8.94 years, SD = 1.05). Results provided convincing evidence for the existence of two subtypes in CwD: A slightly impaired subtype and a strongly impaired subtype. Subtypes differed most strongly regarding mathematical abilities, but the analyses suggest that differences in attention could also be a key factor. Therefore, comorbid attention difficulties seem to be a relevant factor that needs to be considered when establishing subtypes. Substantial intelligence differences between dyscalculia subtypes could not be found. Differences in working memory and reading fluency were negligible. Overall, the results seemed to be robust regardless of the diagnostic test used for assessing dyscalculia. When planning interventions for CwD, the existence of a subtype with substantial attention problems should be kept in mind.https://www.frontiersin.org/articles/10.3389/fpsyg.2021.589506/fullsubtypesmathematical skillsmathematical abilitiesmixture model analysiscomorbiditydyscalculia |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Christian Kißler Christin Schwenk Jörg-Tobias Kuhn |
spellingShingle |
Christian Kißler Christin Schwenk Jörg-Tobias Kuhn Two Dyscalculia Subtypes With Similar, Low Comorbidity Profiles: A Mixture Model Analysis Frontiers in Psychology subtypes mathematical skills mathematical abilities mixture model analysis comorbidity dyscalculia |
author_facet |
Christian Kißler Christin Schwenk Jörg-Tobias Kuhn |
author_sort |
Christian Kißler |
title |
Two Dyscalculia Subtypes With Similar, Low Comorbidity Profiles: A Mixture Model Analysis |
title_short |
Two Dyscalculia Subtypes With Similar, Low Comorbidity Profiles: A Mixture Model Analysis |
title_full |
Two Dyscalculia Subtypes With Similar, Low Comorbidity Profiles: A Mixture Model Analysis |
title_fullStr |
Two Dyscalculia Subtypes With Similar, Low Comorbidity Profiles: A Mixture Model Analysis |
title_full_unstemmed |
Two Dyscalculia Subtypes With Similar, Low Comorbidity Profiles: A Mixture Model Analysis |
title_sort |
two dyscalculia subtypes with similar, low comorbidity profiles: a mixture model analysis |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychology |
issn |
1664-1078 |
publishDate |
2021-06-01 |
description |
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; n = 71; 46 girls, 25 boys; age: M = 9.28 years, SD = 0.94) whereas the second subsample was based on a diagnostic test with a strong focus on basic numerical capacities (ZAREKI-R; n = 103; 78 girls, 25 boys; age: M = 8.94 years, SD = 1.05). Results provided convincing evidence for the existence of two subtypes in CwD: A slightly impaired subtype and a strongly impaired subtype. Subtypes differed most strongly regarding mathematical abilities, but the analyses suggest that differences in attention could also be a key factor. Therefore, comorbid attention difficulties seem to be a relevant factor that needs to be considered when establishing subtypes. Substantial intelligence differences between dyscalculia subtypes could not be found. Differences in working memory and reading fluency were negligible. Overall, the results seemed to be robust regardless of the diagnostic test used for assessing dyscalculia. When planning interventions for CwD, the existence of a subtype with substantial attention problems should be kept in mind. |
topic |
subtypes mathematical skills mathematical abilities mixture model analysis comorbidity dyscalculia |
url |
https://www.frontiersin.org/articles/10.3389/fpsyg.2021.589506/full |
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