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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Main Authors: Christian Kißler, Christin Schwenk, Jörg-Tobias Kuhn
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2021.589506/full
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spelling 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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