Multiple Skills Underlie Arithmetic Performance: A Large-Scale Structural Equation Modeling Analysis

Current theoretical approaches point to the importance of several cognitive skills not specific to mathematics for the etiology of mathematics disorders (MD). In the current study, we examined the role of many of these skills, specifically: rapid automatized naming, attention, reading, and visual pe...

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Main Authors: Sarit Ashkenazi, Sarit Silverman
Format: Article
Language:English
Published: PsychOpen GOLD/ Leibniz Insitute for Psychology 2017-12-01
Series:Journal of Numerical Cognition
Subjects:
Online Access:http://jnc.psychopen.eu/article/view/64
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author Sarit Ashkenazi
Sarit Silverman
author_facet Sarit Ashkenazi
Sarit Silverman
author_sort Sarit Ashkenazi
collection DOAJ
description Current theoretical approaches point to the importance of several cognitive skills not specific to mathematics for the etiology of mathematics disorders (MD). In the current study, we examined the role of many of these skills, specifically: rapid automatized naming, attention, reading, and visual perception, on mathematics performance among a large group of college students (N = 1,322) with a wide range of arithmetic proficiency. Using factor analysis, we discovered that our data clustered to four latent variables 1) mathematics, 2) perception speed, 3) attention and 4) reading. In subsequent structural equation modeling, we found that the latent variable perception speed had a strong and meaningful effect on mathematics performance. Moreover, sustained attention, independent from the effect of the latent variable perception speed, had a meaningful, direct effect on arithmetic fact retrieval and procedural knowledge. The latent variable reading had a modest effect on mathematics performance. Specifically, reading comprehension, independent from the effect of the latent variable reading, had a meaningful direct effect on mathematics, and particularly on number line knowledge. Attention, tested by the attention network test, had no effect on mathematics, reading or perception speed. These results indicate that multiple factors can affect mathematics performance supporting a heterogeneous approach to mathematics. These results have meaningful implications for the diagnosis and intervention of pure and comorbid learning disorders.
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spelling doaj.art-94bcc9884a1d442b82260c32ba9d4dbb2023-01-03T01:18:28ZengPsychOpen GOLD/ Leibniz Insitute for PsychologyJournal of Numerical Cognition2363-87612017-12-013249651510.5964/jnc.v3i2.64jnc.v3i2.64Multiple Skills Underlie Arithmetic Performance: A Large-Scale Structural Equation Modeling AnalysisSarit Ashkenazi0Sarit Silverman1The Seymour Fox School of Education, The Hebrew University of Jerusalem, Jerusalem, IsraelThe Seymour Fox School of Education, The Hebrew University of Jerusalem, Jerusalem, IsraelCurrent theoretical approaches point to the importance of several cognitive skills not specific to mathematics for the etiology of mathematics disorders (MD). In the current study, we examined the role of many of these skills, specifically: rapid automatized naming, attention, reading, and visual perception, on mathematics performance among a large group of college students (N = 1,322) with a wide range of arithmetic proficiency. Using factor analysis, we discovered that our data clustered to four latent variables 1) mathematics, 2) perception speed, 3) attention and 4) reading. In subsequent structural equation modeling, we found that the latent variable perception speed had a strong and meaningful effect on mathematics performance. Moreover, sustained attention, independent from the effect of the latent variable perception speed, had a meaningful, direct effect on arithmetic fact retrieval and procedural knowledge. The latent variable reading had a modest effect on mathematics performance. Specifically, reading comprehension, independent from the effect of the latent variable reading, had a meaningful direct effect on mathematics, and particularly on number line knowledge. Attention, tested by the attention network test, had no effect on mathematics, reading or perception speed. These results indicate that multiple factors can affect mathematics performance supporting a heterogeneous approach to mathematics. These results have meaningful implications for the diagnosis and intervention of pure and comorbid learning disorders.http://jnc.psychopen.eu/article/view/64perception speedmathematics performancepure and comorbid mathematics disability
spellingShingle Sarit Ashkenazi
Sarit Silverman
Multiple Skills Underlie Arithmetic Performance: A Large-Scale Structural Equation Modeling Analysis
Journal of Numerical Cognition
perception speed
mathematics performance
pure and comorbid mathematics disability
title Multiple Skills Underlie Arithmetic Performance: A Large-Scale Structural Equation Modeling Analysis
title_full Multiple Skills Underlie Arithmetic Performance: A Large-Scale Structural Equation Modeling Analysis
title_fullStr Multiple Skills Underlie Arithmetic Performance: A Large-Scale Structural Equation Modeling Analysis
title_full_unstemmed Multiple Skills Underlie Arithmetic Performance: A Large-Scale Structural Equation Modeling Analysis
title_short Multiple Skills Underlie Arithmetic Performance: A Large-Scale Structural Equation Modeling Analysis
title_sort multiple skills underlie arithmetic performance a large scale structural equation modeling analysis
topic perception speed
mathematics performance
pure and comorbid mathematics disability
url http://jnc.psychopen.eu/article/view/64
work_keys_str_mv AT saritashkenazi multipleskillsunderliearithmeticperformancealargescalestructuralequationmodelinganalysis
AT saritsilverman multipleskillsunderliearithmeticperformancealargescalestructuralequationmodelinganalysis