Cognitive, Noncognitive, and Home Environment Correlates of Reading Difficulties in Primary-Grade Students with Language Impairment
Purpose: This article first aimed to examine the cognitive (rapid automatized naming, phonological awareness, working memory, nonverbal cognition, and language) correlates of reading difficulty in children with language impairment (LI). Second, we considered whether noncognitive (effortful control,...
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creator | Newbury, Jayne Justice, Laura M Jiang, Hui H Schmitt, Mary Beth |
description | Purpose: This article first aimed to examine the cognitive (rapid automatized naming, phonological awareness, working memory, nonverbal cognition, and language) correlates of reading difficulty in children with language impairment (LI). Second, we considered whether noncognitive (effortful control, social competence, and behavior problems) correlates offered any explanatory value above that of cognitive factors. Third, we examined whether home environment (specifically household organization and home learning environment) would offer an additional explanatory value. Method: The sample included 165 children in kindergarten and Grade 1 who were receiving intervention for LI in public schools. Standardized measures along with parent interviews/questionnaires were administered at the end of the school year. Results: Logistic regression models indicated the noncognitive factors added discriminatory value to that of cognitive factors in predicting reading difficulties, whereas household factors did not. In the final model using all 11 predictors, prediction accuracy was 88.7% for the typical reading group and 54.2% for the reading difficulty group, with an overall accuracy of 76.4%. Only phonological awareness and working memory significantly contributed to predicting reading group membership when measured in kindergarten and Grade 1. Conclusions: For this sample of children with LI, the most important predictors of reading were cognitive. The child's behavior and social competence improved prediction to a limited but statistically significant degree, whereas home environment did not. Overall classification was low, as only half of the children with reading difficulties were correctly predicted. Important factors differentiating good and poor emergent readers with LI were not captured in this study. |
doi_str_mv | 10.1044/2020_JSLHR-19-00363 |
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Second, we considered whether noncognitive (effortful control, social competence, and behavior problems) correlates offered any explanatory value above that of cognitive factors. Third, we examined whether home environment (specifically household organization and home learning environment) would offer an additional explanatory value. Method: The sample included 165 children in kindergarten and Grade 1 who were receiving intervention for LI in public schools. Standardized measures along with parent interviews/questionnaires were administered at the end of the school year. Results: Logistic regression models indicated the noncognitive factors added discriminatory value to that of cognitive factors in predicting reading difficulties, whereas household factors did not. In the final model using all 11 predictors, prediction accuracy was 88.7% for the typical reading group and 54.2% for the reading difficulty group, with an overall accuracy of 76.4%. Only phonological awareness and working memory significantly contributed to predicting reading group membership when measured in kindergarten and Grade 1. Conclusions: For this sample of children with LI, the most important predictors of reading were cognitive. The child's behavior and social competence improved prediction to a limited but statistically significant degree, whereas home environment did not. Overall classification was low, as only half of the children with reading difficulties were correctly predicted. Important factors differentiating good and poor emergent readers with LI were not captured in this study.</description><identifier>ISSN: 1092-4388</identifier><identifier>EISSN: 1558-9102</identifier><identifier>DOI: 10.1044/2020_JSLHR-19-00363</identifier><language>eng</language><publisher>Rockville: American Speech-Language-Hearing Association</publisher><subject>Abnormalities ; Accuracy ; Behavior Problems ; Child Behavior ; Children & youth ; Classification ; Cognition ; Cognition & reasoning ; Comorbidity ; Comparative analysis ; Correlation ; Diagnosis ; Discussion groups ; Dyslexia ; Educational Environment ; Elementary School Students ; Emergent Literacy ; Family Environment ; Grade 1 ; Grade 2 ; Home ; Influence ; Interpersonal Competence ; Intervention ; Kindergarten ; Language disorders ; Language Impairments ; Language Skills ; Language thought relationship ; Learning environment ; Measures (Individuals) ; Memory ; Naming ; Native Language ; Nonverbal Ability ; Parent Attitudes ; Phonological Awareness ; Phonology ; Poverty ; Prediction ; Primary Education ; Psychological aspects ; Public Schools ; Reading Ability ; Reading comprehension ; Reading Difficulties ; Reading disabilities ; Reading disability ; Reading instruction ; Reading Skills ; Schemata (Cognition) ; School environment ; Short Term Memory ; Social factors ; Social skills ; Specific language impairment</subject><ispartof>Journal of speech, language, and hearing research, 2020-06, Vol.63 (6), p.1933-1946</ispartof><rights>COPYRIGHT 2020 American Speech-Language-Hearing Association</rights><rights>Copyright American Speech-Language-Hearing Association Jun 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c518t-c50c17b3ff0dd6c32e7f64792387369030509f7f695aadc9dacf3ec9bf1571d03</citedby><cites>FETCH-LOGICAL-c518t-c50c17b3ff0dd6c32e7f64792387369030509f7f695aadc9dacf3ec9bf1571d03</cites><orcidid>0000-0002-0580-0280 ; 0000-0003-0615-3959 ; 0000-0003-1731-9504</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1260653$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Newbury, Jayne</creatorcontrib><creatorcontrib>Justice, Laura M</creatorcontrib><creatorcontrib>Jiang, Hui H</creatorcontrib><creatorcontrib>Schmitt, Mary Beth</creatorcontrib><title>Cognitive, Noncognitive, and Home Environment Correlates of Reading Difficulties in Primary-Grade Students with Language Impairment</title><title>Journal of speech, language, and hearing research</title><description>Purpose: This article first aimed to examine the cognitive (rapid automatized naming, phonological awareness, working memory, nonverbal cognition, and language) correlates of reading difficulty in children with language impairment (LI). Second, we considered whether noncognitive (effortful control, social competence, and behavior problems) correlates offered any explanatory value above that of cognitive factors. Third, we examined whether home environment (specifically household organization and home learning environment) would offer an additional explanatory value. Method: The sample included 165 children in kindergarten and Grade 1 who were receiving intervention for LI in public schools. Standardized measures along with parent interviews/questionnaires were administered at the end of the school year. Results: Logistic regression models indicated the noncognitive factors added discriminatory value to that of cognitive factors in predicting reading difficulties, whereas household factors did not. In the final model using all 11 predictors, prediction accuracy was 88.7% for the typical reading group and 54.2% for the reading difficulty group, with an overall accuracy of 76.4%. Only phonological awareness and working memory significantly contributed to predicting reading group membership when measured in kindergarten and Grade 1. Conclusions: For this sample of children with LI, the most important predictors of reading were cognitive. The child's behavior and social competence improved prediction to a limited but statistically significant degree, whereas home environment did not. Overall classification was low, as only half of the children with reading difficulties were correctly predicted. Important factors differentiating good and poor emergent readers with LI were not captured in this study.</description><subject>Abnormalities</subject><subject>Accuracy</subject><subject>Behavior Problems</subject><subject>Child Behavior</subject><subject>Children & youth</subject><subject>Classification</subject><subject>Cognition</subject><subject>Cognition & reasoning</subject><subject>Comorbidity</subject><subject>Comparative analysis</subject><subject>Correlation</subject><subject>Diagnosis</subject><subject>Discussion groups</subject><subject>Dyslexia</subject><subject>Educational Environment</subject><subject>Elementary School Students</subject><subject>Emergent Literacy</subject><subject>Family Environment</subject><subject>Grade 1</subject><subject>Grade 2</subject><subject>Home</subject><subject>Influence</subject><subject>Interpersonal Competence</subject><subject>Intervention</subject><subject>Kindergarten</subject><subject>Language disorders</subject><subject>Language Impairments</subject><subject>Language Skills</subject><subject>Language thought relationship</subject><subject>Learning environment</subject><subject>Measures (Individuals)</subject><subject>Memory</subject><subject>Naming</subject><subject>Native Language</subject><subject>Nonverbal Ability</subject><subject>Parent Attitudes</subject><subject>Phonological Awareness</subject><subject>Phonology</subject><subject>Poverty</subject><subject>Prediction</subject><subject>Primary Education</subject><subject>Psychological aspects</subject><subject>Public Schools</subject><subject>Reading Ability</subject><subject>Reading comprehension</subject><subject>Reading Difficulties</subject><subject>Reading disabilities</subject><subject>Reading disability</subject><subject>Reading instruction</subject><subject>Reading Skills</subject><subject>Schemata (Cognition)</subject><subject>School environment</subject><subject>Short Term Memory</subject><subject>Social factors</subject><subject>Social 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Noncognitive, and Home Environment Correlates of Reading Difficulties in Primary-Grade Students with Language Impairment</title><author>Newbury, Jayne ; Justice, Laura M ; Jiang, Hui H ; Schmitt, Mary Beth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c518t-c50c17b3ff0dd6c32e7f64792387369030509f7f695aadc9dacf3ec9bf1571d03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Abnormalities</topic><topic>Accuracy</topic><topic>Behavior Problems</topic><topic>Child Behavior</topic><topic>Children & youth</topic><topic>Classification</topic><topic>Cognition</topic><topic>Cognition & reasoning</topic><topic>Comorbidity</topic><topic>Comparative analysis</topic><topic>Correlation</topic><topic>Diagnosis</topic><topic>Discussion groups</topic><topic>Dyslexia</topic><topic>Educational Environment</topic><topic>Elementary School Students</topic><topic>Emergent 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H</au><au>Schmitt, Mary Beth</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1260653</ericid><atitle>Cognitive, Noncognitive, and Home Environment Correlates of Reading Difficulties in Primary-Grade Students with Language Impairment</atitle><jtitle>Journal of speech, language, and hearing research</jtitle><date>2020-06-01</date><risdate>2020</risdate><volume>63</volume><issue>6</issue><spage>1933</spage><epage>1946</epage><pages>1933-1946</pages><issn>1092-4388</issn><eissn>1558-9102</eissn><abstract>Purpose: This article first aimed to examine the cognitive (rapid automatized naming, phonological awareness, working memory, nonverbal cognition, and language) correlates of reading difficulty in children with language impairment (LI). Second, we considered whether noncognitive (effortful control, social competence, and behavior problems) correlates offered any explanatory value above that of cognitive factors. Third, we examined whether home environment (specifically household organization and home learning environment) would offer an additional explanatory value. Method: The sample included 165 children in kindergarten and Grade 1 who were receiving intervention for LI in public schools. Standardized measures along with parent interviews/questionnaires were administered at the end of the school year. Results: Logistic regression models indicated the noncognitive factors added discriminatory value to that of cognitive factors in predicting reading difficulties, whereas household factors did not. In the final model using all 11 predictors, prediction accuracy was 88.7% for the typical reading group and 54.2% for the reading difficulty group, with an overall accuracy of 76.4%. Only phonological awareness and working memory significantly contributed to predicting reading group membership when measured in kindergarten and Grade 1. Conclusions: For this sample of children with LI, the most important predictors of reading were cognitive. The child's behavior and social competence improved prediction to a limited but statistically significant degree, whereas home environment did not. Overall classification was low, as only half of the children with reading difficulties were correctly predicted. Important factors differentiating good and poor emergent readers with LI were not captured in this study.</abstract><cop>Rockville</cop><pub>American Speech-Language-Hearing Association</pub><doi>10.1044/2020_JSLHR-19-00363</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-0580-0280</orcidid><orcidid>https://orcid.org/0000-0003-0615-3959</orcidid><orcidid>https://orcid.org/0000-0003-1731-9504</orcidid></addata></record> |
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subjects | Abnormalities Accuracy Behavior Problems Child Behavior Children & youth Classification Cognition Cognition & reasoning Comorbidity Comparative analysis Correlation Diagnosis Discussion groups Dyslexia Educational Environment Elementary School Students Emergent Literacy Family Environment Grade 1 Grade 2 Home Influence Interpersonal Competence Intervention Kindergarten Language disorders Language Impairments Language Skills Language thought relationship Learning environment Measures (Individuals) Memory Naming Native Language Nonverbal Ability Parent Attitudes Phonological Awareness Phonology Poverty Prediction Primary Education Psychological aspects Public Schools Reading Ability Reading comprehension Reading Difficulties Reading disabilities Reading disability Reading instruction Reading Skills Schemata (Cognition) School environment Short Term Memory Social factors Social skills Specific language impairment |
title | Cognitive, Noncognitive, and Home Environment Correlates of Reading Difficulties in Primary-Grade Students with Language Impairment |
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