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Early predictors of future reading skills: A follow-up of French-speaking children from the beginning of kindergarten to the end of the second grade (age 5 to 8)

Identifieur interne : 001E28 ( Hal/Curation ); précédent : 001E27; suivant : 001E29

Early predictors of future reading skills: A follow-up of French-speaking children from the beginning of kindergarten to the end of the second grade (age 5 to 8)

Auteurs : Agnès Piquard-Kipffer [France] ; Liliane Sprenger-Charolles [France]

Source :

RBID : Hal:hal-00925411

Abstract

We reported the results of two studies on the early predictors of future reading skills. The main goal of the first study was to examine whether reading level at age 8 can be predicted on the basis of a skill very rarely examined in longitudinal studies: phonemic discrimination. Two groups of French-speaking children were selected based on their phonemic discrimination skills at age 5: a group with low skills and a group with average to high skills in that domain. These two groups were respectively classified as being "at-risk" and "not-at-risk" for reading acquisition, and were matched on chronological age, nonverbal IQ and vocabulary. Phonemic discrimination was found to be an important predictor of reading acquisition. Indeed, the two groups defined at age 5 based on their phonemic discrimination skills obtained significantly different reading scores at age 8, and the proportion of children with reading disabilities was higher in the at-risk group than in the not-at-risk group. The main goal of the second study was to assess whether reading skills at age 8 could be predicted by the "classical" predictors of reading acquisition assessed at age 5: pre-reading level, letter-name knowledge, phonemic segmentation and phonological short-term-memory (STM). A high proportion of the variance in reading at age 8 (52.8%) was predicted by these predictors, with four contributing unique and significant portions of that variance: pre-reading level, letter-name knowledge for vowels (not for consonants), phonemic segmentation (not syllabic segmentation) and phonological STM.

Url:
DOI: 10.4074/S0003503313014012

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Hal:hal-00925411

Le document en format XML

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<div type="abstract" xml:lang="en">We reported the results of two studies on the early predictors of future reading skills. The main goal of the first study was to examine whether reading level at age 8 can be predicted on the basis of a skill very rarely examined in longitudinal studies: phonemic discrimination. Two groups of French-speaking children were selected based on their phonemic discrimination skills at age 5: a group with low skills and a group with average to high skills in that domain. These two groups were respectively classified as being "at-risk" and "not-at-risk" for reading acquisition, and were matched on chronological age, nonverbal IQ and vocabulary. Phonemic discrimination was found to be an important predictor of reading acquisition. Indeed, the two groups defined at age 5 based on their phonemic discrimination skills obtained significantly different reading scores at age 8, and the proportion of children with reading disabilities was higher in the at-risk group than in the not-at-risk group. The main goal of the second study was to assess whether reading skills at age 8 could be predicted by the "classical" predictors of reading acquisition assessed at age 5: pre-reading level, letter-name knowledge, phonemic segmentation and phonological short-term-memory (STM). A high proportion of the variance in reading at age 8 (52.8%) was predicted by these predictors, with four contributing unique and significant portions of that variance: pre-reading level, letter-name knowledge for vowels (not for consonants), phonemic segmentation (not syllabic segmentation) and phonological STM.</div>
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<idno type="halRef">Annee Psychologique, Centre Henri Pieron, 2013, 113 (4), pp.491-521. <10.4074/S0003503313014012></idno>
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<idno type="stamp" n="TICE">Bibliothèque TICE</idno>
<idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
<idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
<idno type="stamp" n="SHS">Sciences de l'Homme et de la Société</idno>
<idno type="stamp" n="AO-LINGUISTIQUE">Archives ouvertes de la Linguistique</idno>
<idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno>
<idno type="stamp" n="LORIA2">Publications du LORIA</idno>
<idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno>
<idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno>
<idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno>
<idno type="stamp" n="UNIV-AMU">Aix Marseille Université</idno>
<idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno>
<idno type="stamp" n="INRIA_TEST">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
</seriesStmt>
<notesStmt>
<note type="audience" n="2">International</note>
<note type="popular" n="0">No</note>
<note type="peer" n="0">No</note>
</notesStmt>
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<analytic>
<title xml:lang="en">Early predictors of future reading skills: A follow-up of French-speaking children from the beginning of kindergarten to the end of the second grade (age 5 to 8)</title>
<author role="aut">
<persName>
<forename type="first">Agnès</forename>
<surname>Piquard-Kipffer</surname>
</persName>
<idno type="halAuthorId">973186</idno>
<affiliation ref="#struct-205127"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Liliane</forename>
<surname>Sprenger-Charolles</surname>
</persName>
<idno type="halAuthorId">430529</idno>
<affiliation ref="#struct-849"></affiliation>
</author>
</analytic>
<monogr>
<idno type="halJournalId" status="VALID">104617</idno>
<idno type="issn">0003-5033</idno>
<idno type="eissn">1955-2580</idno>
<title level="j">Annee Psychologique</title>
<imprint>
<publisher>Centre Henri Pieron</publisher>
<biblScope unit="volume">113</biblScope>
<biblScope unit="issue">4</biblScope>
<biblScope unit="pp">491-521</biblScope>
<date type="datePub">2013</date>
</imprint>
</monogr>
<idno type="doi">10.4074/S0003503313014012</idno>
</biblStruct>
</sourceDesc>
<profileDesc>
<langUsage>
<language ident="en">English</language>
</langUsage>
<textClass>
<classCode scheme="halDomain" n="shs.langue">Humanities and Social Sciences/Linguistics</classCode>
<classCode scheme="halDomain" n="shs.edu">Humanities and Social Sciences/Education</classCode>
<classCode scheme="halTypology" n="ART">Journal articles</classCode>
</textClass>
<abstract xml:lang="en">We reported the results of two studies on the early predictors of future reading skills. The main goal of the first study was to examine whether reading level at age 8 can be predicted on the basis of a skill very rarely examined in longitudinal studies: phonemic discrimination. Two groups of French-speaking children were selected based on their phonemic discrimination skills at age 5: a group with low skills and a group with average to high skills in that domain. These two groups were respectively classified as being "at-risk" and "not-at-risk" for reading acquisition, and were matched on chronological age, nonverbal IQ and vocabulary. Phonemic discrimination was found to be an important predictor of reading acquisition. Indeed, the two groups defined at age 5 based on their phonemic discrimination skills obtained significantly different reading scores at age 8, and the proportion of children with reading disabilities was higher in the at-risk group than in the not-at-risk group. The main goal of the second study was to assess whether reading skills at age 8 could be predicted by the "classical" predictors of reading acquisition assessed at age 5: pre-reading level, letter-name knowledge, phonemic segmentation and phonological short-term-memory (STM). A high proportion of the variance in reading at age 8 (52.8%) was predicted by these predictors, with four contributing unique and significant portions of that variance: pre-reading level, letter-name knowledge for vowels (not for consonants), phonemic segmentation (not syllabic segmentation) and phonological STM.</abstract>
</profileDesc>
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