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Predictors of Reading in Urdu: Does Deep Orthography Have an Impact?

The aim of this study was to establish the extent to which rapid automatized naming (RAN) and non-word repetition (NWR) tasks predict reading fluency and reading accuracy in Urdu. One hundred sixty (8–9 years) children attending two types of schools (Urdu and English medium schools) were distributed...

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Autores principales: Farukh, Ammara, Vulchanova, Mila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4303915/
https://www.ncbi.nlm.nih.gov/pubmed/24664499
http://dx.doi.org/10.1002/dys.1474
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author Farukh, Ammara
Vulchanova, Mila
author_facet Farukh, Ammara
Vulchanova, Mila
author_sort Farukh, Ammara
collection PubMed
description The aim of this study was to establish the extent to which rapid automatized naming (RAN) and non-word repetition (NWR) tasks predict reading fluency and reading accuracy in Urdu. One hundred sixty (8–9 years) children attending two types of schools (Urdu and English medium schools) were distributed into two groups, a control and a reading disability group on the basis of teacher’s report. The results confirmed the role of RAN in predicting reading fluency in both groups. The role of NWR as a predictor of accuracy was also confirmed, although the strength of the relationship was modulated by RAN in the reading disability group. There are no tests available to identify children with reading problems in Urdu. Our study supports the validity of NWR and RAN tasks for the purposes of screening for reading deficits. The performance results also confirm the original grouping based on teacher reports. The study further highlights the importance of medium of instruction and increased oral language input in learning to read. © 2014 The Authors. Dyslexia published by John Wiley & Sons Ltd. KEY MESSAGES: 1. Reliability of teacher reports in screening for reading difficulties in the classroom. 2. Appropriateness of non-word repetition and rapid automatized naming tasks for establishing reading problems in Urdu. 3. School type and exposure to instruction influences reading skills.
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spelling pubmed-43039152015-02-02 Predictors of Reading in Urdu: Does Deep Orthography Have an Impact? Farukh, Ammara Vulchanova, Mila Dyslexia Research Articles The aim of this study was to establish the extent to which rapid automatized naming (RAN) and non-word repetition (NWR) tasks predict reading fluency and reading accuracy in Urdu. One hundred sixty (8–9 years) children attending two types of schools (Urdu and English medium schools) were distributed into two groups, a control and a reading disability group on the basis of teacher’s report. The results confirmed the role of RAN in predicting reading fluency in both groups. The role of NWR as a predictor of accuracy was also confirmed, although the strength of the relationship was modulated by RAN in the reading disability group. There are no tests available to identify children with reading problems in Urdu. Our study supports the validity of NWR and RAN tasks for the purposes of screening for reading deficits. The performance results also confirm the original grouping based on teacher reports. The study further highlights the importance of medium of instruction and increased oral language input in learning to read. © 2014 The Authors. Dyslexia published by John Wiley & Sons Ltd. KEY MESSAGES: 1. Reliability of teacher reports in screening for reading difficulties in the classroom. 2. Appropriateness of non-word repetition and rapid automatized naming tasks for establishing reading problems in Urdu. 3. School type and exposure to instruction influences reading skills. BlackWell Publishing Ltd 2014-01 2014-03-24 /pmc/articles/PMC4303915/ /pubmed/24664499 http://dx.doi.org/10.1002/dys.1474 Text en © 2014 The Authors. Dyslexia published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Farukh, Ammara
Vulchanova, Mila
Predictors of Reading in Urdu: Does Deep Orthography Have an Impact?
title Predictors of Reading in Urdu: Does Deep Orthography Have an Impact?
title_full Predictors of Reading in Urdu: Does Deep Orthography Have an Impact?
title_fullStr Predictors of Reading in Urdu: Does Deep Orthography Have an Impact?
title_full_unstemmed Predictors of Reading in Urdu: Does Deep Orthography Have an Impact?
title_short Predictors of Reading in Urdu: Does Deep Orthography Have an Impact?
title_sort predictors of reading in urdu: does deep orthography have an impact?
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4303915/
https://www.ncbi.nlm.nih.gov/pubmed/24664499
http://dx.doi.org/10.1002/dys.1474
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