Literature DB >> 34080138

A model-based meta-analytic examination of specific reading comprehension deficit: how prevalent is it and does the simple view of reading account for it?

Richard K Wagner1, Bethany Beal2, Fotena A Zirps2, Mercedes Spencer3.   

Abstract

Many individuals with poor reading comprehension have levels of reading comprehension that are consistent with deficits in their ability to decode the words on the page. However, there are individuals who are poor at reading comprehension despite being adequate at decoding. This phenomenon is referred to as specific reading comprehension deficit (SRCD). The two purposes of this study were to use a new approach to estimate the prevalence of SRCD and to examine the extent to which SRCD can be explained by the simple view of reading. We used model-based meta-analysis of correlation matrices from standardized tests to create composite correlation matrices for the constructs of reading comprehension, decoding, and listening comprehension. Using simulated datasets generated from the composite correlation matrices, we used residuals from regressing reading comprehension on decoding to create a continuous index of SRCD. The prevalence of SRCD is best represented not as a single number but as a continuous distribution in which prevalence varies as a function of the magnitude of the severity of the deficit in reading comprehension relative to the level of decoding. Examining the joint distribution of the residuals with reading comprehension makes clear that the phenomenon of reading comprehension that is poor relative to decoding occurs throughout the distribution of reading comprehension skill. Although the simple view of reading predictors of listening comprehension and decoding makes significant contributions to predicting reading comprehension, nearly half of the variance is unaccounted for.

Entities:  

Keywords:  Meta-analysis; Prevalence; Specific reading comprehension deficit

Mesh:

Year:  2021        PMID: 34080138      PMCID: PMC8483584          DOI: 10.1007/s11881-021-00232-2

Source DB:  PubMed          Journal:  Ann Dyslexia        ISSN: 0736-9387


  30 in total

1.  Magnitude Representation and Working Memory Updating in Children With Arithmetic and Reading Comprehension Disabilities.

Authors:  Santiago Pelegrina; Agnese Capodieci; Barbara Carretti; Cesare Cornoldi
Journal:  J Learn Disabil       Date:  2014-03-31

2.  Subgrouping poor readers on the basis of individual differences in reading-related abilities.

Authors:  Hugh W Catts; Tiffany P Hogan; Marc E Fey
Journal:  J Learn Disabil       Date:  2003 Mar-Apr

3.  Language deficits in poor comprehenders: a case for the simple view of reading.

Authors:  Hugh W Catts; Suzanne M Adlof; Susan Ellis Weismer
Journal:  J Speech Lang Hear Res       Date:  2006-04       Impact factor: 2.297

4.  Morphological and syntactic awareness in poor comprehenders: another piece of the puzzle.

Authors:  Xiuli Tong; S Hélène Deacon; Kate Cain
Journal:  J Learn Disabil       Date:  2014 Jan-Feb

5.  Matthew effects in young readers: reading comprehension and reading experience aid vocabulary development.

Authors:  Kate Cain; Jane Oakhill
Journal:  J Learn Disabil       Date:  2011-07-19

6.  The Prevalence of Dyslexia: A New Approach to Its Estimation.

Authors:  Richard K Wagner; Fotena A Zirps; Ashley A Edwards; Sarah G Wood; Rachel E Joyner; Betsy J Becker; Guangyun Liu; Bethany Beal
Journal:  J Learn Disabil       Date:  2020-05-26

7.  The Comprehension Problems of Children with Poor Reading Comprehension despite Adequate Decoding: A Meta-Analysis.

Authors:  Mercedes Spencer; Richard K Wagner
Journal:  Rev Educ Res       Date:  2018-01-03

8.  Hidden language impairments in children: parallels between poor reading comprehension and specific language impairment?

Authors:  Kate Nation; Paula Clarke; Catherine M Marshall; Marianne Durand
Journal:  J Speech Lang Hear Res       Date:  2004-02       Impact factor: 2.297

9.  To get hold of the wrong end of the stick: reasons for poor idiom understanding in children with reading comprehension difficulties.

Authors:  Kate Cain; Andrea S Towse
Journal:  J Speech Lang Hear Res       Date:  2008-12       Impact factor: 2.297

10.  metaSEM: an R package for meta-analysis using structural equation modeling.

Authors:  Mike W-L Cheung
Journal:  Front Psychol       Date:  2015-01-05
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  1 in total

1.  Poor School-Related Well-Being among Adolescents with Disabilities or ADHD.

Authors:  Sanna Tiikkaja; Ylva Tindberg
Journal:  Int J Environ Res Public Health       Date:  2021-12-21       Impact factor: 3.390

  1 in total

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