Linked Life Data

17009769

Source:http://linkedlifedata.com/resource/pubmed/id/17009769

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2006-10-2
pubmed:abstractText
A meta-analysis was conducted to investigate whether specific reading disorder (SRD) groups demonstrate a deficit in using phonological recoding strategies. Thirty-four studies were reviewed that had compared the nonword reading performances of SRD groups with reading-level matched (RL) control groups. The average nonword reading difference between groups across the total number of studies was moderate (d = 0.65, N = 2865). Three predictors of the size of group differences in nonword reading ability were identified. Studies that used passage reading tests to match groups for reading level found significantly less evidence for nonword reading deficits than studies that used word-level reading accuracy tests. Secondly, there was a significant positive relationship between group differences in intelligence level (SRD-RL control group) and effect sizes. Finally, group differences in age showed a significant negative association with effect magnitudes. The mean age, reading level and intelligence level of groups did not significantly predict nonword reading outcomes. It was concluded that there was evidence for nonword reading deficits in SRD groups, consistent with the claim that deficient development of phonological recoding strategies is a leading cause of reading difficulties.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1076-9242
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
195-221
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Meta-analysis of the nonword reading deficit in specific reading disorder.
pubmed:affiliation
School of Psychological Science, La Trobe University, Australia. juliaherrmann@hotmail.com
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Meta-Analysis