Linked Life Data

11806682

Source:http://linkedlifedata.com/resource/pubmed/id/11806682

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2002-1-24
pubmed:abstractText
A group of 117 children who met criteria for Specific Language Impairment (SLI) at 7 years of age were reassessed at 11 years of age. The data gathered from both stages were used to identify predictors of good and poor outcome from earlier test assessments. Results of logistic regressions indicated that measures of narrative retelling skills and expressive syntax were the strongest predictors of overall prognosis. This finding persisted when a nonverbal measure was included as a predictor alongside language measures in the regression model. There was found to be a lack of independent predictive contribution of early measures of articulation to later overall prognosis. Demographic factors (maternal education and family income) were not differently distributed across outcome groups. The theoretical and practical implications of the findings are discussed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0021-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
42
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1013-20
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Predicting pathways of specific language impairment: what differentiates good and poor outcome?
pubmed:affiliation
School of Education, University of Manchester, UK.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't