Linked Life Data

18179355

Source:http://linkedlifedata.com/resource/pubmed/id/18179355

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2008-1-8
pubmed:abstractText
Genetically informative data can be used to address fundamental questions concerning the measurement of behavior in children. The authors illustrate this with longitudinal multiple-rater data on internalizing problems in twins. Valid information on the behavior of a child is obtained for behavior that multiple raters agree upon and for rater-specific perception of the child's behavior. Rater-disagreement variance varsigma2(rd) accounted for 35% of the individual differences in internalizing behavior. Up to 17% of this varsigma2(rd) was accounted for by rater-specific additive genetic variance varsigma2(Au). Thus, the disagreement should not be considered only to be bias/error but also as representing the unique feature of the relationships between that parent and the child. The longitudinal extension of this model helps to make a distinction between measurement error and the raters' unique perception of the child's behavior. For internalizing behavior, the results show large stability across time, which is accounted for by common additive genetic and common shared environmental factors. Rater-specific shared environmental factors show substantial influence on stability. This could mean that rater bias may be persistent and affect longitudinal studies.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1082-989X
pubmed:author
pubmed:copyrightInfo
Copyright (c) 2008 APA.
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
451-66
pubmed:dateRevised
2008-6-25
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Twins and the study of rater (dis)agreement.
pubmed:affiliation
Department of Biological Psychology, VU University.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural, Twin Study