Source:http://linkedlifedata.com/resource/pubmed/id/18778163
Switch to
Predicate | Object |
---|---|
rdf:type | |
lifeskim:mentions | |
pubmed:issue |
3
|
pubmed:dateCreated |
2008-9-9
|
pubmed:abstractText |
The analysis of convergent and discriminant validity is an integral part of the construct validation process. Models for analyzing the convergent and discriminant validity have typically been developed for cross-sectional data. There exist, however, only a few approaches for longitudinal data that can be applied for analyzing the construct validity of fluctuating states. In this article, the authors show how models of latent state-trait theory can be combined with models of multitrait-multimethod analysis to develop a model that allows for analyzing convergent and discriminant validity in time: the multimethod latent state-trait model. The model allows for identifying different sources of variance (trait consistency, trait-method specificity, occasion-specific consistency, occasion-specific method specificity, and unreliability). It is applied to the repeated measurement of depression and anxiety in children, which was assessed by self and teacher reports (N = 375). The application shows that the proposed models fit the data well and allow a deeper understanding of method effects in clinical assessment.
|
pubmed:language |
eng
|
pubmed:journal | |
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
|
pubmed:month |
Sep
|
pubmed:issn |
1040-3590
|
pubmed:author | |
pubmed:copyrightInfo |
(c) 2008 APA, all rights reserved.
|
pubmed:issnType |
Print
|
pubmed:volume |
20
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
270-80
|
pubmed:meshHeading | |
pubmed:year |
2008
|
pubmed:articleTitle |
Analyzing the convergent and discriminant validity of states and traits: development and applications of multimethod latent state-trait models.
|
pubmed:affiliation |
Clinical Epidemiology Service, University Hospitals of Geneva, Geneva, Switzerland. delphine.courvoisier@hcuge.ch
|
pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|