16709286

Source:http://linkedlifedata.com/resource/pubmed/id/16709286

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0242618, umls-concept:C0439080, umls-concept:C0439828, umls-concept:C0681947, umls-concept:C0686904, umls-concept:C1274040, umls-concept:C1511726, umls-concept:C2349099
pubmed:issue	Pt 1
pubmed:dateCreated	2006-5-19
pubmed:abstractText	Convergent and discriminant validity of psychological constructs can best be examined in the framework of multitrait-multimethod (MTMM) analysis. To gain information at the level of single items, MTMM models for categorical variables have to be applied. The CTC(M-1) model is presented as an example of an MTMM model for ordinal variables. Based on an empirical application of the CTC(M-1) model, a complex simulation study was conducted to examine the sample size requirements of the robust weighted least squares mean- and variance-adjusted chi(2) test of model fit (WLSMV estimator) implemented in Mplus. In particular, the simulation study analysed the chi(2) approximation, the parameter estimation bias, the standard error bias, and the reliability of the WLSMV estimator depending on the varying number of items per trait-method unit (ranging from 2 to 8) and varying sample sizes (250, 500, 750, and 1000 observations). The results showed that the WLSMV estimator provided a good -- albeit slightly liberal -- chi(2) approximation and stable and reliable parameter estimates for models of reasonable complexity (2-4 items) and small sample sizes (at least 250 observations). When more complex models with 5 or more items were analysed, larger sample sizes of at least 500 observations were needed. The most complex model with 9 trait-method units and 8 items (72 observed variables) requires sample sizes of at least 1000 observations.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0004047
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	May
pubmed:issn	0007-1102
pubmed:author	pubmed-author:EidMichaelM, pubmed-author:LischetzkeTanjaT, pubmed-author:NussbeckFridtjof WFW
pubmed:issnType	Print
pubmed:volume	59
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	195-213
pubmed:dateRevised	2009-11-11
pubmed:meshHeading	pubmed-meshheading:16709286-Humans, pubmed-meshheading:16709286-Models, Psychological, pubmed-meshheading:16709286-Models, Theoretical, pubmed-meshheading:16709286-Monte Carlo Method, pubmed-meshheading:16709286-Psychology
pubmed:year	2006
pubmed:articleTitle	Analysing multitrait-multimethod data with structural equation models for ordinal variables applying the WLSMV estimator: what sample size is needed for valid results?
pubmed:affiliation	Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland. fridtjof.nussbeck@pse.unige.ch
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't