Linked Life Data

15053721

Source:http://linkedlifedata.com/resource/pubmed/id/15053721

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2004-3-31
pubmed:abstractText
Studies of factorial invariance examine whether a common factor model holds across multiple populations with identical parameter values. Partial factorial invariance exists when some, but not all, parameters are invariant. The literature on factorial invariance is unclear about what should be done if partial invariance is found. One approach to this problem evaluates the impact of partial invariance on accuracy of selection on the basis of a composite of the measures whose factor structure is being studied. Assuming a single-factor model holds, accuracy of selection using the composite is evaluated under varying degrees of partial invariance. A variety of examples are presented with discussion of extensions and limitations.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1082-989X
pubmed:author
pubmed:copyrightInfo
(c) 2004 APA, all rights reserved
pubmed:issnType
Print
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
93-115
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Evaluating the impact of partial factorial invariance on selection in two populations.
pubmed:affiliation
Department of Psychology, Arizona State University, Box 871104, Tempe, AZ 85287-1104, USA. millsap@asu.edu
pubmed:publicationType
Journal Article