Show simple item record

dc.contributor.authorFoss, Tron
dc.contributor.authorJøreskog, Karl Gustaf
dc.contributor.authorOlsson, Ulf Henning
dc.date.accessioned2012-06-18T11:13:09Z
dc.date.available2012-06-18T11:13:09Z
dc.date.issued2011
dc.identifier.issn1872-7352 (e-utg)
dc.identifier.urihttp://hdl.handle.net/11250/93436
dc.descriptionThis is the authors’ final, accepted and refereed manuscript to the articleno_NO
dc.description.abstractThe Satorra Bentler (SB) and the Browne ADF chi-square statistics are used for testing structural equation models with non-normal data. The relationships between the SB and ADF statistics and kurtosis are developed and it is shown that the weighted deviations of the "population" true second-order moments and the tted second-order moments for these statistics tend to decrease with increasing kurtosis if the model does not hold. The results predict that high kurtosis can lead to loss of power. The results are obtained without simulation.no_NO
dc.language.isoengno_NO
dc.publisherElsevierno_NO
dc.subjectKurtosisno_NO
dc.subjectScaling correctionno_NO
dc.subjectADFno_NO
dc.subjectmis-speci edno_NO
dc.titleTesting structural equation models: the effect of kurtosisno_NO
dc.typeJournal articleno_NO
dc.typePeer reviewedno_NO
dc.source.pagenumber2263-2275no_NO
dc.source.volume55no_NO
dc.source.journalComputational Statistics and Data Analysisno_NO
dc.source.issue7no_NO
dc.identifier.doihttp://dx.doi.org/ 10.1016/j.csda.2011.01.012


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record