Vis enkel innførsel

dc.contributor.authorFoldnes, Njål
dc.contributor.authorGrønneberg, Steffen
dc.date.accessioned2018-01-02T13:51:50Z
dc.date.available2018-01-02T13:51:50Z
dc.date.created2017-11-01T14:36:16Z
dc.date.issued2018
dc.identifier.citationStructural Equation Modeling: A Multidisciplinary Journal, 2018, 25(1),nb_NO
dc.identifier.issn1070-5511
dc.identifier.issn1532-8007
dc.identifier.urihttp://hdl.handle.net/11250/2474090
dc.descriptionThe accepted and peer reviewed manuscript to the articlenb_NO
dc.description.abstractWe introduce and evaluate a new class of approximations to common test statistics in structural equation modeling. Such test statistics asymptotically follow the distribution of a weighted sum of i.i.d. chi-square variates, where the weights are eigenvalues of a certain matrix. The proposed eigenvalue block averaging (EBA) method involves creating blocks of these eigenvalues and replacing them within each block with the block average. The Satorra–Bentler scaling procedure is a special case of this framework, using one single block. The proposed procedure applies also to difference testing among nested models. We investigate the EBA procedure both theoretically in the asymptotic case, and with simulation studies for the finite-sample case, under both maximum likelihood and diagonally weighted least squares estimation. Comparison is made with 3 established approximations: Satorra–Bentler, the scaled and shifted, and the scaled F tests.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor and Francisnb_NO
dc.titleApproximating Test Statistics Using Eigenvalue Block Averagingnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.journalStructural Equation Modeling: A Multidisciplinary Journalnb_NO
dc.identifier.doi10.1080/10705511.2017.1373021
dc.identifier.cristin1509862
dc.description.localcode2, Forfatterversjonnb_NO
cristin.unitcode158,3,0,0
cristin.unitnameInstitutt for samfunnsøkonomi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel