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dc.contributor.authorHammervold, Randi
dc.contributor.authorOlsson, Ulf Henning
dc.date.accessioned2012-08-14T12:24:02Z
dc.date.available2012-08-14T12:24:02Z
dc.date.issued2012
dc.identifier.issn1573-7845 (e-utg)
dc.identifier.urihttp://hdl.handle.net/11250/93612
dc.descriptionThis is the authors’ final, accepted and refereed manuscript to the article. The final publication is available at www.springerlink.comno_NO
dc.description.abstractYet another paper on fit measures? To our knowledge, very few papers discuss how fit measures are affected by error variance in the Data Generating Process (DGP). The present paper deals with this. Based upon an extensive simulation study, this paper shows that the effects of increased error variance differ significantly for various fit measures. In addition to error variance the effects depend on sample size and severity of misspecification. The findings confirm the general notion that good fit as measured by the chi-square, RMSEA and GFI etc. does not necessarily mean that the model is correctly specified and reliable. One finding is that the chi square test may give support to misspecified models in situations with a high level of error variance in the DGP, for small sample sizes. Another finding is that the chi-square test looses power also for large sample sizes when the model is negligible misspecified. Other results include incremental fit indices as NFI and RFI which prove to be more informative indicators under these circumstances. At the end of the paper we formulate some guidelines for use of different fit measures.no_NO
dc.language.isoengno_NO
dc.publisherSpringerno_NO
dc.subjectFit measuresno_NO
dc.subjectError varianceno_NO
dc.subjectStructural equation modelingno_NO
dc.subjectChi-square testno_NO
dc.titleTesting structural equation models: the impact of error variances in the data generating processno_NO
dc.typeJournal articleno_NO
dc.typePeer reviewedno_NO
dc.source.pagenumber1547-1570no_NO
dc.source.volume46no_NO
dc.source.journalQuality and Quantityno_NO
dc.source.issue5no_NO
dc.identifier.doihttp://dx.doi.org/10.1007/s11135-011-9466-5


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