dc.contributor.author | Foldnes, Njål | |
dc.contributor.author | Grønneberg, Steffen | |
dc.date.accessioned | 2019-05-29T12:49:59Z | |
dc.date.available | 2019-05-29T12:49:59Z | |
dc.date.created | 2019-03-12T19:53:00Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Psychometrika.2019, 84 (2), 554–561. | nb_NO |
dc.identifier.issn | 0033-3123 | |
dc.identifier.issn | 1860-0980 | |
dc.identifier.uri | http://hdl.handle.net/11250/2599455 | |
dc.description.abstract | Previous influential simulation studies investigate the effect of underlying non-normality in ordinal data using the Vale–Maurelli (VM) simulation method. We show that discretized data stemming from the VM method with a prescribed target covariance matrix are usually numerically equal to data stemming from discretizing a multivariate normal vector. This normal vector has, however, a different covariance matrix than the target. It follows that these simulation studies have in fact studied data stemming from normal data with a possibly misspecified covariance structure. This observation affects the interpretation of previous simulation studies. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Springer | nb_NO |
dc.subject | Polychoric correlation | nb_NO |
dc.subject | Vale–Maurelli | nb_NO |
dc.subject | Non-normal data | nb_NO |
dc.subject | Structural equation modeling | nb_NO |
dc.subject | Ordinal data | nb_NO |
dc.title | A PROBLEM WITH DISCRETIZING VALE–MAURELLI IN SIMULATION STUDIES | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.rights.holder | Copyright policy of Springer, the publisher of this journal: "Authors may self-archive the author’s accepted manuscript of their articles on their own websites. Authors may also deposit this version of the article in any repository, provided it is only made publicly available 12 months after official publication or later. He/ she may not use the publisher's version (the final article), which is posted on SpringerLink and other Springer websites, for the purpose of self-archiving or deposit…” | nb_NO |
dc.source.pagenumber | 554–561 | nb_NO |
dc.source.volume | 84 | nb_NO |
dc.source.journal | Psychometrika | nb_NO |
dc.source.issue | 2 | nb_NO |
dc.identifier.doi | https://doi.org/10.1007/s11336-019-09663-8 | |
dc.identifier.cristin | 1684309 | |
cristin.unitcode | 158,3,0,0 | |
cristin.unitname | Institutt for samfunnsøkonomi | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |