Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/64654 
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dc.contributor.authorPudney, Stephenen
dc.date.accessioned2011-02-03-
dc.date.accessioned2012-10-16T13:10:34Z-
dc.date.available2012-10-16T13:10:34Z-
dc.date.issued2011-
dc.identifier.pidoi:10.1920/wp.cem.2011.0211en
dc.identifier.urihttp://hdl.handle.net/10419/64654-
dc.description.abstractFactor rotation is widely used to interpret the estimated factor loadings from latent variable models. Rotation methods embody a priori concepts of 'complexity' of factor structures, which they seek to minimise. Surprisingly, it is rare for researchers to exploit one of the most common and powerful sources of a priori information: non-negativity of factor loadings. This paper develops a method of incorporating sign restrictions in factor rotation, exploiting a recently-developed test for multiple inequality constraints. An application to the measurement of disability demonstrates the feasibility of the method and the power of non-negativity restrictions.en
dc.language.isoengen
dc.publisher|aCentre for Microdata Methods and Practice (cemmap) |cLondonen
dc.relation.ispartofseries|acemmap working paper |xCWP02/11en
dc.subject.jelC12en
dc.subject.jelC38en
dc.subject.jelI10en
dc.subject.ddc330en
dc.subject.keywordFactor rotationen
dc.subject.keywordInequality constraintsen
dc.subject.keywordChen-Szroeter testen
dc.subject.keywordDisabilityen
dc.titleFactor rotation with non-negativity constraints-
dc.typeWorking Paperen
dc.identifier.ppn645167312en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:ifs:cemmap:02/11en

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