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dc.contributor.authorPudney, Stephenen_US
dc.date.accessioned2011-02-03en_US
dc.date.accessioned2012-10-16T13:10:34Z-
dc.date.available2012-10-16T13:10:34Z-
dc.date.issued2011en_US
dc.identifier.pidoi:10.1920/wp.cem.2011.0211en_US
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_US
dc.language.isoengen_US
dc.publisherCentre for Microdata Methods and Practice (cemmap) Londonen_US
dc.relation.ispartofseriescemmap working paper CWP02/11en_US
dc.subject.jelC12en_US
dc.subject.jelC38en_US
dc.subject.jelI10en_US
dc.subject.ddc330en_US
dc.subject.keywordFactor rotationen_US
dc.subject.keywordInequality constraintsen_US
dc.subject.keywordChen-Szroeter testen_US
dc.subject.keywordDisabilityen_US
dc.titleFactor rotation with non-negativity constraintsen_US
dc.typeWorking Paperen_US
dc.identifier.ppn645167312en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
Appears in Collections:cemmap working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies (IFS)

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