Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/65935 
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPudney, Stephenen
dc.date.accessioned2012-11-06T14:52:10Z-
dc.date.available2012-11-06T14:52:10Z-
dc.date.issued2011-
dc.identifier.urihttp://hdl.handle.net/10419/65935-
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 load- ings. 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|aUniversity of Essex, Institute for Social and Economic Research (ISER) |cColchesteren
dc.relation.ispartofseries|aISER Working Paper Series |x2011-05en
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.ppn655004459en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

Files in This Item:
File
Size
342.19 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.