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ISER Working Paper Series, Institute for Social and Economic Research (ISER), University of Essex >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10419/65935
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Full metadata record
| DC Field | | Value | | Language |
| dc.contributor.author | | Pudney, Stephen | | en_US |
| dc.date.accessioned | | 2012-11-06T14:52:10Z | | - |
| dc.date.available | | 2012-11-06T14:52:10Z | | - |
| dc.date.issued | | 2011 | | en_US |
| dc.identifier.uri | | http://hdl.handle.net/10419/65935 | | - |
| dc.description.abstract | | Factor 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_US |
| dc.language.iso | | eng | | en_US |
| dc.publisher | | ISER Colchester | | en_US |
| dc.relation.ispartofseries | | ISER Working Paper Series 2011-05 | | en_US |
| dc.subject.jel | | C12 | | en_US |
| dc.subject.jel | | C38 | | en_US |
| dc.subject.jel | | I10 | | en_US |
| dc.subject.ddc | | 330 | | en_US |
| dc.subject.keyword | | Factor rotation | | en_US |
| dc.subject.keyword | | Inequality constraints | | en_US |
| dc.subject.keyword | | Chen-Szroeter test | | en_US |
| dc.subject.keyword | | Disability | | en_US |
| dc.title | | Factor rotation with non-negativity constraints | | en_US |
| dc.type | | Working Paper | | en_US |
| dc.identifier.ppn | | 655004459 | | en_US |
| dc.rights | | http://www.econstor.eu/dspace/Nutzungsbedingungen | | en_US |
| Appears in Collections: | | ISER Working Paper Series, Institute for Social and Economic Research (ISER), University of Essex
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