Factor rotation with non-negativity constraints
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 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.
Year of publication: |
2011-02-14
|
---|---|
Authors: | Pudney, Stephen |
Institutions: | ESRC Research Centre on Micro-Social Change, Institute for Social and Economic Research (ISER) |
Saved in:
freely available
Saved in favorites
Similar items by person
-
What you don't see can't hurt you? Panel data analysis and the dynamics of unobservable factors
Hernandez, Monica, (2011)
-
Pudney, Stephen, (2010)
-
Initiation into crime: an analysis of Norwegian register data on five birth cohorts
Galloway, Taryn A., (2011)
- More ...