Jolliffe, Ian T., Morgan, Byron J. T. (1992) Principal component analysis and explanatory factor analysis. Statistical Methods in Medical Research, 1 (1). pp. 69-95. ISSN 0962-2802. (doi:10.1177/096228029200100105) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:33094)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: http://dx.doi.org/10.1177/096228029200100105 |
Abstract
In this paper we compare and contrast the objectives of principal component analysis and explanatory factor analysis. This is done through consideration of nine examples. Basic theory is presented in appendices. As well as covering the standard material, we also describe a number of recent developments. As an alternative to factor analysis, it is pointed out that in some cases it may be useful to rotate certain principal components if and when that is appropriate.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1177/096228029200100105 |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
| Depositing User: | Byron Morgan |
| Date Deposited: | 23 Jan 2013 12:58 UTC |
| Last Modified: | 05 Nov 2024 10:15 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/33094 (The current URI for this page, for reference purposes) |
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