Principal component analysis and explanatory factor analysis

Jolliffe, Ian T. and 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:https://doi.org/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)

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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
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Faculties > Sciences > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Byron Morgan
Date Deposited: 23 Jan 2013 12:58 UTC
Last Modified: 10 Jul 2014 15:33 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/33094 (The current URI for this page, for reference purposes)
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