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Focused principal component analysis: a promising approach for confirming findings of exploratory analysis?

✍ Scribed by B. Falissard; E. Corruble; Luc Mallet; P. Hardy

Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
803 KB
Volume
10
Category
Article
ISSN
1049-8931

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✦ Synopsis

Abstract

In many psychiatric studies, the objective is to describe and understand relationships between a large set of quantitative variables, with a particular interest in the relationship between one variable (often regarded as a response) and the others (often regarded as explanatory).

This paper describes a new method to apply in such situations. It is based on principal components analysis (PCA). Like this technique, it conveys the structure of a correlation matrix into a low‐dimensional diagram but, unlike PCA, it makes it possible to represent accurately the correlations of a given variable with the other variables (and even to test graphically the hypothesis that one of these correlations is equal to zero). Two examples in the field of psychiatry research are provided. Copyright Β© 2001 Whurr Publishers Ltd.

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