## Abstract In a sample of 543 adult National Health Service (NHS) patients referred to a Psychological Therapies Service, the responses to the Clinical Outcomes in Routine EvaluationโOutcome Measure (COREโOM) selfโreport questionnaire were examined using conventional principal components analysis
The effect of domain shape on principal components analyses: A reply
โ Scribed by David R. Legates
- Publisher
- John Wiley and Sons
- Year
- 1993
- Tongue
- English
- Weight
- 916 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0899-8418
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
In a previous paper, I reevaluated the domain shape dependence arguments of Buell and concluded that โunrotatedโ principal components do represent, to a very large degree, the underlying structure represented in the dispersion matrix. Richman's comments are largely based as a defence of component rotationโa subject that was not addressed in my original paper. It is my thesis that much of the alleged uninterpretability of โunrotatedโ components stems from an attempt to retrieve characteristic scenarios or โmodes of the variationโ (which PCA does not purport to do) and not from an overdependence on the shape of the domain. This misapplication often results from a confusion of the goals of principal components analysis and common factor analysis as is evidenced in Richman's comments.
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