dear Man-Fung Lo,
the explanation is fairly simple. SPSS, as well as SAS and many other Stat Packs, use to start from a principal components solution for the extraction of the initial factor pattern. Because the coreelation matrix is simmetric, all eigenvalues are positive but this doesn't mean that factors have their directions concordant with the variables that load them. Often the factor ha an opposite direction and this leads to negative loadings. Why this happens for all variables is due to the problem in hand that makes things behave as they do in your case.
Ulderico.
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Ulderico Santarelli
Business Consultant
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Original Message:
Sent: 06-26-2015 02:17
From: Man-Fung Lo
Subject: Exploratory Factor Analysis
Dear fellow,
I conduct a EFA and obtain a pattern matrix through SPSS.
For one of the component, all the factor loading are with negative sign. May I know the interpretation?
Any official references to explain this?
Thanks so much!
Kelvin