The Guttman-Kaiser Criterion as a Predictor of the Number of Common Factors

The Guttman-Kaiser Criterion as a Predictor of the Number of Common Factors

This article evaluates the performance of the Guttman-Kaiser criterion in determining the number of significant components or factors in a correlation matrix.

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Veröffentlicht in:Journal of the Royal Statistical Society. Series D (The Statistician) 1982-09, Vol.31 (3), p.221-229
Hauptverfasser: Yeomans, Keith A., Golder, Paul A.
Format: Artikel
Sprache:eng
Schlagworte:
Correlations
Datasets
Eigenvalues
Factor analysis
Maximum likelihood estimation
Statistical variance
Zero
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Beschreibung
Zusammenfassung:This article evaluates the performance of the Guttman-Kaiser criterion in determining the number of significant components or factors in a correlation matrix.
ISSN:0039-0526
1467-9884
DOI:10.2307/2987988