The Manifest Association Structure of the Single-Factor Model: Insights from Partial Correlations

The association structure between manifest variables arising from the single-factor model is investigated using partial correlations. The additional insights to the practitioner provided by partial correlations for detecting a single-factor model are discussed. The parameter space for the partial co...

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Veröffentlicht in:	Psychometrika 2008-12, Vol.73 (4), p.665-670
Hauptverfasser:	Salgueiro, Maria de Fátima, Smith, Peter W. F., McDonald, John W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Assessment Behavioral Science and Psychology Biological and medical sciences Business Schools Correlation Discriminant analysis Error of Measurement Factor Analysis Fundamental and applied biological sciences. Psychology Humanities Law Population Psychology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychometrics Psychometrics. Statistics. Methodology Quantitative psychology Random variables Statistical Analysis Statistical Theory and Methods Statistics for Social Sciences Statistics. Mathematics Testing and Evaluation Theory and Methods
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Beschreibung
Zusammenfassung:	The association structure between manifest variables arising from the single-factor model is investigated using partial correlations. The additional insights to the practitioner provided by partial correlations for detecting a single-factor model are discussed. The parameter space for the partial correlations is presented, as are the patterns of signs in a matrix containing the partial correlations that are not compatible with a single-factor model.
ISSN:	0033-3123 1860-0980
DOI:	10.1007/s11336-007-9037-9