File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Sensitivity analysis in factor analysis: Difference between using covariance and correlation matrices

TitleSensitivity analysis in factor analysis: Difference between using covariance and correlation matrices
Authors
Keywordscorrelation matrix
covariance matrix
influence curves
influential observations
sensitivity analysis
standardization
Issue Date1995
PublisherSpringer New York LLC. The Journal's web site is located at http://www.psychometrika.org
Citation
Psychometrika, 1995, v. 60 n. 4, p. 607-614 How to Cite?
AbstractInfluence curves of some parameters under various methods of factor analysis have been given in the literature. These influence curves depend on the influence curves for either the covariance or the correlation matrix used in the analysis. The differences between the influence curves based on the covariance and the correlation matrices are derived in this paper. Simple formulas for the differences of the influence curves, based on the two matrices, for the unique variance matrix, factor loadings and some other parameter are obtained under scale-invariant estimation methods, though the influence curves themselves are in complex forms. © 1995 The Psychometric Society.
Persistent Identifierhttp://hdl.handle.net/10722/82995
ISSN
2015 Impact Factor: 1.831
2015 SCImago Journal Rankings: 2.153
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorFung, WKen_HK
dc.contributor.authorKwan, CWen_HK
dc.date.accessioned2010-09-06T08:35:44Z-
dc.date.available2010-09-06T08:35:44Z-
dc.date.issued1995en_HK
dc.identifier.citationPsychometrika, 1995, v. 60 n. 4, p. 607-614en_HK
dc.identifier.issn0033-3123en_HK
dc.identifier.urihttp://hdl.handle.net/10722/82995-
dc.description.abstractInfluence curves of some parameters under various methods of factor analysis have been given in the literature. These influence curves depend on the influence curves for either the covariance or the correlation matrix used in the analysis. The differences between the influence curves based on the covariance and the correlation matrices are derived in this paper. Simple formulas for the differences of the influence curves, based on the two matrices, for the unique variance matrix, factor loadings and some other parameter are obtained under scale-invariant estimation methods, though the influence curves themselves are in complex forms. © 1995 The Psychometric Society.en_HK
dc.languageengen_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://www.psychometrika.orgen_HK
dc.relation.ispartofPsychometrikaen_HK
dc.subjectcorrelation matrixen_HK
dc.subjectcovariance matrixen_HK
dc.subjectinfluence curvesen_HK
dc.subjectinfluential observationsen_HK
dc.subjectsensitivity analysisen_HK
dc.subjectstandardizationen_HK
dc.titleSensitivity analysis in factor analysis: Difference between using covariance and correlation matricesen_HK
dc.typeArticleen_HK
dc.identifier.emailFung, WK: wingfung@hku.hken_HK
dc.identifier.authorityFung, WK=rp00696en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/BF02294330en_HK
dc.identifier.scopuseid_2-s2.0-0345968700en_HK
dc.identifier.hkuros11578en_HK
dc.identifier.volume60en_HK
dc.identifier.issue4en_HK
dc.identifier.spage607en_HK
dc.identifier.epage614en_HK
dc.identifier.isiWOS:A1995TK31500007-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridFung, WK=13310399400en_HK
dc.identifier.scopusauthoridKwan, CW=7201421220en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats