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- Publisher Website: 10.1007/BF02294330
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- WOS: WOS:A1995TK31500007
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Article: Sensitivity analysis in factor analysis: Difference between using covariance and correlation matrices
Title | Sensitivity analysis in factor analysis: Difference between using covariance and correlation matrices |
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Authors | |
Keywords | correlation matrix covariance matrix influence curves influential observations sensitivity analysis standardization |
Issue Date | 1995 |
Publisher | Springer 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? |
Abstract | Influence 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 Identifier | http://hdl.handle.net/10722/82995 |
ISSN | 2023 Impact Factor: 2.9 2023 SCImago Journal Rankings: 2.376 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Fung, WK | en_HK |
dc.contributor.author | Kwan, CW | en_HK |
dc.date.accessioned | 2010-09-06T08:35:44Z | - |
dc.date.available | 2010-09-06T08:35:44Z | - |
dc.date.issued | 1995 | en_HK |
dc.identifier.citation | Psychometrika, 1995, v. 60 n. 4, p. 607-614 | en_HK |
dc.identifier.issn | 0033-3123 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/82995 | - |
dc.description.abstract | Influence 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.language | eng | en_HK |
dc.publisher | Springer New York LLC. The Journal's web site is located at http://www.psychometrika.org | en_HK |
dc.relation.ispartof | Psychometrika | en_HK |
dc.subject | correlation matrix | en_HK |
dc.subject | covariance matrix | en_HK |
dc.subject | influence curves | en_HK |
dc.subject | influential observations | en_HK |
dc.subject | sensitivity analysis | en_HK |
dc.subject | standardization | en_HK |
dc.title | Sensitivity analysis in factor analysis: Difference between using covariance and correlation matrices | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Fung, WK: wingfung@hku.hk | en_HK |
dc.identifier.authority | Fung, WK=rp00696 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/BF02294330 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0345968700 | en_HK |
dc.identifier.hkuros | 11578 | en_HK |
dc.identifier.volume | 60 | en_HK |
dc.identifier.issue | 4 | en_HK |
dc.identifier.spage | 607 | en_HK |
dc.identifier.epage | 614 | en_HK |
dc.identifier.isi | WOS:A1995TK31500007 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Fung, WK=13310399400 | en_HK |
dc.identifier.scopusauthorid | Kwan, CW=7201421220 | en_HK |
dc.identifier.issnl | 0033-3123 | - |