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Article: Assessing local influence for specific restricted likelihood: Application to factor analysis

TitleAssessing local influence for specific restricted likelihood: Application to factor analysis
Authors
KeywordsFactor analysis
Local influence
Parameter restricted statistical model
Sensitivity analysis
Issue Date1998
PublisherSpringer New York LLC. The Journal's web site is located at http://www.psychometrika.org
Citation
Psychometrika, 1998, v. 63 n. 1, p. 35-46 How to Cite?
AbstractIn restricted statistical models, since the first derivatives of the likelihood displacement are often nonzero, the commonly adopted formulation for local influence analysis is not appropriate. However, there are two kinds of model restrictions in which the first derivatives of the likelihood displacement are still zero. General formulas for assessing local influence under these restrictions are derived and applied to factor analysis as the usually used restriction in factor analysis satisfies the conditions. Various influence schemes are introduced and a comparison to the influence function approach is discussed. It is also shown that local influence for factor analysis is invariant to the scale of the data and is independent of the rotation of the factor loadings.
Persistent Identifierhttp://hdl.handle.net/10722/82857
ISSN
2015 Impact Factor: 1.831
2015 SCImago Journal Rankings: 2.153
References

 

DC FieldValueLanguage
dc.contributor.authorKwan, CWen_HK
dc.contributor.authorFung, WKen_HK
dc.date.accessioned2010-09-06T08:34:12Z-
dc.date.available2010-09-06T08:34:12Z-
dc.date.issued1998en_HK
dc.identifier.citationPsychometrika, 1998, v. 63 n. 1, p. 35-46en_HK
dc.identifier.issn0033-3123en_HK
dc.identifier.urihttp://hdl.handle.net/10722/82857-
dc.description.abstractIn restricted statistical models, since the first derivatives of the likelihood displacement are often nonzero, the commonly adopted formulation for local influence analysis is not appropriate. However, there are two kinds of model restrictions in which the first derivatives of the likelihood displacement are still zero. General formulas for assessing local influence under these restrictions are derived and applied to factor analysis as the usually used restriction in factor analysis satisfies the conditions. Various influence schemes are introduced and a comparison to the influence function approach is discussed. It is also shown that local influence for factor analysis is invariant to the scale of the data and is independent of the rotation of the factor loadings.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.subjectFactor analysisen_HK
dc.subjectLocal influenceen_HK
dc.subjectParameter restricted statistical modelen_HK
dc.subjectSensitivity analysisen_HK
dc.titleAssessing local influence for specific restricted likelihood: Application to factor analysisen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0033-3123&volume=63&spage=35&epage=46&date=1998&atitle=Assessing+local+influence+for+specific+restricted+likelihood:+Application+to+factor+analysisen_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/BF02295435-
dc.identifier.scopuseid_2-s2.0-0032332392en_HK
dc.identifier.hkuros34139en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032332392&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume63en_HK
dc.identifier.issue1en_HK
dc.identifier.spage35en_HK
dc.identifier.epage46en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridKwan, CW=7201421220en_HK
dc.identifier.scopusauthoridFung, WK=13310399400en_HK

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