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Article: Measuring patterns of change in personality assessments: An annotated application of latent growth curve modeling

TitleMeasuring patterns of change in personality assessments: An annotated application of latent growth curve modeling
Authors
Issue Date2008
PublisherLawrence Erlbaum Associates, Inc. The Journal's web site is located at http://www.leaonline.com/loi/jpa
Citation
Journal Of Personality Assessment, 2008, v. 90 n. 6, p. 536-546 How to Cite?
AbstractLatent growth curve (LGC) modeling within the framework of structural equation modeling (SEM) is now highly regarded as one of the most powerful and informative approaches to the analysis of longitudinal data (see, e.g., Curran & Hussong, 2003). Whereas LGC modeling enables researchers to test for differences in developmental trajectories across time, conventional repeated measures analyses do not provide this opportunity. Nonetheless, a review of studies reported in most psychology journals reveals scant application of this methodological approach. One possible explanation for this limited use of LGC modeling is a lack of knowledge related to its application. The intent of this article, then, is to address this deficiency by presenting an annotated application of LGC modeling to health psychology data. Based on a sample of 405 Hong Kong Chinese women who recently underwent breast cancer surgery, we walk the readers through SEM modeling procedures that test for differences in both the initial status and rate of change in Psychological Morbidity and Social Adjustment at 1, 4, and 8 months postsurgery. We interpret findings from both a methodological and a substantive perspective. Copyright © Taylor & Francis Group, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/60301
ISSN
2015 Impact Factor: 2.258
2015 SCImago Journal Rankings: 1.458
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorByrne, BMen_HK
dc.contributor.authorLam, WWTen_HK
dc.contributor.authorFielding, Ren_HK
dc.date.accessioned2010-05-31T04:07:52Z-
dc.date.available2010-05-31T04:07:52Z-
dc.date.issued2008en_HK
dc.identifier.citationJournal Of Personality Assessment, 2008, v. 90 n. 6, p. 536-546en_HK
dc.identifier.issn0022-3891en_HK
dc.identifier.urihttp://hdl.handle.net/10722/60301-
dc.description.abstractLatent growth curve (LGC) modeling within the framework of structural equation modeling (SEM) is now highly regarded as one of the most powerful and informative approaches to the analysis of longitudinal data (see, e.g., Curran & Hussong, 2003). Whereas LGC modeling enables researchers to test for differences in developmental trajectories across time, conventional repeated measures analyses do not provide this opportunity. Nonetheless, a review of studies reported in most psychology journals reveals scant application of this methodological approach. One possible explanation for this limited use of LGC modeling is a lack of knowledge related to its application. The intent of this article, then, is to address this deficiency by presenting an annotated application of LGC modeling to health psychology data. Based on a sample of 405 Hong Kong Chinese women who recently underwent breast cancer surgery, we walk the readers through SEM modeling procedures that test for differences in both the initial status and rate of change in Psychological Morbidity and Social Adjustment at 1, 4, and 8 months postsurgery. We interpret findings from both a methodological and a substantive perspective. Copyright © Taylor & Francis Group, LLC.en_HK
dc.languageengen_HK
dc.publisherLawrence Erlbaum Associates, Inc. The Journal's web site is located at http://www.leaonline.com/loi/jpaen_HK
dc.relation.ispartofJournal of Personality Assessmenten_HK
dc.rightsJournal of Personality Assessment. Copyright © Lawrence Erlbaum Associates, Inc.en_HK
dc.subject.meshBreast Neoplasms - surgeryen_HK
dc.subject.meshFemaleen_HK
dc.subject.meshHong Kongen_HK
dc.subject.meshHumansen_HK
dc.subject.meshMiddle Ageden_HK
dc.subject.meshModels, Psychologicalen_HK
dc.subject.meshPersonality Assessmenten_HK
dc.subject.meshPsychometricsen_HK
dc.subject.meshQuestionnairesen_HK
dc.subject.meshSocial Adjustmenten_HK
dc.titleMeasuring patterns of change in personality assessments: An annotated application of latent growth curve modelingen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0022-3891&volume=90&issue=6&spage=536&epage=546&date=2008&atitle=Measuring+patterns+of+change+in+personality+assessments:+an+annotated+application+of+latent+growth+curve+modelingen_HK
dc.identifier.emailLam, WWT:wwtlam@hku.hken_HK
dc.identifier.emailFielding, R:fielding@hku.hken_HK
dc.identifier.authorityLam, WWT=rp00443en_HK
dc.identifier.authorityFielding, R=rp00339en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/00223890802388350en_HK
dc.identifier.pmid18925494-
dc.identifier.scopuseid_2-s2.0-54249104903en_HK
dc.identifier.hkuros153157en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-54249104903&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume90en_HK
dc.identifier.issue6en_HK
dc.identifier.spage536en_HK
dc.identifier.epage546en_HK
dc.identifier.isiWOS:000260431500002-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridByrne, BM=7101731001en_HK
dc.identifier.scopusauthoridLam, WWT=7203022022en_HK
dc.identifier.scopusauthoridFielding, R=7102200484en_HK
dc.identifier.citeulike3426307-

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