The Latent Structure of Interpersonal Problems: Validity of Dimensional, Categorical, and Hybrid Models

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dc.contributor.authorWendt, Leon P.en
dc.contributor.authorWright, Aidan G. C.en
dc.contributor.authorPilkonis, Paul A.en
dc.contributor.authorNolte, Tobiasen
dc.contributor.authorFonagy, Peteren
dc.contributor.authorMontague, P. Readen
dc.contributor.authorBenecke, Corden
dc.contributor.authorKrieger, Tobiasen
dc.contributor.authorZimmermann, Johannesen
dc.date.accessioned2021-10-08T13:02:33Zen
dc.date.available2021-10-08T13:02:33Zen
dc.date.issued2019-11-01en
dc.date.updated2021-10-08T13:02:30Zen
dc.description.abstractInterpersonal problems are key transdiagnostic constructs in psychopathology. In the past, investigators have neglected the importance of operationalizing interpersonal problems according to their latent structure by using divergent representations of the construct: (a) computing scores for severity, agency, and communion ("dimensional approach"), (b) classifying persons into subgroups with respect to their interpersonal profile ("categorical approach"). This hinders cumulative research on interpersonal problems, because findings cannot be integrated both from a conceptual and a statistical point of view. We provide a comprehensive evaluation of interpersonal problems by enlisting several large samples (Ns = 5,400, 491, 656, and 712) to estimate a set of latent variable candidate models, covering the spectrum of purely dimensional (i.e., confirmatory factor analysis using Gaussian and nonnormal latent t-distributions), hybrid (i.e., semiparametric factor analysis), and purely categorical approaches (latent class analysis). Statistical models were compared with regard to their structural validity, as evaluated by model fit (corrected Akaike's information criterion and the Bayesian information criterion), and their concurrent validity, as defined by the models' ability to predict relevant external variables. Across samples, the fully dimensional model performed best in terms of model fit, prediction, robustness, and parsimony. We found scant evidence that categorical and hybrid models provide incremental value for understanding interpersonal problems. Our results indicate that the latent structure of interpersonal problems is best represented by continuous dimensions, especially when one allows for nonnormal latent distributions. (PsycINFO Database Record (c) 2019 APA, all rights reserved).en
dc.description.versionPublished versionen
dc.format.extentPages 823-839en
dc.format.extent17 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1037/abn0000460en
dc.identifier.eissn1939-1846en
dc.identifier.issn0021-843Xen
dc.identifier.issue8en
dc.identifier.other2019-57609-001 (PII)en
dc.identifier.pmid31556632en
dc.identifier.urihttp://hdl.handle.net/10919/105209en
dc.identifier.volume128en
dc.language.isoenen
dc.publisherAmerican Psychological Associationen
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000492836600006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectLife Sciences & Biomedicineen
dc.subjectPsychology, Clinicalen
dc.subjectPsychiatryen
dc.subjectPsychologyen
dc.subjectinterpersonal problemsen
dc.subjectfactor mixture modelingen
dc.subjectnonnormal factor distributionen
dc.subjectconfirmatory factor analysisen
dc.subjectlatent class analysisen
dc.subjectCIRCUMPLEX STRUCTUREen
dc.subjectTHERAPEUTIC ALLIANCEen
dc.subjectSCHIZOTYPAL PERSONALITYen
dc.subjectPSYCHOMETRIC PROPERTIESen
dc.subjectEXPERIENTIAL AVOIDANCEen
dc.subjectINTERRATER RELIABILITYen
dc.subjectCONSTRUCT-VALIDITYen
dc.subjectSOCIAL ANXIETYen
dc.subjectINVENTORYen
dc.subjectDISORDERen
dc.subjectClinical Psychologyen
dc.subject1701 Psychologyen
dc.subject1702 Cognitive Sciencesen
dc.subject.meshHumansen
dc.subject.meshFactor Analysis, Statisticalen
dc.subject.meshModels, Statisticalen
dc.subject.meshBayes Theoremen
dc.subject.meshLongitudinal Studiesen
dc.subject.meshReproducibility of Resultsen
dc.subject.meshInterpersonal Relationsen
dc.subject.meshAdolescenten
dc.subject.meshAdulten
dc.subject.meshFemaleen
dc.subject.meshMaleen
dc.subject.meshConflict, Psychologicalen
dc.titleThe Latent Structure of Interpersonal Problems: Validity of Dimensional, Categorical, and Hybrid Modelsen
dc.title.serialJournal of Abnormal Psychologyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciencesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Virginia Tech Carilion Research Instituteen
pubs.organisational-group/Virginia Tech/Faculty of Health Sciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciences/Durelle Scotten

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