P-Factor(s) for Youth Psychopathology Across Informants and Models in 24 Societies

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dc.authorid0000-0002-1537-0982
dc.authorid0000-0002-3223-5467
dc.authorid0000-0002-5838-556X
dc.contributor.authorAchenbach, Thomas M.
dc.contributor.authorIvanova, Masha Y.
dc.contributor.authorTurner, Lori V.
dc.contributor.authorRitz, Hannah
dc.contributor.authorAlmqvist, Fredrik
dc.contributor.authorBilenberg, Niels
dc.contributor.authorVerhulst, Frank C.
dc.date.accessioned2026-04-04T18:55:42Z
dc.date.available2026-04-04T18:55:42Z
dc.date.issued2025
dc.departmentİstanbul Bilgi Üniversitesi
dc.description.abstractObjectiveAlthough the significance of the general factor of psychopathology (p) is being increasingly recognized, it remains unclear how to best operationalize and measure p. To test variations in the operationalizations of p and make practical recommendations for its assessment, we compared p-factor scores derived from four models. MethodsWe compared p scores derived from principal axis (Model 1), hierarchical factor (Model 2), and bifactor (Model 3) analyses, plus a Total Problem score (sum of unit-weighted ratings of all problem items; Model 4) for parent- and self-rated youth psychopathology from 24 societies. Separately for each sample, we fitted the models to parent-ratings on the Child Behavior Checklist for Ages 6-18 (CBCL/6-18) and self-ratings on the Youth Self-Report (YSR) for 25,643 11-18-year-olds. Separately for each sample, we computed correlations between p-scores obtained for each pair of models, cross-informant correlations between p-scores for each model, and Q-correlations between mean item x p-score correlations for each pair of models. ResultsResults were similar for all models, as indicated by correlations of .973-.994 between p-scores for Models 1-4, plus similar cross-informant correlations between CBCL/6-18 and YSR Model 1-4 p-scores. Item x p correlations had similar rank orders between Models 1-4, as indicated by Q correlations of .957-.993. ConclusionsThe similar results obtained for Models 1-4 argue for using the simplest model - the unit-weighted Total Problem score - to measure p for clinical and research assessment of youth psychopathology. Practical methods for measuring p may advance the field toward transdiagnostic patterns of problems.
dc.identifier.doi10.1080/15374416.2024.2344159
dc.identifier.doi10.1080/15374416.2024.2344159
dc.identifier.endpage327
dc.identifier.issn1537-4416
dc.identifier.issn1537-4424
dc.identifier.issue3
dc.identifier.pmid38805627
dc.identifier.scopus2-s2.0-85198849407
dc.identifier.scopusqualityQ1
dc.identifier.startpage318
dc.identifier.urihttps://doi.org/10.1080/15374416.2024.2344159
dc.identifier.urihttps://hdl.handle.net/11411/10535
dc.identifier.volume54
dc.identifier.wosWOS:001234360100001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherRoutledge Journals, Taylor & Francis Ltd
dc.relation.ispartofJournal of Clinical Child and Adolescent Psychology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260402
dc.snmzKA_Scopus_20260402
dc.subjectChild-Behavior Checklist
dc.subjectP Factor
dc.subjectEmotional-Problems
dc.subjectMental-Health
dc.subjectParent
dc.subjectValidity
dc.subjectTeacher
dc.subjectCbcl
dc.titleP-Factor(s) for Youth Psychopathology Across Informants and Models in 24 Societies
dc.typeArticle

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