cad a22 4500 569329752 20200418035306.0 cr unu---uuuuu 190727e20191102xx s 000 0 eng 10.5167/uzh-166448 doi 10.1080/00223891.2018.1468338 doi (ZORA)oai:www.zora.uzh.ch:166448 370 ddc 29787294 pmid Quantifying the strength of general factors in psychopathology: A comparison of CFA with maximum likelihood estimation, BSEM and ESEM/EFA bi-factor approaches [Elektronische Daten] [A L Murray, T Booth, Manuel Eisner, I Obsuth, D Ribeaud] openAccess eu-repo Whether or not importance should be placed on an all-encompassing general factor of psychopathology (or p factor) in classifying, researching, diagnosing, and treating psychiatric disorders depends (among other issues) on the extent to which comorbidity is symptom-general rather than staying largely within the confines of narrower transdiagnostic factors such as internalizing and externalizing. In this study, we compared three methods of estimating p factor strength. We compared omega hierarchical and explained common variance calculated from confirmatory factor analysis (CFA) bifactor models with maximum likelihood (ML) estimation, from exploratory structural equation modeling/exploratory factor analysis models with a bifactor rotation, and from Bayesian structural equation modeling (BSEM) bifactor models. Our simulation results suggested that BSEM with small variance priors on secondary loadings might be the preferred option. However, CFA with ML also performed well provided secondary loadings were modeled. We provide two empirical examples of applying the three methodologies using a normative sample of youth (z-proso, n = 1,286) and a university counseling sample (n = 359). Jacobs Center for Productive Youth Development zora Murray A L. joint author Booth T. joint author Eisner Manuel joint author Obsuth I. joint author Ribeaud D. joint author Journal of Personality Assessment 101(6):631-643 https://www.zora.uzh.ch/id/eprint/166448/1/Murray%2B_QuantifyingStrengthOfGenFactorsInPsychpatho_JPersAssess18_-_accepted.pdf text/html WWW-Backlink auf das Repository 1 Journal Article PeerReviewed zora ZORA 856 40 https://www.zora.uzh.ch/id/eprint/166448/1/Murray%2B_QuantifyingStrengthOfGenFactorsInPsychpatho_JPersAssess18_-_accepted.pdf text/html WWW-Backlink auf das Repository ZORA 700 1- Murray A L. joint author ZORA 700 1- Booth T. joint author ZORA 700 1- Eisner Manuel joint author ZORA 700 1- Obsuth I. joint author ZORA 700 1- Ribeaud D. joint author ZORA 773 0- Journal of Personality Assessment 101(6):631-643 BK010053 XK010053 XK010000 ZORA ZORA ZORA Journal Article openAccess