Reliability and Validity of Bifactor Models of Dimensional Psychopathology in Youth

Autor(es)

Scopel Hoffmann, Mauricio ; Moore, Tyler Maxwell ; Axelrud, Luiza Kvitko ; Tottenham, Nim ; Zuo, Xi-Nian ; Rohde, Luis Augusto ; Milham, Michael Peter ; Satterthwaite, Theodore Daniel ; Salum, Giovanni Abrahao

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF PSYCHOPATHOLOGY AND CLINICAL SCIENCE; v. 131, n. 4, p. 15-pg., 2022-05-01.

Resumo

Bifactor models are a promising strategy to parse general from specific aspects of psychopathology in youth. Currently, there are multiple configurations of bifactor models originating from different theoretical and empirical perspectives. We aimed to test the reliability, validity, measurement invariance, and the correlation of different bifactor models of psychopathology using the Child Behavior Checklist (CBCL). We used data from the Reproducible Brain Charts (RBC) initiative (N = 7,011, ages 5 to 22 years, 40.2% females). Factor models were tested using the baseline data. To address our aim, we (a) searched for the published item-level bifactor models using the CBCL; (b) tested their global model fit; (c) calculated model-based reliability indices; (d) tested associations with symptoms' impact in everyday life; (e) tested measurement invariance across many characteristics, and (f) analyzed the observed factor correlation across the models. We found 11 bifactor models ranging from 39 to 116 items. Their global model fit was broadly similar. Factor determinacy and H index were acceptable for the p-factors, internalizing, externalizing, and somatic specific factors in most models. However, only the p- and attention factors predicted daily life symptoms' impact in all models. Models were broadly invariant across different characteristics. P-factors were highly correlated across models (r = .88 to .99) and homotypic specific factors were highly correlated. These results suggest that regardless of item selection and strategy to compose CBCL bifactor models, they assess very similar constructs. Taken together, our results support the robustness of the p-factor across distinct bifactor models and studies of distinct characteristics. General Scientific Summary This study supports the notion that models of psychopathology that separate what is general from what is specific in mental health problems have little impact from item selection and types of specific dimensions, at least while using the Child Behavior Checklist (CBCL). The general dimensions are highly correlated among different CBCL bifactor models, predict symptom impact in daily life, and are not influenced by demographic and clinical characteristics, time, and information. (AU)

• Processo FAPESP: 14/50917-0 - INCT 2014: psiquiatria do desenvolvimento para crianças e adolescentes
• Beneficiário: Eurípedes Constantino Miguel Filho
• Modalidade de apoio: Auxílio à Pesquisa - Temático