Evidence map›Paper›PMID 35511526›Full record

ArticleJournal of psychopathology and clinical science2022

Reliability and validity of bifactor models of dimensional psychopathology in youth.

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

Abstract read
In one paragraph

Article in Journal of psychopathology and clinical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. The general factor of psychopathology (p): Choosing among competing models and interpreting p.Clinical psychological science : a journal of the Association for Psychological Science · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Maurício Scopel HoffmannDepartment of Neuropsychiatry, Universidade Federal de Santa Maria.ORCID 0000-0003-4232-3169
Tyler Maxwell MooreDepartment of Psychiatry, University of Pennsylvania.ORCID 0000-0002-1384-0151
Luiza Kvitko AxelrudGraduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul.ORCID 0000-0001-7146-9103
Nim TottenhamDepartment of Psychology, Columbia University.ORCID 0000-0002-9574-4197
Xi-Nian ZuoState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University.ORCID 0000-0001-9110-585X
Luis Augusto RohdeGraduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul.ORCID 0000-0002-4552-4188
Michael Peter MilhamNathan S. Kline Institute for Psychiatric Research.
Theodore Daniel SatterthwaiteDepartment of Psychiatry, University of Pennsylvania.ORCID 0000-0001-7072-9399
Giovanni Abrahão SalumGraduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul.ORCID 0000-0002-7537-7289

Funding

Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
Beijing Municipal Science and Technology CommissionBeijing Normal University; Startup Funds for the Leading TalentsEuropean Research Council 337673Key-Area Research and Development Program of Guangdong ProvinceMajor Project of National Social Science Foundation of ChinaNational Institute of Development Psychiatric for Children and AdolescentNIH HHSNIMH NIH HHS R01 MH120482The Medical Research Council
6 · The paper itself

Abstract

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. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Indexed as

Mental DisordersModels, PsychologicalPsychopathologyAdolescentChecklistChildChild, PreschoolFemaleHumansMalePersonality TestsReproducibility of ResultsYoung Adult

Identifiers

PMID35511526
PMCPMC9328119

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.