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Harmonizing bifactor models of psychopathology between distinct assessment instruments: reliability, measurement invariance, and authenticity

Hoffmann, Maurício Scopel, Moore, Tyler Maxwell, Axelrud, Luiza Kvitko, Tottenham, Nim, Rohde, Luis Augusto, Milham, Michael Peter, Satterthwaite, Theodore Daniel and Salum, Giovanni Abrahão (2023) Harmonizing bifactor models of psychopathology between distinct assessment instruments: reliability, measurement invariance, and authenticity. International Journal of Methods in Psychiatric Research. ISSN 1049-8931

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Identification Number: 10.1002/mpr.1959


Objectives: Model configuration is important for mental health data harmonization. We provide a method to investigate the performance of different bifactor model configurations to harmonize different instruments. Methods: We used data from six samples from the Reproducible Brain Charts initiative (N = 8,606, ages 5–22 years, 41.0% females). We harmonized items from two psychopathology instruments, Child Behavior Checklist (CBCL) and GOASSESS, based on semantic content. We estimated bifactor models using confirmatory factor analysis, and calculated their model fit, factor reliability, between-instrument invariance, and authenticity (i.e., the correlation and factor score difference between the harmonized and original models). Results: Five out of 12 model configurations presented acceptable fit and were instrument-invariant. Correlations between the harmonized factor scores and the original full-item models were high for the p-factor (>0.89) and small to moderate (0.12–0.81) for the specific factors. 6.3%–50.9% of participants presented factor score differences between harmonized and original models higher than 0.5 z-score. Conclusions: The CBCL-GOASSESS harmonization indicates that few models provide reliable specific factors and are instrument-invariant. Moreover, authenticity was high for the p-factor and moderate for specific factors. Future studies can use this framework to examine the impact of harmonizing instruments in psychiatric research.

Item Type: Article
Additional Information: © 2023 The Author(s).
Divisions: Personal Social Services Research Unit
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Date Deposited: 14 Feb 2023 16:39
Last Modified: 20 Feb 2023 14:06

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