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- W4200143273 abstract "We used multitrait-multimethod (MTMM) modeling to examine general factors of psychopathology in three samples of youths ( Ns = 2,119, 303, and 592) for whom three informants reported on the youth’s psychopathology (e.g., child, parent, teacher). Empirical support for the p-factor diminished in multi-informant models compared with mono-informant models: The correlation between externalizing and internalizing factors decreased, and the general factor in bifactor models essentially reflected externalizing. Widely used MTMM-informed approaches for modeling multi-informant data cannot distinguish between competing interpretations of the patterns of effects we observed, including that the p factor reflects, in part, evaluative consistency bias or that psychopathology manifests differently across contexts (e.g., home vs. school). Ultimately, support for the p factor may be stronger in mono-informant designs, although it does not entirely vanish in multi-informant models. Instead, the general factor of psychopathology in any given mono-informant model likely reflects a complex mix of variances, some substantive and some methodological." @default.
- W4200143273 created "2021-12-31" @default.
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- W4200143273 date "2021-12-17" @default.
- W4200143273 modified "2023-10-18" @default.
- W4200143273 title "How Robust Is the p Factor? Using Multitrait-Multimethod Modeling to Inform the Meaning of General Factors of Youth Psychopathology" @default.
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- W4200143273 doi "https://doi.org/10.1177/21677026211055170" @default.
- W4200143273 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36090949" @default.
- W4200143273 hasPublicationYear "2021" @default.
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