How Robust Is the "P"-Factor? Using Multitrait-Multimethod Modeling to Inform the Meaning of General Factors of Psychopathology in Youth

Autor/inn/en	Watts, Ashley L.; Makol, Bridget A.; Palumbo, Isabella M.; De Los Reyes, Andres; Olino, Thomas M.; Latzman, Robert D.; DeYoung, Colin G.; Wood, Phillip K.; Sher, Kenneth J.
Titel	How Robust Is the "P"-Factor? Using Multitrait-Multimethod Modeling to Inform the Meaning of General Factors of Psychopathology in Youth
Quelle	(2022), (44 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Watts, Ashley L.) ORCID (Olino, Thomas M.) ORCID (Latzman, Robert D.) Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Multitrait Multimethod Techniques; Robustness (Statistics); Psychopathology; Youth; Statistical Bias; Data Interpretation; Correlation; Symptoms (Individual Disorders); Disclosure + Suchen Sie Ihr Suchwort? Widerstandsfähigkeit; Psychopathologie; Jugend; Jugendlicher; Jugendalter; Data evaluation; Datenauswertung; Korrelation; Psychiatrische Symptomatik
Abstract	We used multitrait-multimethod (MTMM) modeling to examine general factors of psychopathology in three samples of youth (Ns = 2119, 303, 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 is 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. [This paper was published in "Clinical Psychological Science" v10 n4 p640-661 2022.] (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01