Preschool and preadolescent antecedents of externalizing problems: a machine learning approach.
This study used a data-driven approach to elucidate the relative importance of child, maternal, and mother-child dyadic characteristics in predicting externalizing problems across two critical stages, preschool and preadolescence, that mark the development of externalizing problems. Data (N = 1,364)...
| Publicado en: | European Child & Adolescent Psychiatry Vol. 34; no. 11; pp. 3401 - 3414 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |