Using machine learning to understand age and gender classification based on infant temperament

Age and gender differences are prominent in the temperament literature, with the former particularly salient in infancy and the latter noted as early as the first year of life. This study represents a meta-analysis utilizing Infant Behavior Questionnaire-Revised (IBQ-R) data collected across multipl...

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Detalles Bibliográficos
Autores principales: Gartstein, Maria A., Seamon, D. Erich, Mattera, Jennifer A., Bosquet Enlow, Michelle, Wright, Rosalind J., Perez-Edgar, Koraly, Buss, Kristin A., LoBue, Vanessa, Bell, Martha Ann, Goodman, Sherryl H., Spieker, Susan, Bridgett, David J., Salisbury, Amy L., Gunnar, Megan R., Mliner, Shanna B., Muzik, Maria, Stifter, Cynthia A., Planalp, Elizabeth M., Mehr, Samuel A., Spelke, Elizabeth S., Lukowski, Angela F., Groh, Ashley M., Lickenbrock, Diane M., Santelli, Rebecca, Du Rocher Schudlich, Tina, Anzman-Frasca, Stephanie, Thrasher, Catherine, Diaz, Anjolii, Dayton, Carolyn, Moding, Kameron J., Jordan, Evan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007342/
https://www.ncbi.nlm.nih.gov/pubmed/35417495
http://dx.doi.org/10.1371/journal.pone.0266026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007342/
https://www.ncbi.nlm.nih.gov/pubmed/35417495
http://dx.doi.org/10.1371/journal.pone.0266026

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