Using Vector Autoregression Modeling to Reveal Bidirectional Relationships in Gender/Sex-Related Interactions in Mother–Infant Dyads

Using Vector Autoregression Modeling to Reveal Bidirectional Relationships in Gender/Sex-Related Interactions in Mother–Infant Dyads

Vector autoregression (VAR) modeling allows probing bidirectional relationships in gender/sex development and may support hypothesis testing following multi-modal data collection. We show VAR in three lights: supporting a hypothesis, rejecting a hypothesis, and opening up new questions. To illustrat...

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Bibliographic Details
Main Authors: Elizabeth G. Eason, Nicole S. Carver, Damian G. Kelty-Stephen, Anne Fausto-Sterling
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-08-01
Series:Frontiers in Psychology
Subjects:
development
dyads
mother–infant
gender/sex
vector autoregression
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2020.01507/full

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