Using Vector Autoregression Modeling to Reveal Bidirectional Relationships in Gender/Sex-Related Interactions in Mother-Infant Dyads
| Autor: | Damian G. Kelty-Stephen, Anne Fausto-Sterling, Elizabeth G. Eason, Nicole S. Carver |
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| Rok vydání: | 2020 |
| Předmět: |
Longitudinal data
lcsh:BF1-990 Mother infant Context (language use) 050105 experimental psychology gender/sex Vector autoregression Developmental psychology 03 medical and health sciences 0302 clinical medicine vector autoregression Psychology mother–infant 0501 psychology and cognitive sciences development General Psychology Statistical hypothesis testing Original Research 05 social sciences fungi Contrast (statistics) Gender sex lcsh:Psychology dyads 030217 neurology & neurosurgery |
| Zdroj: | Frontiers in Psychology Frontiers in Psychology, Vol 11 (2020) |
| ISSN: | 1664-1078 |
| Popis: | 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 illustrate these capacities of VAR, we reanalyzed longitudinal data that recorded dyadic mother-infant interactions for 15 boys and 15 girls aged 3 to 11 months of age. We examined monthly counts of 15 infant behaviors and 13 maternal behaviors (Seifert et al., 1994). VAR models demonstrated that infant crawling predicted a subsequently close feedback loop from mothers of boys but a subsequently open ended, branched response from mothers of girls. A different finding showed that boys’ standing independently later predicted significant later increases of four maternal behaviors: rocking/jiggling, lifting, affectionate touching, and stimulation of infant gross-motor activity. In contrast, crawling by girls led mothers to later decrease the same maternal behaviors. Thus, VAR might allow us to identify how mothers respond differently during daily interactions depending on infant gender/sex. The present work intends mainly to showcase the VAR method in the specific context of the empirical study of gender/sex development. |
| Databáze: | OpenAIRE |
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