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Autor/inn/en | Stifter, Cynthia A.; Rovine, Michael |
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Titel | Modeling Dyadic Processes Using Hidden Markov Models: A Time Series Approach to Mother-Infant Interactions during Infant Immunization |
Quelle | In: Infant and Child Development, 24 (2015) 3, S.298-321 (24 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1522-7227 |
DOI | 10.1002/icd.1907 |
Schlagwörter | Markov Processes; Mothers; Infants; Parent Child Relationship; Immunization Programs; Longitudinal Studies; Crying; Emotional Response; Infant Behavior; Infant Care Markowscher Prozess; Mother; Mutter; Infant; Toddler; Toddlers; Kleinkind; Parents-child relationship; Parent-child-relation; Parent-child relationship; Eltern-Kind-Beziehung; Immunisierung; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Weinen; Emotionales Verhalten; Säuglingspflege |
Abstract | The focus of the present longitudinal study, to examine mother-infant interaction during the administration of immunizations at 2 and 6?months of age, used hidden Markov modelling, a time series approach that produces latent states to describe how mothers and infants work together to bring the infant to a soothed state. Results revealed a four-state model for the dyadic responses to a 2-month inoculation whereas a six-state model best described the dyadic process at 6?months. Two of the states at 2?months and three of the states at 6?months suggested a progression from high-intensity crying to no crying with parents using vestibular and auditory soothing methods. The use of feeding and/or pacifying to soothe the infant characterized one 2-month state and two 6-month states. These data indicate that with maturation and experience, the mother-infant dyad is becoming more organized around the soothing interaction. Using hidden Markov modelling to describe individual differences, as well as normative processes, is also presented and discussed. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |