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A Model‐Based Cluster Analysis of Maternal Emotion Regulation and Relations to Parenting Behavior

  • Anne Shaffer
  • , Monica Whitehead
  • , Molly Davis
  • , Diana Morelen
  • , Cynthia Suveg
  • University of Georgia
  • University of Georiga

Research output: Contribution to journalArticlepeer-review

Abstract

In a diverse community sample of mothers (N = 108) and their preschool-aged children (Mage = 3.50 years), this study conducted person-oriented analyses of maternal emotion regulation (ER) based on a multimethod assessment incorporating physiological, observational, and self-report indicators. A model-based cluster analysis was applied to five indicators of maternal ER: maternal self-report, observed negative affect in a parent-child interaction, baseline respiratory sinus arrhythmia (RSA), and RSA suppression across two laboratory tasks. Model-based cluster analyses revealed four maternal ER profiles, including a group of mothers with average ER functioning, characterized by socioeconomic advantage and more positive parenting behavior. A dysregulated cluster demonstrated the greatest challenges with parenting and dyadic interactions. Two clusters of intermediate dysregulation were also identified. Implications for assessment and applications to parenting interventions are discussed.

Original languageAmerican English
Pages (from-to)707-718
JournalFamily Process
Volume57
Issue number3
DOIs
StatePublished - Sep 1 2018

Keywords

  • child outcomes
  • maternal emotion
  • model-based cluster analysis
  • parenting

Disciplines

  • Psychiatric and Mental Health

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