Identifying child temperament types using cluster analysis in three samples

Amanda Prokasky, Kathleen M Rudasill, Victoria J Molfese, Samuel Putnam, Maria Gartstein, Mary Rothbart

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Although previous research has explored the existence of temperament clusters in children, these studies have used single samples, reducing generalizability, and broad temperament constructs to identify clusters, obscuring fine-grained dimensional differences. To address these limitations, the current study identified a common cluster structure across two diverse samples of preschool children using the same fine-grained temperament measure (ns = 96, 187), then verified the cluster structure on a large, nationally-representative sample (n = 757). A consistent six-cluster solution was identified across the three samples: Unregulated, Regulated, High Reactive, Bold, Average, and Well-Adjusted. Demonstration of a replicable typology advances the understanding of temperament in childhood, and provides a parsimonious way to communicate complex information about a child's temperament to parents and caregivers.

Original languageEnglish (US)
Pages (from-to)190-201
Number of pages12
JournalJournal of Research in Personality
Volume67
DOIs
StatePublished - Apr 1 2017

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Temperament
Cluster Analysis
Preschool Children
Caregivers
Parents
Research

Keywords

  • Child temperament
  • Cluster analysis
  • Structure of temperament

ASJC Scopus subject areas

  • Social Psychology
  • Psychology(all)

Cite this

Identifying child temperament types using cluster analysis in three samples. / Prokasky, Amanda; Rudasill, Kathleen M; Molfese, Victoria J; Putnam, Samuel; Gartstein, Maria; Rothbart, Mary.

In: Journal of Research in Personality, Vol. 67, 01.04.2017, p. 190-201.

Research output: Contribution to journalArticle

Prokasky, Amanda ; Rudasill, Kathleen M ; Molfese, Victoria J ; Putnam, Samuel ; Gartstein, Maria ; Rothbart, Mary. / Identifying child temperament types using cluster analysis in three samples. In: Journal of Research in Personality. 2017 ; Vol. 67. pp. 190-201.
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