Risk factors predictive of the problem behavior of children at risk for emotional and behavioral disorders

J. Ron Nelson, Scott Stage, Kristin Duppong-Hurley, Lori Synhorst, Michael H. Epstein

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

Logistic regression analyses were used to establish the most robust set of risk factors that would best predict borderline/clinical levels of problem behavior (i.e., a t score at or above 60 on the Child Behavior Checklist Total Problem scale) of kindergarten and first-grade children at risk for emotional and behavioral disorders. Results showed that among the 11 risk factor domains considered, 5 were most predictive of borderline/clinical levels of problem behavior: externalizing behavior pattern, internalizing behavior pattern, early childhood child maladjustment, family functioning, and maternal depression. Within these 5 domains, the most robust set of individual risk factors were difficult child (i.e., temperament, parent management skills, interaction between temperament and parent management skills), destroys own toys, and maternal depression. Results, limitations, future research, and implications are discussed.

Original languageEnglish (US)
Pages (from-to)367-379
Number of pages13
JournalExceptional Children
Volume73
Issue number3
DOIs
StatePublished - Jan 1 2007

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Temperament
behavior pattern
Mothers
Depression
Play and Playthings
parents
Child Behavior
Checklist
toy
Logistic Models
Regression Analysis
management
kindergarten
logistics
childhood
regression
Problem Behavior
interaction

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology

Cite this

Risk factors predictive of the problem behavior of children at risk for emotional and behavioral disorders. / Nelson, J. Ron; Stage, Scott; Duppong-Hurley, Kristin; Synhorst, Lori; Epstein, Michael H.

In: Exceptional Children, Vol. 73, No. 3, 01.01.2007, p. 367-379.

Research output: Contribution to journalArticle

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